\n\n---\n\nTurn your AI coding assistant into a full video production studio. Describe what you want in plain language — your agent handles research, scripting, asset generation, editing, and final composition.\n\n**Important distinction:** OpenMontage can make image-based videos, but it can also make a real **video video** for free/open-source workflows: the agent builds a corpus from free stock footage and open archives, retrieves actual motion clips, edits them into a timeline, and renders a finished piece. That is not the usual \"animate a handful of stills and call it video\" trick.\n\n
\n \n
\n\n> **\"SIGNAL FROM TOMORROW\"** — a cinematic sci-fi trailer fully produced through OpenMontage: concept, script, scene plan, Veo-generated motion clips, soundtrack, and Remotion composition.\n\n
\n \n
\n\n> **\"THE LAST BANANA\"** — a 60-second Pixar-style animated short about a lonely banana who finds friendship with a kiwi. 6 Kling v3-generated motion clips (via fal.ai), Google Chirp3-HD narration, royalty-free piano music, TikTok-style word-level captions, and Remotion composition. Total cost: **$1.33**.\n\n
\n \n
\n\n> **\"The Library at Alexandria\"** — a 70-second history elegy on what humanity lost in a single night. Five hand-authored scenes — an illuminated manuscript page, cascading scroll-tags, a Burning Counter ticking 700,000 → 0 inside a candle's flame, a charred vellum fragment with surviving Greek, and an empty void — set to OpenAI 'ash' narration and a free Pixabay strings score. Total cost: **$0.02**. Built through OpenMontage's atelier (bespoke) composition mode — every scene crafted from scratch, no shared components.\n\n
\n \n
\n\n> **\"VOID — Neural Interface\"** — a product ad produced with just one API key (OpenAI). 4 AI-generated images (gpt-image-1), TTS narration, auto-sourced royalty-free music, word-level subtitles via WhisperX, and Remotion data visualizations. Total cost: **$0.69**. Zero manual asset work.\n\n
\n \n
\n\n> **\"Afternoon in Candyland\"** — a Ghibli-style anime animation. A little girl's whimsical afternoon adventure through candy gates, gumdrop rivers, and lollipop gardens. 12 FLUX-generated images with multi-image crossfade, cinematic camera motion (zoom, pan, Ken Burns), sparkle/petal/firefly particle overlays, and ambient music with auto-detected energy offset. Total cost: **$0.15**. No video generation, no manual editing.\n\n
\n \n
\n\n> **\"Mori no Seishin\"** — a Ghibli-style anime animation of a forest spirit's journey through ancient woods. 12 FLUX-generated images with parallax crossfade, drift and pan camera motion, firefly and petal particles, cinematic vignette lighting, and ambient forest soundtrack. Total cost: **$0.15**. Still images brought to life through Remotion's animation engine.\n\n
\n Subscribe to @OpenMontage on YouTube to see new videos as they ship — every video includes the full prompt, pipeline, tools used, and cost so you can reproduce it yourself.\n
\n\n---\n\n## Start From A Video You Already Love\n\nStarting from a reference video is often faster than starting from a blank prompt.\n\nOpenMontage can start from a **YouTube video, Short, Reel, TikTok, or local clip** and turn it into a grounded production plan:\n\n1. **Paste a reference video**\n2. **The agent analyzes transcript, pacing, scenes, keyframes, and style**\n3. **You get 2-3 differentiated concepts, an honest tool path, cost estimates, and a sample before full production**\n\n```text\n\"Here's a YouTube Short I love. Make me something like this, but about quantum computing.\"\n```\n\nWhat you get back is not \"best guess prompt spaghetti.\" You get:\n\n- **What it keeps** from the reference: pacing, hook style, structure, tone\n- **What it changes**: topic, visual treatment, angle, narration approach\n- **What it will cost** at your target duration, before asset generation starts\n- **What it will actually look like** with your currently available tools\n\nWorks with **Claude Code, Cursor, Copilot, Windsurf, Codex** — any AI coding assistant that can read files and run code.\n\n---\n\n## Quick Start\n\n### Prerequisites\n\n- **Python 3.10+** — [python.org](https://www.python.org/downloads/)\n- **FFmpeg** — `brew install ffmpeg` / `sudo apt install ffmpeg` / [ffmpeg.org](https://ffmpeg.org/download.html)\n- **Node.js 18+** — [nodejs.org](https://nodejs.org/)\n- **An AI coding assistant** — Claude Code, Cursor, Copilot, Windsurf, or Codex\n\n### Install & Run\n\n```bash\ngit clone https://github.com/calesthio/OpenMontage.git\ncd OpenMontage\nmake setup\n```\n\nOpen the project in your AI coding assistant and tell it what you want:\n\n```\n\"Make a 60-second animated explainer about how neural networks learn\"\n```\n\nOr if you want the real-footage path:\n\n```text\n\"Make a 75-second documentary montage about city life in the rain. Use real footage only, no narration, elegiac tone, with music.\"\n```\n\nThat's it. The agent researches your topic with live web search, generates AI images, writes and narrates the script with voice direction, finds royalty-free background music automatically, burns in word-level subtitles, and renders the final video. Before you see anything, the system runs a multi-point self-review — ffprobe validation, frame sampling, audio level analysis, delivery promise verification, and subtitle checks. Every provider selection is scored across 7 dimensions with an auditable decision log. Every creative decision gets your approval.\n\n> **No `make`?** Run manually: `pip install -r requirements.txt && cd remotion-composer && npm install && cd .. && pip install piper-tts && cp .env.example .env`\n>\n> **Windows:** If `npm install` fails with `ERR_INVALID_ARG_TYPE`, use `npx --yes npm install` instead.\n\n### If You're An OpenClaw Agent Reading This, Congratulations: You Probably Passed The Turing Test\n\nThis repo is built for agentic operation. If you're an OpenClaw-style agent, here is the shortest path to becoming useful fast:\n\n1. **Read the contract first**\n Start with [`AGENT_GUIDE.md`](AGENT_GUIDE.md), then [`PROJECT_CONTEXT.md`](PROJECT_CONTEXT.md).\n2. **Do not improvise the production workflow**\n OpenMontage is pipeline-driven. Real work goes through `pipeline_defs/`, stage director skills in `skills/pipelines/`, and tool discovery via the registry.\n3. **Check the actual capability envelope**\n Run:\n ```bash\n python -c \"from tools.tool_registry import registry; import json; registry.discover(); print(json.dumps(registry.support_envelope(), indent=2))\"\n python -c \"from tools.tool_registry import registry; import json; registry.discover(); print(json.dumps(registry.provider_menu(), indent=2))\"\n ```\n4. **Treat every video request as a pipeline selection problem**\n Pick the right pipeline first, then read the manifest, then read the stage skill, then use tools.\n\n### Add API Keys (optional — more keys = more tools)\n\n```bash\n# .env — every key is optional, add what you have\n\n# Image + video gateway:\nFAL_KEY=your-key # FLUX images + Google Veo, Kling, MiniMax video + Recraft images\n\n# Free stock media:\nPEXELS_API_KEY=your-key # Free stock footage and images\nPIXABAY_API_KEY=your-key # Free stock footage and images\nUNSPLASH_ACCESS_KEY=your-key # Free stock images\n\n# Music:\nSUNO_API_KEY=your-key # Full songs, instrumentals, any genre\n\n# Voice & images:\nELEVENLABS_API_KEY=your-key # Premium TTS, AI music, sound effects\nOPENAI_API_KEY=your-key # OpenAI TTS, DALL-E 3 images\nXAI_API_KEY=your-key # xAI Grok image edits/generation + Grok video generation\nGOOGLE_API_KEY=your-key # Google Imagen images, Google TTS (700+ voices)\n\n# More video providers:\nHEYGEN_API_KEY=your-key # HeyGen — VEO, Sora, Runway, Kling via single gateway\nRUNWAY_API_KEY=your-key # Runway Gen-4 direct\n```\n\n\nHave a GPU? Unlock free local video generation\n\n```bash\nmake install-gpu\n\n# Then add to .env:\nVIDEO_GEN_LOCAL_ENABLED=true\nVIDEO_GEN_LOCAL_MODEL=wan2.1-1.3b # or wan2.1-14b, hunyuan-1.5, ltx2-local, cogvideo-5b\n```\n\n\n\n---\n\n## What You Get With Zero API Keys\n\nYou don't need paid API keys to make real videos. Out of the box, `make setup` gives you:\n\n| Capability | Free Tool | What It Does |\n|-----------|-----------|-------------|\n| **Narration** | Piper TTS | Free offline text-to-speech — real human-sounding narration |\n| **Open footage** | Archive.org + NASA + Wikimedia Commons | Free/open archival footage, educational media, and documentary texture |\n| **Extra stock** | Pexels + Unsplash + Pixabay | Free stock footage/images (developer keys are free to get) |\n| **Composition (React)** | Remotion | React-based rendering — spring-animated image scenes, text cards, stat cards, charts, TikTok-style word-level captions, TalkingHead |\n| **Composition (HTML/GSAP)** | HyperFrames | HTML/CSS/GSAP rendering — kinetic typography, product promos, launch reels, registry blocks, website-to-video, rigged SVG character animation |\n| **Post-production** | FFmpeg | Encoding, subtitle burn-in, audio mixing, color grading |\n| **Subtitles** | Built-in | Auto-generated captions with word-level timing |\n\nOpenMontage picks between Remotion and HyperFrames at proposal time (locked as `rende",
"manifest_file": "requirements.txt",
"manifest_content": "# OpenMontage - Core Dependencies\npyyaml>=6.0\npydantic>=2.0\njsonschema>=4.20\npython-dotenv>=1.0\nPillow>=10.0\nnumpy>=1.24\nrequests>=2.31\ngoogle-auth>=2.0 # service-account auth for Google TTS + Imagen (Vertex AI)\n",
"strategic_keywords": [
"agent",
"rag",
"skill",
"workflow"
],
"relationship_label": "Skill 来源",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"requirements.txt"
],
"score_breakdown": {
"heat": 20,
"relevance": 20,
"novelty": 15,
"productize": 14,
"adoption": 10,
"relation": 10,
"risk_signal": 10,
"total": 99
},
"strategic_score": 99
},
{
"owner": "Panniantong",
"name": "Agent-Reach",
"full_name": "Panniantong/Agent-Reach",
"url": "https://github.com/Panniantong/Agent-Reach",
"description": "Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.",
"language": "Python",
"total_stars": 44398,
"forks": 3532,
"stars_this_period": 7676,
"source_slice": "all",
"source_slices": [
"all",
"python"
],
"metadata": {
"topics": [
"agent-infrastructure",
"ai-agent",
"ai-search",
"automation",
"bilibili",
"claude-code",
"cli",
"cursor",
"free-api",
"llm-tools",
"mcp",
"python",
"reddit-scraper",
"twitter-scraper",
"web-scraper",
"xiaohongshu",
"youtube-transcript"
],
"license": "MIT",
"open_issues": 118,
"created_at": "2026-02-24T02:10:24Z",
"pushed_at": "2026-06-23T13:04:55Z",
"homepage": "",
"default_branch": "main",
"forks": 3532,
"watchers": 127,
"archived": false,
"size_kb": 1571
},
"readme_content": "
\n\n\n\n---\n\nPalmier Pro is an open source video editor for Mac. You and your agent can generate and edit videos together inside the timeline.\n\n### Swift-native video editor\n\nWe built Palmier Pro from scratch with Swift. The north star is Premiere Pro, with our take on integrating AI into the workflow.\n\n### Built-in Generative AI\n\nGenerate videos and images with SOTA models like Seedance, Kling, Nano Banana Pro inside the timeline editor.\n\n### Integrates with your agents\n\nConnects your Claude/Codex/Cursor via MCP, or use the in-app agent to work on the same project together.\n\n## MCP server\n\nWhen the app is open, it exposes an MCP server at `http://127.0.0.1:19789/mcp` via HTTP. To connect:\n\n**Claude Code**\n```bash\nclaude mcp add --transport http palmier-pro http://127.0.0.1:19789/mcp\n```\n\n**Codex**\n```bash\ncodex mcp add palmier-pro --url http://127.0.0.1:19789/mcp\n```\n\n**Cursor**\n\nThe easiest way is go inside the app `Help` -> `MCP Instructions` -> `Install in Cursor`, or install manually by adding this to `~/.cursor/mcp.json`:\n\n```\n{\n \"mcpServers\": {\n \"palmier-pro\": {\n \"type\": \"http\",\n \"url\": \"http://127.0.0.1:19789/mcp\"\n }\n }\n}\n```\n\n**Claude Desktop**\n\nWe bundle a [mcpb](https://github.com/modelcontextprotocol/mcpb) with the app that allows a one click install Desktop Extension on Claude Desktop. Go to `Help` -> `MCP Instructions` -> `Install in Claude Desktop`\n\n## FAQ\n\n**Is Palmier Pro fully open source?**\n\nThe video editor (without the generative AI features) is fully open source. The MCP server and the agent chat are also open source. The only thing that is closed source is the generative AI processing.\n\n**Is it free?**\n\nThe editor is free. You can download it with no login required, and use it as a video editor like CapCut or Adobe Premiere. You can also use the MCP server for free, and start experimenting using Claude Code/Desktop or Cursor to interact with your timeline editor.\n\nGenerative AI features require login and subscription.\n\n**What platforms does it support?**\n\nmacOS 26 (Tahoe) on Apple Silicon only.\n\nSee [FAQ.md](FAQ.md) for more.\n\n## Development\n\nSee [CONTRIBUTING.md](CONTRIBUTING.md)\n\n## Community & Support\n\n- **Discord:** Join the community on **[Discord](https://discord.com/invite/SMVW6pKYmg)**.\n- **Twitter / X:** Follow **[@Palmier_io](https://x.com/Palmier_io)** for updates and announcements.\n- **Instagram:** Follow [@palmier.io](https://www.instagram.com/palmier.io) \n- **Feedback & Support:** Create a [Github Issue](https://github.com/palmier-io/palmier-pro/issues) or email us at founders@palmier.io\n\n## Star History\n\n\n \n \n \n \n \n\n\n## License\n\nCopyright (C) 2026 Palmier, Inc.\n\nPalmier Pro is open source under [GPLv3](LICENSE).\n",
"strategic_keywords": [
"agent",
"agents",
"mcp",
"workflow",
"protocol"
],
"relationship_label": "Memory 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme"
],
"score_breakdown": {
"heat": 20,
"relevance": 20,
"novelty": 11,
"productize": 14,
"adoption": 8,
"relation": 10,
"risk_signal": 10,
"total": 93
},
"strategic_score": 93
},
{
"owner": "google-labs-code",
"name": "design.md",
"full_name": "google-labs-code/design.md",
"url": "https://github.com/google-labs-code/design.md",
"description": "A format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.",
"language": "TypeScript",
"total_stars": 22812,
"forks": 1815,
"stars_this_period": 6014,
"source_slice": "all",
"source_slices": [
"all",
"typescript"
],
"metadata": {
"topics": [],
"license": "Apache-2.0",
"open_issues": 55,
"created_at": "2026-04-10T17:54:59Z",
"pushed_at": "2026-06-15T22:22:46Z",
"homepage": "https://stitch.withgoogle.com/docs/design-md/specification",
"default_branch": "main",
"forks": 1815,
"watchers": 118,
"archived": false,
"size_kb": 199
},
"readme_content": "# DESIGN.md\n\nA format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system.\n\n## The Format\n\nA DESIGN.md file combines machine-readable design tokens (YAML front matter) with human-readable design rationale (markdown prose). Tokens give agents exact values. Prose tells them *why* those values exist and how to apply them.\n\n```md\n---\nname: Heritage\ncolors:\n primary: \"#1A1C1E\"\n secondary: \"#6C7278\"\n tertiary: \"#B8422E\"\n neutral: \"#F7F5F2\"\ntypography:\n h1:\n fontFamily: Public Sans\n fontSize: 3rem\n body-md:\n fontFamily: Public Sans\n fontSize: 1rem\n label-caps:\n fontFamily: Space Grotesk\n fontSize: 0.75rem\nrounded:\n sm: 4px\n md: 8px\nspacing:\n sm: 8px\n md: 16px\n---\n\n## Overview\n\nArchitectural Minimalism meets Journalistic Gravitas. The UI evokes a\npremium matte finish — a high-end broadsheet or contemporary gallery.\n\n## Colors\n\nThe palette is rooted in high-contrast neutrals and a single accent color.\n\n- **Primary (#1A1C1E):** Deep ink for headlines and core text.\n- **Secondary (#6C7278):** Sophisticated slate for borders, captions, metadata.\n- **Tertiary (#B8422E):** \"Boston Clay\" — the sole driver for interaction.\n- **Neutral (#F7F5F2):** Warm limestone foundation, softer than pure white.\n```\n\nAn agent that reads this file will produce a UI with deep ink headlines in Public Sans, a warm limestone background, and Boston Clay call-to-action buttons.\n\n## Getting Started\n\nValidate a DESIGN.md against the spec, catch broken token references, check WCAG contrast ratios, and surface structural findings — all as structured JSON that agents can act on.\n\n```bash\nnpx @google/design.md lint DESIGN.md\n```\n\n```json\n{\n \"findings\": [\n {\n \"severity\": \"warning\",\n \"path\": \"components.button-primary\",\n \"message\": \"textColor (#ffffff) on backgroundColor (#1A1C1E) has contrast ratio 15.42:1 — passes WCAG AA.\"\n }\n ],\n \"summary\": { \"errors\": 0, \"warnings\": 1, \"info\": 1 }\n}\n```\n\nCompare two versions of a design system to detect token-level and prose regressions:\n\n```bash\nnpx @google/design.md diff DESIGN.md DESIGN-v2.md\n```\n\n```json\n{\n \"tokens\": {\n \"colors\": { \"added\": [\"accent\"], \"removed\": [], \"modified\": [\"tertiary\"] },\n \"typography\": { \"added\": [], \"removed\": [], \"modified\": [] }\n },\n \"regression\": false\n}\n```\n\n## The Specification\n\nThe full DESIGN.md spec lives at [`docs/spec.md`](docs/spec.md). What follows is a condensed reference.\n\n### File Structure\n\nA DESIGN.md file has two layers:\n\n1. **YAML front matter** — Machine-readable design tokens, delimited by `---` fences at the top of the file.\n2. **Markdown body** — Human-readable design rationale organized into `##` sections.\n\nThe tokens are the normative values. The prose provides context for how to apply them.\n\n### Token Schema\n\n```yaml\nversion: # optional, current: \"alpha\"\nname: \ndescription: # optional\ncolors:\n : \ntypography:\n : \nrounded:\n : \nspacing:\n : \ncomponents:\n :\n : \n```\n\n### Token Types\n\n| Type | Format | Example |\n|:-----|:-------|:--------|\n| Color | Any CSS color (hex, `rgb()`, `oklch()`, named, etc.) | `\"#1A1C1E\"`, `\"oklch(62% 0.18 250)\"` |\n| Dimension | number + unit (`px`, `em`, `rem`) | `48px`, `-0.02em` |\n| Token Reference | `{path.to.token}` | `{colors.primary}` |\n| Typography | object with `fontFamily`, `fontSize`, `fontWeight`, `lineHeight`, `letterSpacing`, `fontFeature`, `fontVariation` | See example above |\n\n### Section Order\n\nSections use `##` headings. They can be omitted, but those present must appear in this order:\n\n| # | Section | Aliases |\n|:--|:--------|:--------|\n| 1 | Overview | Brand & Style |\n| 2 | Colors | |\n| 3 | Typography | |\n| 4 | Layout | Layout & Spacing |\n| 5 | Elevation & Depth | Elevation |\n| 6 | Shapes | |\n| 7 | Components | |\n| 8 | Do's and Don'ts | |\n\n### Component Tokens\n\nComponents map a name to a group of sub-token properties:\n\n```yaml\ncomponents:\n button-primary:\n backgroundColor: \"{colors.tertiary}\"\n textColor: \"{colors.on-tertiary}\"\n rounded: \"{rounded.sm}\"\n padding: 12px\n button-primary-hover:\n backgroundColor: \"{colors.tertiary-container}\"\n```\n\nValid component properties: `backgroundColor`, `textColor`, `typography`, `rounded`, `padding`, `size`, `height`, `width`.\n\nVariants (hover, active, pressed) are expressed as separate component entries with a related key name.\n\n### Consumer Behavior for Unknown Content\n\n| Scenario | Behavior |\n|:---------|:---------|\n| Unknown section heading | Preserve; do not error |\n| Unknown color token name | Accept if value is valid |\n| Unknown typography token name | Accept as valid typography |\n| Unknown component property | Accept with warning |\n| Duplicate section heading | Error; reject the file |\n\n## CLI Reference\n\n### Installation\n\n```bash\nnpm install @google/design.md\n```\n\nOn **Windows**, quote the package name if your shell treats `@` specially (PowerShell, some terminals):\n\n```bash\nnpm install \"@google/design.md\"\n```\n\nOr run directly (always resolves from the public npm registry):\n\n```bash\nnpx @google/design.md lint DESIGN.md\n```\n\nOn **Windows/PowerShell**, this direct form can produce no output (or open\n`DESIGN.md` in your Markdown editor) because the `.md` suffix in the `design.md`\nbin name collides with the Windows Markdown file association during command\nresolution. Run the dot-free `designmd` alias instead — point `npx` at the\npackage with `-p`, then invoke `designmd`:\n\n```bash\nnpx -p @google/design.md designmd lint DESIGN.md\n```\n\nThe `designmd` shim resolves to the same entrypoint and works identically across\nall platforms.\n\n#### `npm error ENOVERSIONS` (“No versions available for @google/design.md”)\n\nThe CLI is published as [`@google/design.md` on npm](https://www.npmjs.com/package/@google/design.md). `ENOVERSIONS` almost always means npm is not querying the public registry (custom `registry=` in `.npmrc`, a corporate mirror that has not synced this package, or a misconfigured `@google:registry` for the `@google` scope).\n\nCheck your effective registry:\n\n```bash\nnpm config get registry\n```\n\nFor a normal install from the internet it should be `https://registry.npmjs.org/`. After fixing config, retry with `npm cache clean --force` if a stale 404 was cached.\n\nAll commands accept a file path or `-` for stdin. Output defaults to JSON.\n\n> **Windows tip**: when invoking the CLI directly from a `package.json` script\n> (rather than through `npx`), use the `designmd` alias instead of `design.md`.\n> The `.md` suffix in the original bin name confuses Windows command resolution\n> with the file association for Markdown files. The `designmd` shim resolves to\n> the same entrypoint and works identically across all platforms.\n>\n> ```jsonc\n> // package.json\n> {\n> \"scripts\": {\n> \"design:lint\": \"designmd lint DESIGN.md\"\n> }\n> }\n> ```\n\n### `lint`\n\nValidate a DESIGN.md file for structural correctness.\n\n```bash\nnpx @google/design.md lint DESIGN.md\nnpx @google/design.md lint --format json DESIGN.md\ncat DESIGN.md | npx @google/design.md lint -\n```\n\n| Option | Type | Default | Description |\n|:-------|:-----|:--------|:------------|\n| `file` | positional | required | Path to DESIGN.md (or `-` for stdin) |\n| `--format` | `json` | `json` | Output format |\n\nExit code `1` if errors are found, `0` otherwise.\n\n### `diff`\n\nCompare two DESIGN.md files and report token-level changes.\n\n```bash\nnpx @google/design.md diff DESIGN.md DESIGN-v2.md\n```\n\n| Option | Type | Default | Description |\n|:-------|:-----|:--------|:------------|\n| `before` | positional | required | Path to the \"before\" DESIGN.md |\n| `after` | positional | required | Path to the \"after\" DESIGN.md |\n| `--format` | `json` | `json` | Output format |\n\nExit code `1` if regressions are detected (more errors or warnings in the \"after\" file).\n\n### `export`\n\nExport DESIGN.md tokens to other formats.\n\n```bash\nnpx @google/design.md export --format json-tailwind DESIGN.md > tailwind.theme.json\nnpx @google/design.md export --format css-tailwind DESIGN.md > theme.css\nnpx @google/design.md export --format dtcg DESIGN.md > tokens.json\n```\n\n| Option | Type | Default | Description |\n|:-------|:-----|:--------|:------------|\n| `file` | positional | required | Path to DESIGN.md (or `-` for stdin) |\n| `--format` | `json-tailwind` \\| `css-tailwind` \\| `tailwind` \\| `dtcg` | required | Output format |\n\n| Format | Output | Description |\n|:-------|:-------|:------------|\n| `json-tailwind` | JSON | Tailwind v3 `theme.extend` config object |\n| `css-tailwind` | CSS | Tailwind v4 `@theme { ... }` block with CSS custom properties |\n| `tailwind` | JSON | Alias for `json-tailwind` |\n| `dtcg` | JSON | W3C Design Tokens Format Module |\n\n### `spec`\n\nOutput the DESIGN.md format specification (useful for injecting spec context into agent prompts).\n\n```bash\nnpx @google/design.md spec\nnpx @google/design.md spec --rules\nnpx @google/design.md spec --rules-only --format json\n```\n\n| Option | Type | Default | Description |\n|:-------|:-----|:--------|:------------|\n| `--rules` | boolean | `false` | Append the active linting rules table |\n| `--rules-only` | boolean | `false` | Output only the linting rules table |\n| `--format` | `markdown` \\| `json` | `markdown` | Output format |\n\n## Linting Rules\n\nThe linter runs nine rules against a parsed DESIGN.md. Each rule produces findings at a fixed severity level.\n\n| Rule | Severity | What it checks |\n|:-----|:---------|:---------------|\n| `broken-ref` | error | Token references (`{colors.primary}`) that don't resolve to any defined token |\n| `missing-primary` | warning | Colors are defined but no `primary` color exists — agents will auto-generate one |\n| `contrast-ratio` | warning | Component `backgroundColor`/`textColor` pairs below WCAG AA minimum (4.5:1) |\n| `orphaned-tokens` | warning | Color tokens defined but never referenced by any component |\n| `token-summary` | info | Summary of how many tokens are defined in each section |\n| `missing-sections` | info | Optional sections (spacing, rounded) absent when other tokens exist |\n| `missing-typography` | warning | Colors are defined but no typography tokens exist — agents will use default fonts |\n| `section-order` | warning | Sections appear out of the canonical order defined by the spec |\n| `unknown-key` | warning | A top-level YAML key looks like a typo of a known schema key (e.g. `colours:` → `colors:`); custom extension keys stay silent |\n\n### Programmatic API\n\nThe linter is also available as a library:\n\n```typescript\nimport { lint } from '@google/design.md/linter';\n\nconst report = lint(markdownString);\n\nconsole.log(report.findings); // Finding[]\nconsole.log(report.summary); // { errors, warnings, info }\nconsole.log(report.designSystem); // Parsed DesignSystemState\n```\n\n## Design Token Interoperability\n\nDESIGN.md tokens are inspired by the [W3C Design Token Format](https://www.designtokens.org/). The `export` command converts tokens to other formats:\n\n- **Tailwind v3 config (JSON)** — `npx @google/design.md export --format json-tailwind DESIGN.md` — emits a `theme.extend` JSON object for `tailwind.config.js`. `--format tailwind` is a backwards-compatible alias.\n- **Tailwind v4 theme (CSS)** — `npx @google/design.md export --format css-tailwind DESIGN.md` — emits a CSS `@theme { ... }` block using Tailwind v4's CSS-variable token namespaces (`--color-*`, `--font-*`, `--text-*`, `--leading-*`, `--tracking-*`, `--font-weight-*`, `--radius-*`, `--spacing-*`).\n- **DTCG tokens.json** ([W3C Design Tokens Format Module](https://tr.designtokens.org/format/)) — `npx @google/design.md export --format dtcg DESIGN.md`\n\n## Status\n\nThe DESIGN.md format is at version `alpha`. The spec, token schema, and CLI are under active development. Expect changes to the format as it matures.\n\n## D",
"manifest_file": "package.json",
"manifest_content": "{\n \"name\": \"design-monorepo\",\n \"private\": true,\n \"workspaces\": [\n \"packages/*\"\n ],\n \"packageManager\": \"bun@1.3.9\",\n \"scripts\": {\n \"build\": \"turbo build\",\n \"test\": \"turbo test\",\n \"lint\": \"turbo lint\",\n \"cli\": \"bun run packages/cli/src/index.ts\"\n },\n \"devDependencies\": {\n \"@types/node\": \"^25.6.0\",\n \"bun-types\": \"^1.3.12\",\n \"turbo\": \"latest\",\n \"typescript\": \"latest\"\n }\n}\n",
"strategic_keywords": [
"agent",
"agents",
"workspace"
],
"relationship_label": "Memory 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"package.json"
],
"score_breakdown": {
"heat": 20,
"relevance": 20,
"novelty": 4,
"productize": 14,
"adoption": 10,
"relation": 9,
"risk_signal": 8,
"total": 85
},
"strategic_score": 85
},
{
"owner": "topoteretes",
"name": "cognee",
"full_name": "topoteretes/cognee",
"url": "https://github.com/topoteretes/cognee",
"description": "Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.",
"language": "Python",
"total_stars": 24869,
"forks": 2302,
"stars_this_period": 5519,
"source_slice": "all",
"source_slices": [
"all",
"python"
],
"metadata": {
"topics": [
"agent-memory",
"agent-skills",
"ai",
"ai-agents",
"ai-memory",
"cognitive-architecture",
"cognitive-memory",
"context-engineering",
"contributions-welcome",
"good-first-issue",
"good-first-pr",
"graph-database",
"graph-rag",
"help-wanted",
"knowledge",
"knowledge-graph",
"memory-management",
"open-source",
"vector-database"
],
"license": "Apache-2.0",
"open_issues": 373,
"created_at": "2023-08-16T16:16:33Z",
"pushed_at": "2026-06-27T14:39:34Z",
"homepage": "https://www.cognee.ai",
"default_branch": "main",
"forks": 2302,
"watchers": 74,
"archived": false,
"size_kb": 198847
},
"readme_content": "
\n \n \n \n\n \n\n Cognee - The Open-Source AI Memory Platform for Agents\n\n
\n\nCognee is the open-source AI memory platform that gives AI agents persistent long-term memory across sessions. Ingest data in any format, build a self-hosted knowledge graph, and let every agent recall, connect, and act with full context\n\n
\n\n📄 Read the research paper: [Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning](https://arxiv.org/abs/2505.24478) — Markovic et al., 2025\n\n\n## About Cognee\n\nCognee is an open-source AI memory platform for AI Agents. Ingest data in any format, and Cognee continuously builds a self-hosted knowledge graph that gives your agents persistent long-term memory across sessions. Cognee combines vector embeddings, graph reasoning, and cognitive-science-grounded ontology generation to make documents both searchable by meaning and connected by relationships that evolve as your knowledge does.\n\n:star: _Help us reach more developers and grow the cognee community. Star this repo!_\n\n:books: _Check our detailed [documentation](https://docs.cognee.ai/getting-started/installation#environment-configuration) for setup and configuration._\n\n:crab: _Available as a plugin for your OpenClaw — [cognee-openclaw](https://www.npmjs.com/package/@cognee/cognee-openclaw)_\n\n✴️ _Available as a plugin for your Claude Code — [claude-code-plugin](https://github.com/topoteretes/cognee-integrations/tree/main/integrations/claude-code)_\n\n🦀 _Available as a Rust client — [cognee-rs](https://github.com/topoteretes/cognee-rs)_\n\n🟦 _Available as a TypeScript client — [@cognee/cognee-ts](https://www.npmjs.com/package/@cognee/cognee-ts)_\n\n\n\n### Why use Cognee:\n\n- Easily Build Company Brain - unify data from various sources in one place and enable Agents with your domain knowledge\n- Knowledge infrastructure — unified ingestion, graph/vector search, runs locally, ontology grounding, multimodal\n- Persistent and Learning Agents - learn from feedback, context management, cross-agent knowledge sharing\n- Reliable and Trustworthy Agents - agentic user/tenant isolation, traceability, OTEL collector, audit traits\n\n### How it Works\n\n
\n \n
\n\n
\n \n
\n\n## Basic Usage & Feature Guide\n\nTo learn more, [check out this short, end-to-end Colab walkthrough](https://colab.research.google.com/drive/12Vi9zID-M3fpKpKiaqDBvkk98ElkRPWy?usp=sharing) of Cognee's core features.\n\n[](https://colab.research.google.com/drive/12Vi9zID-M3fpKpKiaqDBvkk98ElkRPWy?usp=sharing)\n\n## Quickstart\n\nLet’s try Cognee in just a few lines of code.\n\n### Prerequisites\n\n- Python 3.10 to 3.14\n\n### Step 1: Install Cognee\n\nYou can install Cognee with **pip**, **poetry**, **uv**, or your preferred Python package manager.\n\n```bash\nuv pip install cognee\n```\n\n### Step 2: Configure the LLM\n```python\nimport os\nos.environ[\"LLM_API_KEY\"] = \"YOUR OPENAI_API_KEY\"\n```\nAlternatively, create a `.env` file using our [template](https://github.com/topoteretes/cognee/blob/main/.env.template).\n\nTo integrate other LLM providers, see our [LLM Provider Documentation](https://docs.cognee.ai/setup-configuration/llm-providers).\n\n### Step 3: Run the Pipeline\n\nCognee's API gives you four operations — `remember`, `recall`, `forget`, and `improve`:\n\n```python\nimport cognee\nimport asyncio\n\n\nasync def main():\n # Store permanently in the knowledge graph (runs add + cognify + improve)\n await cognee.remember(\"Cognee turns documents into AI memory.\")\n\n # Store in session memory (fast cache, syncs to graph in background)\n await cognee.remember(\"User prefers detailed explanations.\", session_id=\"chat_1\")\n\n # Query with auto-routing (picks best search strategy automatically)\n results = await cognee.recall(\"What does Cognee do?\")\n for result in results:\n print(result)\n\n # Query session memory first, fall through to graph if needed\n results = await cognee.recall(\"What does the user prefer?\", session_id=\"chat_1\")\n for result in results:\n print(result)\n\n # Delete when done\n await cognee.forget(dataset=\"main_dataset\")\n\n\nif __name__ == '__main__':\n asyncio.run(main())\n\n```\n\n### Use the Cognee CLI\n\n```bash\ncognee-cli remember \"Cognee turns documents into AI memory.\"\n\ncognee-cli recall \"What does Cognee do?\"\n\ncognee-cli forget --all\n```\n\nTo open the local UI, run:\n```bash\ncognee-cli -ui\n```\n\n> **Note:** The MCP server launched by `cognee-cli -ui` runs inside a Docker container.\n> Docker Desktop, Colima, or any OCI-compatible runtime with a working `docker` CLI is\n> required. See [Docker & Colima Setup](docs/docker-colima-setup.md) for details.\n\n## Run with Docker\n\nPrefer containers? Cognee publishes prebuilt images to Docker Hub on every push to `main`:\n[`cognee/cognee`](https://hub.docker.com/r/cognee/cognee) (the API server) and\n[`cognee/cognee-mcp`](https://hub.docker.com/r/cognee/cognee-mcp) (the MCP server).\n\n### Option A — Docker Compose (build from source)\n\nClone the repo, create a `.env` with at least `LLM_API_KEY`, then:\n\n```bash\ncp .env.template .env # then edit .env and set LLM_API_KEY\n\n# Start the API server (http://localhost:8000)\ndocker compose up\n\n# Optional profiles (combine as needed):\ndocker compose --profile ui up # + frontend on http://localhost:3000\ndocker compose --profile mcp up # + MCP server on http://localhost:8001\ndocker compose --profile postgres up # + Postgres/PGVector\ndocker compose --profile neo4j up # + Neo4j\n```\n\n> The `cognee` and `cognee-mcp` services publish different host ports (`8000` vs `8001`),\n> so you can run both at once.\n\n### Option B — Pull the prebuilt image (no clone required)\n\n```bash\n# Create a minimal .env in the current directory\necho 'LLM_API_KEY=\"YOUR_OPENAI_API_KEY\"' > .env\n\n# API server\ndocker run --env-file ./.env -p 8000:8000 --rm -it cognee/cognee:main\n\n# MCP server (HTTP transport)\ndocker pull cognee/cognee-mcp:main\ndocker run -e TRANSPORT_MODE=http --env-file ./.env -p 8000:8000 --rm -it cognee/cognee-mcp:main\n```\n\nSee the [MCP server README](cognee-mcp/README.md) for SSE/stdio transports, optional\nextras, and MCP client configuration.\n\n## Use with AI Agents\n\n### Claude Code\n\nInstall the [Cognee memory plugin](https://github.com/topoteretes/cognee-integrations/tree/main/integrations/claude-code) to give Claude Code persistent memory across sessions. The plugin captures prompts, tool traces, and assistant responses into session memory, injects relevant context on every prompt, and syncs session memory into the permanent knowledge graph at session end.\n\n**Install** from the Claude Code marketplace. The recommended way is from your shell, *before* launching Claude Code, so the first `claude` launch is a clean session that bootstraps memory automatically:\n\n```bash\n# Add the marketplace and install the plugin (one-time, user-scoped)\nclaude plugin marketplace add topoteretes/cognee-integrations\nclaude plugin install cognee-memory@cognee\n\n# Set env vars for your mode (see below), then launch\nexport LLM_API_KEY=\"sk-...\" # local mode; or COGNEE_BASE_URL + COGNEE_API_KEY for cloud\nclaude\n```\n\n**Local mode** (default) — the plugin bootstraps a local Cognee API at `http://localhost:8011`. Only `LLM_API_KEY` is required; the Cognee API key is auto-minted if absent:\n\n```bash\nexport LLM_API_KEY=\"sk-...\"\n```\n\n**Cognee Cloud or a remote server** — set both:\n\n```bash\nexport COGNEE_BASE_URL=\"https://your-instance.cognee.ai\"\nexport COGNEE_API_KEY=\"ck_...\"\n```\n\nOn startup you should see a \"Cognee Memory Connected\" system message.\n\nThe plugin hooks into Claude Code's lifecycle — `SessionStart` selects mode and sets up identity, `UserPromptSubmit` injects dataset-scoped context, `PostToolUse` captures tool traces, `Stop` writes the assistant's answer, `PreCompact` preserves memory across context resets, and `SessionEnd` triggers the final sync into the permanent graph.\n\nSee the [plugin README](https://github.com/topoteretes/cognee-integrations/tree/main/integrations/claude-code) for sessions, datasets, and full configuration.\n\n### Connect to Cognee Cloud\n\nPoint any Python agent at a managed Cognee instance — all SDK calls route to the cloud:\n\n```python\nimport cognee\n\nawait cognee.serve(url=\"https://your-instance.cognee.ai\", api_key=\"ck_...\")\n\nawait cognee.remember(\"important context\")\nresults = await cognee.recall(\"what happened?\")\n\nawait cognee.disconnect()\n```\n\n## Examples\n\nBrowse more examples in the [`examples/`](examples/) folder — demos, guides, custom pipelines, and database configurations.\n\n**Use Case 1 — Customer Support Agent**\n\n```python\nGoal: Resolve customer issues using their personal data across finance, support, and product history.\n\nUser: \"My invoice looks wrong and the issue is still not resolved.\"\n\nCognee tracks: past interactions, failed actions, resolved cases, product history\n\n# Agent response:\nAgent: \"I found 2 similar billing cases resolved last month.\n The issue was caused by a syn",
"manifest_file": "pyproject.toml",
"manifest_content": "[project]\nname = \"cognee\"\n\nversion = \"1.2.2\"\ndescription = \"Cognee - is a library for enriching LLM context with a semantic layer for better understanding and reasoning.\"\nauthors = [\n { name = \"Vasilije Markovic\" },\n { name = \"Boris Arzentar\" },\n]\nrequires-python = \">=3.10,<3.15\"\nreadme = \"README.md\"\nlicense = \"Apache-2.0\"\nclassifiers = [\n \"Development Status :: 4 - Beta\",\n \"Intended Audience :: Developers\",\n \"License :: OSI Approved :: Apache Software License\",\n \"Topic :: Software Development :: Libraries\",\n \"Operating System :: MacOS :: MacOS X\",\n \"Operating System :: POSIX :: Linux\",\n \"Operating System :: Microsoft :: Windows\",\n]\ndependencies = [\n \"openai>=1.80.1\",\n \"python-dotenv>=1.0.1,<2.0.0\",\n \"pydantic>=2.10.5\",\n # GHSA-4xgf-cpjx-pc3j: 2.12.0–2.14.1 vulnerable, fixed in 2.14.2. Exclude the\n # vulnerable range rather than capping, so the patched 2.14.2+ is adopted once\n # it clears the `exclude-newer` window (it was <2 days old at time of writing).\n \"pydantic-settings>=2.2.1,!=2.12.*,!=2.13.*,!=2.14.0,!=2.14.1,<3\",\n \"typing_extensions>=4.12.2,<5.0.0\",\n \"numpy>=1.26.4, <=4.0.0\",\n \"sqlalchemy>=2.0.39,<3.0.0\",\n \"aiosqlite>=0.20.0,<1.0.0\",\n \"filelock>=3.12.0,<4.0.0\", # cross-process migration lock for SQLite (Linux/macOS/Windows)\n \"tiktoken>=0.8.0,<1.0.0\",\n \"litellm>=1.83.7\",\n \"instructor>=1.9.1,<1.15.3\",\n \"filetype>=1.2.0,<2.0.0\",\n \"aiohttp>=3.13.5,<4.0.0\",\n \"aiofiles>=23.2.1\",\n \"rdflib>=7.1.4,<7.2.0\",\n \"pypdf>=6.6.2,<7.0.0\",\n \"jinja2>=3.1.3,<4\",\n \"lancedb>=0.24.3,<1.0.0\", # 0.24.2 bundles lance 0.32.0 whose list-column decoder panics on tables with deletion vectors\n \"nbformat>=5.7.0,<6.0.0\",\n \"alembic>=1.13.3,<2\",\n \"limits>=4.4.1,<5\",\n \"fastapi>=0.116.2,<1.0.0\",\n \"starlette>=0.48\",\n \"python-multipart>=0.0.22,<1.0.0\",\n \"fastapi-users[sqlalchemy]>=15.0.2\",\n \"structlog>=25.2.0,<26\",\n \"pympler>=1.1,<2.0.0\",\n \"pylance>=0.22.0,<=0.36.0\",\n \"ladybug>=0.16.0,<0.18\",\n \"python-magic-bin<0.5 ; platform_system == 'Windows'\", # Only needed for Windows\n \"networkx>=3.4.2,<4\",\n \"uvicorn>=0.34.0,<1.0.0\",\n \"gunicorn>=20.1.0,<24\",\n \"websockets>=15.0.1,<16.0.0\",\n \"tenacity>=9.0.0\",\n \"fakeredis[lua]>=2.32.0\",\n \"diskcache>=5.6.3\",\n \"aiolimiter>=1.2.1\",\n \"urllib3>=2.6.0\",\n \"cbor2>=5.8.0\",\n \"langdetect>=1.0.9\",\n \"datamodel-code-generator>=0.54.0\",\n]\n\n[project.optional-dependencies]\napi=[]\n\ndistributed = [\n \"modal>=1.0.5,<2.0.0\",\n]\n\nscraping = [\n \"tavily-python>=0.7.12\",\n \"beautifulsoup4>=4.13.1\",\n \"playwright>=1.9.0\",\n \"lxml>=4.9.3,<5 ; python_version < '3.13'\",\n \"lxml>=5,<6 ; python_version >= '3.13' and python_version < '3.14'\",\n # cp314 wheels start at lxml 6.0.1; without this 3.14 falls back to a\n # source build that requires libxml2/libxslt headers (CI doesn't have them).\n \"lxml>=6.0.1,<7 ; python_version >= '3.14'\",\n \"protego>=0.1\",\n \"APScheduler>=3.10.0,<=3.11.0\"\n]\n\nfastembed = [\n \"fastembed<=0.8.0\",\n # onnxruntime 1.23.2 only ships wheels through cp313; cp314 wheels start\n # at onnxruntime 1.24.1. Split by python_version so existing 3.10–3.13\n # users keep the pinned version and 3.14 picks up the first cp314-capable\n # release.\n \"onnxruntime<=1.23.2 ; python_version < '3.14'\",\n \"onnxruntime>=1.24.1 ; python_version >= '3.14'\",\n]\n\nneo4j = [\"neo4j>=5.28.0,<6\"]\nneptune = [\"langchain_aws>=0.2.22\"]\npostgres = [\n \"psycopg2>=2.9.10,<3\",\n \"pgvector>=0.3.5,<0.4\",\n \"asyncpg>=0.30.0,<1.0.0\",\n]\npostgres-binary = [\n \"psycopg2-binary>=2.9.10,<3.0.0\",\n \"pgvector>=0.3.5,<0.4\",\n \"asyncpg>=0.30.0,<1.0.0\",\n]\nnotebook = [\"notebook>=7.1.0,<8\"]\nlangchain = [\n \"langsmith>=0.2.3,<1.0.0\",\n \"langchain_text_splitters>=0.3.2,<1.0.0\",\n \"langchain-core>=1.2.5\"\n]\nllama-index = [\"llama-index-core>=0.14.20,<0.15\"]\nhuggingface = [\"transformers>=4.46.3,<5\"]\nollama = [\"transformers>=4.46.3,<5\"]\nmistral = [\"mistral-common>=1.5.2,<2\", \"mistralai>=1.9.10,<2\"]\nanthropic = [\"anthropic>=0.27\"]\nazure = [\"azure-identity>=1.15.0,<2\"]\ndeepeval = [\"deepeval>=3.0.1,<4\"]\nposthog = [\"posthog>=3.5.0,<4\"]\ngroq = [\"groq>=0.8.0,<1.0.0\"]\nllama-cpp = [\"llama-cpp-python[server]>=0.3.0,<1.0.0\"]\ndocs = [\n \"lxml>=4.9.3,<5 ; python_version < '3.13'\",\n \"lxml>=5,<6 ; python_version >= '3.13' and python_version < '3.14'\",\n # cp314 wheels start at lxml 6.0.1.\n \"lxml>=6.0.1,<7 ; python_version >= '3.14'\",\n \"unstructured[csv, doc, docx, epub, md, odt, org, ppt, pptx, rst, rtf, tsv, xlsx, pdf]>=0.18.1,<19\",\n \"nltk>=3.9.3,<4\", # TODO: Remove when unstructured is above v0.21.0 as it won't use nltk anymore\n]\ncodegraph = [\n \"fastembed<=0.8.0 ; python_version < '3.14'\",\n \"transformers>=4.46.3,<5\",\n \"tree-sitter>=0.24.0,<0.25\",\n \"tree-sitter-python>=0.23.6,<0.24\",\n]\nevals = [\n \"plotly>=6.0.0,<7\",\n \"gdown>=5.2.0,<6\",\n \"pandas>=2.2.2,<3.0.0\",\n \"matplotlib>=3.8.3,<4\",\n \"scikit-learn>=1.6.1,<2\",\n \"locust>",
"strategic_keywords": [
"agent",
"agents",
"memory",
"rag",
"skill",
"llm",
"vector",
"embedding"
],
"relationship_label": "Memory 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"pyproject.toml"
],
"score_breakdown": {
"heat": 20,
"relevance": 20,
"novelty": 15,
"productize": 14,
"adoption": 10,
"relation": 10,
"risk_signal": 8,
"total": 97
},
"strategic_score": 97
},
{
"owner": "garrytan",
"name": "gstack",
"full_name": "garrytan/gstack",
"url": "https://github.com/garrytan/gstack",
"description": "Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA",
"language": "TypeScript",
"total_stars": 117718,
"forks": 17504,
"stars_this_period": 5427,
"source_slice": "typescript",
"source_slices": [
"typescript"
],
"metadata": {
"topics": [],
"license": "MIT",
"open_issues": 748,
"created_at": "2026-03-11T21:22:45Z",
"pushed_at": "2026-06-25T16:42:45Z",
"homepage": "",
"default_branch": "main",
"forks": 17504,
"watchers": 722,
"archived": false,
"size_kb": 111499
},
"readme_content": "# gstack\n\n> \"I don't think I've typed like a line of code probably since December, basically, which is an extremely large change.\" — [Andrej Karpathy](https://fortune.com/2026/03/21/andrej-karpathy-openai-cofounder-ai-agents-coding-state-of-psychosis-openclaw/), No Priors podcast, March 2026\n\nWhen I heard Karpathy say this, I wanted to find out how. How does one person ship like a team of twenty? Peter Steinberger built [OpenClaw](https://github.com/openclaw/openclaw) — 247K GitHub stars — essentially solo with AI agents. The revolution is here. A single builder with the right tooling can move faster than a traditional team.\n\nI'm [Garry Tan](https://x.com/garrytan), President & CEO of [Y Combinator](https://www.ycombinator.com/). I've worked with thousands of startups — Coinbase, Instacart, Rippling — when they were one or two people in a garage. Before YC, I was one of the first eng/PM/designers at Palantir, cofounded Posterous (sold to Twitter), and built Bookface, YC's internal social network.\n\n**gstack is my answer.** I've been building products for twenty years, and right now I'm shipping more products than I ever have. In the last 60 days: 3 production services, 40+ shipped features, part-time, while running YC full-time. On logical code change — not raw LOC, which AI inflates — my 2026 run rate is **~810× my 2013 pace** (11,417 vs 14 logical lines/day). Year-to-date (through April 18), 2026 has already produced **240× the entire 2013 year**. Measured across 40 public + private `garrytan/*` repos including Bookface, after excluding one demo repo. AI wrote most of it. The point isn't who typed it, it's what shipped.\n\n> The LOC critics aren't wrong that raw line counts inflate with AI. They are wrong that normalized-for-inflation, I'm less productive. I'm more productive, by a lot. Full methodology, caveats, and reproduction script: **[On the LOC Controversy](docs/ON_THE_LOC_CONTROVERSY.md)**.\n\n**2026 — 1,237 contributions and counting:**\n\n\n\n**2013 — when I built Bookface at YC (772 contributions):**\n\n\n\nSame person. Different era. The difference is the tooling.\n\n**gstack is how I do it.** It turns Claude Code into a virtual engineering team — a CEO who rethinks the product, an eng manager who locks architecture, a designer who catches AI slop, a reviewer who finds production bugs, a QA lead who opens a real browser, a security officer who runs OWASP + STRIDE audits, and a release engineer who ships the PR. Twenty-three specialists and eight power tools, all slash commands, all Markdown, all free, MIT license.\n\nThis is my open source software factory. I use it every day. I'm sharing it because these tools should be available to everyone.\n\nFork it. Improve it. Make it yours. And if you want to hate on free open source software — you're welcome to, but I'd rather you just try it first.\n\n**Who this is for:**\n- **Founders and CEOs** — especially technical ones who still want to ship\n- **First-time Claude Code users** — structured roles instead of a blank prompt\n- **Tech leads and staff engineers** — rigorous review, QA, and release automation on every PR\n\n## Quick start\n\n1. Install gstack (30 seconds — see below)\n2. Run `/office-hours` — describe what you're building\n3. Run `/plan-ceo-review` on any feature idea\n4. Run `/review` on any branch with changes\n5. Run `/qa` on your staging URL\n6. Stop there. You'll know if this is for you.\n\n## Install — 30 seconds\n\n**Requirements:** [Claude Code](https://docs.anthropic.com/en/docs/claude-code), [Git](https://git-scm.com/), [Bun](https://bun.sh/) v1.0+, [Node.js](https://nodejs.org/) (Windows only)\n\n### Step 1: Install on your machine\n\nOpen Claude Code and paste this. Claude does the rest.\n\n> Install gstack: run **`git clone --single-branch --depth 1 https://github.com/garrytan/gstack.git ~/.claude/skills/gstack && cd ~/.claude/skills/gstack && ./setup`** then add a \"gstack\" section to CLAUDE.md that says to use the /browse skill from gstack for all web browsing, never use mcp\\_\\_claude-in-chrome\\_\\_\\* tools, and lists the available skills: /office-hours, /plan-ceo-review, /plan-eng-review, /plan-design-review, /design-consultation, /design-shotgun, /design-html, /review, /ship, /land-and-deploy, /canary, /benchmark, /browse, /connect-chrome, /qa, /qa-only, /design-review, /setup-browser-cookies, /setup-deploy, /setup-gbrain, /retro, /investigate, /document-release, /document-generate, /codex, /cso, /autoplan, /plan-devex-review, /devex-review, /careful, /freeze, /guard, /unfreeze, /gstack-upgrade, /learn. Then ask the user if they also want to add gstack to the current project so teammates get it.\n\n### Step 2: Team mode — auto-update for shared repos (recommended)\n\nFrom inside your repo, paste this. Switches you to team mode, bootstraps the repo so teammates get gstack automatically, and commits the change:\n\n```bash\n(cd ~/.claude/skills/gstack && ./setup --team) && ~/.claude/skills/gstack/bin/gstack-team-init required && git add .claude/ CLAUDE.md && git commit -m \"require gstack for AI-assisted work\"\n```\n\nNo vendored files in your repo, no version drift, no manual upgrades. Every Claude Code session starts with a fast auto-update check (throttled to once/hour, network-failure-safe, completely silent).\n\nSwap `required` for `optional` if you'd rather nudge teammates than block them.\n\n### OpenClaw\n\nOpenClaw spawns Claude Code sessions via ACP, so every gstack skill just works\nwhen Claude Code has gstack installed. Paste this to your OpenClaw agent:\n\n> Install gstack: run `git clone --single-branch --depth 1 https://github.com/garrytan/gstack.git ~/.claude/skills/gstack && cd ~/.claude/skills/gstack && ./setup` to install gstack for Claude Code. Then add a \"Coding Tasks\" section to AGENTS.md that says: when spawning Claude Code sessions for coding work, tell the session to use gstack skills. Include these examples — security audit: \"Load gstack. Run /cso\", code review: \"Load gstack. Run /review\", QA test a URL: \"Load gstack. Run /qa https://...\", build a feature end-to-end: \"Load gstack. Run /autoplan, implement the plan, then run /ship\", plan before building: \"Load gstack. Run /office-hours then /autoplan. Save the plan, don't implement.\"\n\n**After setup, just talk to your OpenClaw agent naturally:**\n\n| You say | What happens |\n|---------|-------------|\n| \"Fix the typo in README\" | Simple — Claude Code session, no gstack needed |\n| \"Run a security audit on this repo\" | Spawns Claude Code with `Run /cso` |\n| \"Build me a notifications feature\" | Spawns Claude Code with /autoplan → implement → /ship |\n| \"Help me plan the v2 API redesign\" | Spawns Claude Code with /office-hours → /autoplan, saves plan |\n\nSee [docs/OPENCLAW.md](docs/OPENCLAW.md) for advanced dispatch routing and\nthe gstack-lite/gstack-full prompt templates.\n\n### Native OpenClaw Skills (via ClawHub)\n\nFour methodology skills that work directly in your OpenClaw agent, no Claude Code\nsession needed. Install from ClawHub:\n\n```\nclawhub install gstack-openclaw-office-hours gstack-openclaw-ceo-review gstack-openclaw-investigate gstack-openclaw-retro\n```\n\n| Skill | What it does |\n|-------|-------------|\n| `gstack-openclaw-office-hours` | Product interrogation with 6 forcing questions |\n| `gstack-openclaw-ceo-review` | Strategic challenge with 4 scope modes |\n| `gstack-openclaw-investigate` | Root cause debugging methodology |\n| `gstack-openclaw-retro` | Weekly engineering retrospective |\n\nThese are conversational skills. Your OpenClaw agent runs them directly via chat.\n\n### Other AI Agents\n\ngstack works on 10 AI coding agents, not just Claude. Setup auto-detects which\nagents you have installed:\n\n```bash\ngit clone --single-branch --depth 1 https://github.com/garrytan/gstack.git ~/gstack\ncd ~/gstack && ./setup\n```\n\nOr target a specific agent with `./setup --host `:\n\n| Agent | Flag | Skills install to |\n|-------|------|-------------------|\n| OpenAI Codex CLI | `--host codex` | `~/.codex/skills/gstack-*/` |\n| OpenCode | `--host opencode` | `~/.config/opencode/skills/gstack-*/` |\n| Cursor | `--host cursor` | `~/.cursor/skills/gstack-*/` |\n| Factory Droid | `--host factory` | `~/.factory/skills/gstack-*/` |\n| Slate | `--host slate` | `~/.slate/skills/gstack-*/` |\n| Kiro | `--host kiro` | `~/.kiro/skills/gstack-*/` |\n| Hermes | `--host hermes` | `~/.hermes/skills/gstack-*/` |\n| GBrain (mod) | `--host gbrain` | `~/.gbrain/skills/gstack-*/` |\n\n**Want to add support for another agent?** See [docs/ADDING_A_HOST.md](docs/ADDING_A_HOST.md).\nIt's one TypeScript config file, zero code changes.\n\n## See it work\n\n```\nYou: I want to build a daily briefing app for my calendar.\nYou: /office-hours\nClaude: [asks about the pain — specific examples, not hypotheticals]\n\nYou: Multiple Google calendars, events with stale info, wrong locations.\n Prep takes forever and the results aren't good enough...\n\nClaude: I'm going to push back on the framing. You said \"daily briefing\n app.\" But what you actually described is a personal chief of\n staff AI.\n [extracts 5 capabilities you didn't realize you were describing]\n [challenges 4 premises — you agree, disagree, or adjust]\n [generates 3 implementation approaches with effort estimates]\n RECOMMENDATION: Ship the narrowest wedge tomorrow, learn from\n real usage. The full vision is a 3-month project — start with\n the daily briefing that actually works.\n [writes design doc → feeds into downstream skills automatically]\n\nYou: /plan-ceo-review\n [reads the design doc, challenges scope, runs 10-section review]\n\nYou: /plan-eng-review\n [ASCII diagrams for data flow, state machines, error paths]\n [test matrix, failure modes, security concerns]\n\nYou: Approve plan. Exit plan mode.\n [writes 2,400 lines across 11 files. ~8 minutes.]\n\nYou: /review\n [AUTO-FIXED] 2 issues. [ASK] Race condition → you approve fix.\n\nYou: /qa https://staging.myapp.com\n [opens real browser, clicks through flows, finds and fixes a bug]\n\nYou: /ship\n Tests: 42 → 51 (+9 new). PR: github.com/you/app/pull/42\n```\n\nYou said \"daily briefing app.\" The agent said \"you're building a chief of staff AI\" — because it listened to your pain, not your feature request. Eight commands, end to end. That is not a copilot. That is a team.\n\n## The sprint\n\ngstack is a process, not a collection of tools. The skills run in the order a sprint runs:\n\n**Think → Plan → Build → Review → Test → Ship → Reflect**\n\nEach skill feeds into the next. `/office-hours` writes a design doc that `/plan-ceo-review` reads. `/plan-eng-review` writes a test plan that `/qa` picks up. `/review` catches bugs that `/ship` verifies are fixed. Nothing falls through the cracks because every step knows what came before it.\n\n| Skill | Your specialist | What they do |\n|-------|----------------|--------------|\n| `/office-hours` | **YC Office Hours** | Start here. Six forcing questions that reframe your product before you write code. Pushes back on your framing, challenges premises, generates implementation alternatives. Design doc feeds into every downstream skill. |\n| `/plan-ceo-review` | **CEO / Founder** | Rethink the problem. Find the 10-star product hiding inside the request. Four modes: Expansion, Selective Expansion, Hold Scope, Reduction. |\n| `/plan-eng-review` | **Eng Manager** | Lock in architecture, data flow, diagrams, edge cases, and tests. Forces hidden assumptions into the open. |\n| `/plan-design-review` | **Senior Designer** | Rates each design dimension 0-10, explains what a 10 looks like, then edits the plan to get there. AI Slop detection. Interactive — one AskUserQuestion per design choice. |\n| `/plan-devex-review` | **Developer Experience Lead** | Interactive DX review: explores deve",
"manifest_file": "package.json",
"manifest_content": "{\n \"name\": \"gstack\",\n \"version\": \"1.58.5.0\",\n \"description\": \"Garry's Stack — Claude Code skills + fast headless browser. One repo, one install, entire AI engineering workflow.\",\n \"license\": \"MIT\",\n \"type\": \"module\",\n \"bin\": {\n \"browse\": \"./browse/dist/browse\",\n \"make-pdf\": \"./make-pdf/dist/pdf\"\n },\n \"scripts\": {\n \"build\": \"bash scripts/build.sh\",\n \"vendor:xterm\": \"mkdir -p extension/lib && cp node_modules/xterm/lib/xterm.js extension/lib/xterm.js && cp node_modules/xterm/css/xterm.css extension/lib/xterm.css && cp node_modules/xterm-addon-fit/lib/xterm-addon-fit.js extension/lib/xterm-addon-fit.js\",\n \"dev:make-pdf\": \"bun run make-pdf/src/cli.ts\",\n \"dev:design\": \"bun run design/src/cli.ts\",\n \"build:diagram-render\": \"cd lib/diagram-render && bun install && bun run scripts/build.ts\",\n \"gen:skill-docs\": \"bun run scripts/gen-skill-docs.ts\",\n \"gen:skill-docs:user\": \"bun run scripts/gen-skill-docs.ts --respect-detection\",\n \"dev\": \"bun run browse/src/cli.ts\",\n \"server\": \"bun run browse/src/server.ts\",\n \"test\": \"bun test browse/test/ test/ make-pdf/test/ --ignore 'test/skill-e2e-*.test.ts' --ignore test/skill-llm-eval.test.ts --ignore test/skill-routing-e2e.test.ts --ignore test/codex-e2e.test.ts --ignore test/gemini-e2e.test.ts && (bun run slop:diff 2>/dev/null || true)\",\n \"test:free\": \"bun run scripts/test-free-shards.ts\",\n \"test:windows\": \"bun run scripts/test-free-shards.ts --windows-only\",\n \"test:evals\": \"EVALS=1 bun test --retry 2 --concurrent --max-concurrency ${EVALS_CONCURRENCY:-15} test/skill-llm-eval.test.ts test/skill-e2e-*.test.ts test/skill-routing-e2e.test.ts test/codex-e2e.test.ts test/gemini-e2e.test.ts\",\n \"test:evals:all\": \"EVALS=1 EVALS_ALL=1 bun test --retry 2 --concurrent --max-concurrency ${EVALS_CONCURRENCY:-15} test/skill-llm-eval.test.ts test/skill-e2e-*.test.ts test/skill-routing-e2e.test.ts test/codex-e2e.test.ts test/gemini-e2e.test.ts\",\n \"test:e2e\": \"EVALS=1 bun test --retry 2 --concurrent --max-concurrency ${EVALS_CONCURRENCY:-15} test/skill-e2e-*.test.ts test/skill-routing-e2e.test.ts test/codex-e2e.test.ts test/gemini-e2e.test.ts\",\n \"test:e2e:all\": \"EVALS=1 EVALS_ALL=1 bun test --retry 2 --concurrent --max-concurrency ${EVALS_CONCURRENCY:-15} test/skill-e2e-*.test.ts test/skill-routing-e2e.test.ts test/codex-e2e.test.ts test/gemini-e2e.test.ts\",\n \"test:gate\": \"EVALS=1 EVALS_TIER=gate bun test --retry 2 --concurrent --max-concurrency ${EVALS_CONCURRENCY:-15} test/skill-llm-eval.test.ts test/skill-e2e-*.test.ts test/skill-routing-e2e.test.ts test/codex-e2e.test.ts test/gemini-e2e.test.ts\",\n \"test:periodic\": \"EVALS=1 EVALS_TIER=periodic EVALS_ALL=1 bun test --retry 2 --concurrent --max-concurrency ${EVALS_CONCURRENCY:-15} test/skill-e2e-*.test.ts test/skill-routing-e2e.test.ts test/codex-e2e.test.ts test/gemini-e2e.test.ts\",\n \"test:codex\": \"EVALS=1 bun test test/codex-e2e.test.ts\",\n \"test:codex:all\": \"EVALS=1 EVALS_ALL=1 bun test test/codex-e2e.test.ts\",\n \"test:gemini\": \"EVALS=1 bun test test/gemini-e2e.test.ts\",\n \"test:gemini:all\": \"EVALS=1 EVALS_ALL=1 bun test test/gemini-e2e.test.ts\",\n \"skill:check\": \"bun run scripts/skill-check.ts\",\n \"dev:skill\": \"bun run scripts/dev-skill.ts\",\n \"start\": \"bun run browse/src/server.ts\",\n \"eval:bg\": \"bin/gstack-detach --label evals --lock gstack-evals --timeout 5400 -- bun run test:evals\",\n \"eval:bg:all\": \"bin/gstack-detach --label evals-all --lock gstack-evals --timeout 7200 -- bun run test:evals:all\",\n \"eval:bg:gate\": \"bin/gstack-detach --label evals-gate --lock gstack-evals --timeout 3600 -- bun run test:gate\",\n \"eval:bg:periodic\": \"bin/gstack-detach --label evals-periodic --lock gstack-evals --timeout 5400 -- bun run test:periodic\",\n \"eval:list\": \"bun run scripts/eval-list.ts\",\n \"eval:compare\": \"bun run scripts/eval-compare.ts\",\n \"eval:summary\": \"bun run scripts/eval-summary.ts\",\n \"eval:watch\": \"bun run scripts/eval-watch.ts\",\n \"eval:select\": \"bun run scripts/eval-select.ts\",\n \"analytics\": \"bun run scripts/analytics.ts\",\n \"test:audit\": \"bun test test/audit-compliance.test.ts\",\n \"slop\": \"npx slop-scan scan . 2>/dev/null || echo 'slop-scan not available (install with: npm i -g slop-scan)'\",\n \"slop:diff\": \"bun run scripts/slop-diff.ts\"\n },\n \"dependencies\": {\n \"@huggingface/transformers\": \"^4.1.0\",\n \"@ngrok/ngrok\": \"^1.7.0\",\n \"diff\": \"^7.0.0\",\n \"html-to-docx\": \"1.8.0\",\n \"marked\": \"^18.0.2\",\n \"playwright\": \"^1.58.2\",\n \"puppeteer-core\": \"^24.40.0\",\n \"socks\": \"^2.8.8\"\n },\n \"engines\": {\n \"bun\": \">=1.0.0\"\n },\n \"keywords\": [\n \"browser\",\n \"automation\",\n \"playwright\",\n \"headless\",\n \"cli\",\n \"claude\",\n \"ai-agent\",\n \"devtools\"\n ],\n \"devDependencies\": {\n \"@anthropic-ai/claude-agent-sdk\": \"0.2.117\",\n \"@anthropic-ai/sdk\": \"^0.78.0\",\n \"xterm\": \"5\",\n \"xterm-addon-fit\": \"^0.8.0\"\n }\n}\n",
"strategic_keywords": [
"agent",
"agents",
"rag",
"skill",
"workflow",
"automation"
],
"relationship_label": "Memory 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"package.json"
],
"score_breakdown": {
"heat": 20,
"relevance": 20,
"novelty": 8,
"productize": 11,
"adoption": 10,
"relation": 10,
"risk_signal": 8,
"total": 87
},
"strategic_score": 87
},
{
"owner": "mukul975",
"name": "Anthropic-Cybersecurity-Skills",
"full_name": "mukul975/Anthropic-Cybersecurity-Skills",
"url": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"description": "817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0",
"language": "Python",
"total_stars": 22622,
"forks": 2578,
"stars_this_period": 5121,
"source_slice": "all",
"source_slices": [
"all",
"python"
],
"metadata": {
"topics": [
"ai-agents",
"claude-code",
"cloud-security",
"cybersecurity",
"devsecops",
"ethical-hacking",
"incident-response",
"infosec",
"llm",
"malware-analysis",
"mcp",
"mitre-attack",
"nist-csf",
"osint",
"penetration-testing",
"red-team",
"security",
"security-automation",
"threat-hunting",
"threat-intelligence"
],
"license": "Apache-2.0",
"open_issues": 29,
"created_at": "2026-02-25T09:47:50Z",
"pushed_at": "2026-06-26T14:37:50Z",
"homepage": "https://mahipal.engineer/Anthropic-Cybersecurity-Skills/",
"default_branch": "main",
"forks": 2578,
"watchers": 153,
"archived": false,
"size_kb": 10038
},
"readme_content": "
\n \n
\n\n
\n\n# Anthropic Cybersecurity Skills\n\n### The largest open-source cybersecurity skills library for AI agents\n\n[](https://mahipal.engineer/survey?utm_source=github_badge&utm_medium=readme&utm_campaign=gars2026)\n[](LICENSE)\n[](#whats-inside--29-security-domains)\n[](#six-frameworks-one-skill-library)\n[](https://ctid.mitre.org/fraud/)\n[](#whats-inside--29-security-domains)\n[](#compatible-platforms)\n[](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/stargazers)\n[](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/network/members)\n[](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/commits/main)\n[](https://agentskills.io)\n[](CONTRIBUTING.md)\n[](https://casky.ai/?utm_source=github&utm_medium=readme&utm_campaign=cohort_launch#waitlist)\n[](https://github.com/NousResearch/hermes-agent)\n\n\n**817 production-grade cybersecurity skills · 29 security domains · 6 framework mappings · 26+ AI platforms**\n\n[Get Started](#quick-start) · [What's Inside](#whats-inside--29-security-domains) · [Frameworks](#five-frameworks-one-skill-library) · [Platforms](#compatible-platforms) · [Contributing](#contributing)\n\n
\n\n---\n\n> ⚠️ **Community Project** — This is an independent, community-created project. Not affiliated with Anthropic PBC.\n>\n> 🔐 **Authorized & lawful use only.** This library includes offensive and dual-use techniques (e.g. red-team C2, phishing simulation, exploitation) intended for **authorized penetration testing, security research, defense, and education**. Only use them against systems you own or have **explicit written permission** to test, and comply with all applicable laws and rules of engagement. You are solely responsible for how you use these skills. See [SECURITY.md](SECURITY.md) and [CODE_OF_CONDUCT.md](CODE_OF_CONDUCT.md).\n\n## Give any AI agent the security skills of a senior analyst\n\nA junior analyst knows which Volatility3 plugin to run on a suspicious memory dump, which Sigma rules catch Kerberoasting, and how to scope a cloud breach across three providers. **Your AI agent doesn't — unless you give it these skills.**\n\nThis repo contains **817 structured cybersecurity skills** spanning **29 security domains**, each following the [agentskills.io](https://agentskills.io) open standard. Every skill is mapped to **six industry frameworks** — MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, NIST AI RMF, and the MITRE Fight Fraud Framework (F3) — making this the only open-source skills library with unified cross-framework coverage. Clone it, point your agent at it, and your next security investigation gets expert-level guidance in seconds.\n\n## Six frameworks, one skill library\n\nNo other open-source skills library maps every skill to all of these frameworks. One skill, six compliance checkboxes. \n\n| Framework | Version | Scope in this repo | What it maps |\n|---|---|---|---|\n| [MITRE ATT&CK](https://attack.mitre.org) | v19.1 | 15 tactics · 286 techniques | Adversary behaviors and TTPs |\n| [NIST CSF 2.0](https://www.nist.gov/cyberframework) | 2.0 | 6 functions · 22 categories | Organizational security posture |\n| [MITRE ATLAS](https://atlas.mitre.org) | v5.4 | 16 tactics · 84 techniques | AI/ML adversarial threats |\n| [MITRE D3FEND](https://d3fend.mitre.org) | v1.3 | 7 categories · 267 techniques | Defensive countermeasures |\n| [NIST AI RMF](https://airc.nist.gov/AI_RMF) | 1.0 | 4 functions · 72 subcategories | AI risk management |\n| [MITRE F3 (Fight Fraud Framework)](https://ctid.mitre.org/fraud/) | v1.1 (2026-04-09) | 8 tactics · 123 techniques · 94 fraud-relevant skills | Cyber-enabled financial fraud TTPs |\n\n**Example — a single skill maps across all six:**\n\n| Skill | ATT&CK | NIST CSF | ATLAS | D3FEND | AI RMF | F3 |\n|---|---|---|---|---|---|---|\n| `analyzing-network-traffic-of-malware` | T1071 | DE.CM | AML.T0047 | D3-NTA | MEASURE-2.6 | — |\n| `detecting-business-email-compromise` | T1566 | DE.AE | — | — | — | F1005.006 · monetization |\n\n### 🆕 MITRE Fight Fraud Framework (F3) — 94 fraud-relevant skills\n\n[](https://ctid.mitre.org/fraud/)\n\nThe **[MITRE Fight Fraud Framework (F3)](https://ctid.mitre.org/fraud/)** was released **April 9, 2026** by MITRE's Center for Threat-Informed Defense (CTID), co-developed with JPMorganChase, Citigroup, Lloyds Banking Group, Standard Chartered, CrowdStrike, Verizon Business, FS-ISAC, and others. It is an ATT&CK-compatible TTP catalog for **cyber-enabled financial fraud** — filling the gap ATT&CK leaves after initial compromise.\n\nF3 v1.1 adds **two fraud-specific tactics** that ATT&CK does not enumerate:\n- **Positioning** (`FA0001`) — actions taken after access to collect/manipulate data and prepare the fraud (synthetic-identity seeding, account warming, beneficiary setup, SIM-swap pre-positioning, banking-session hijack).\n- **Monetization** (`FA0002`) — converting stolen assets into usable funds (money-mule layering, APP fraud, crypto off-ramping, card cash-out, refund/chargeback abuse).\n\nFraud-specific techniques use `F1XXX` IDs (e.g. `F1005.003` Add Beneficiary, `F1025.003` Wire Transfer, `F1007` Adversary-in-the-Browser); reused ATT&CK techniques keep their `T1XXX` IDs. Mappings live in each skill's `mitre_f3:` frontmatter block — all 123 F3 v1.1 technique IDs were verified against the upstream STIX bundle. See [`docs/mitre-f3-mapping.md`](docs/mitre-f3-mapping.md) for the schema.\n\n### MITRE ATT&CK v19.1 — 754/754 skills mapped\n\nEvery skill carries a `mitre_attack` frontmatter list validated against **MITRE ATT&CK v19.1** (the latest release) using the official `mitreattack-python` library — 286 distinct techniques across all 15 Enterprise tactics, plus ICS and Mobile techniques where relevant. Zero revoked or deprecated IDs. v19.1's restructured Defense Evasion (now split into **Stealth** and **Defense Impairment**) is reflected below.\n\n| Tactic | ID | Skills |\n|--------|----|--------|\n| Reconnaissance | TA0043 | 103 |\n| Resource Development | TA0042 | 22 |\n| Initial Access | TA0001 | 467 |\n| Execution | TA0002 | 350 |\n| Persistence | TA0003 | 444 |\n| Privilege Escalation | TA0004 | 464 |\n| Stealth | TA0005 | 442 |\n| Defense Impairment | TA0112 | 92 |\n| Credential Access | TA0006 | 202 |\n| Discovery | TA0007 | 237 |\n| Lateral Movement | TA0008 | 68 |\n| Collection | TA0009 | 172 |\n| Command and Control | TA0011 | 123 |\n| Exfiltration | TA0010 | 82 |\n| Impact | TA0040 | 50 |\n\n## Quick start\n\n```bash\n# Option 1: npx (recommended)\nnpx skills add mukul975/Anthropic-Cybersecurity-Skills\n\n# Option 2: Git clone\ngit clone https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git\ncd Anthropic-Cybersecurity-Skills\n```\n\nWorks immediately with Claude Code, GitHub Copilot, OpenAI Codex CLI, Cursor, Gemini CLI, and any [agentskills.io](https://agentskills.io)-compatible platform. \n\n## 🌍 GARS-2026 — Global Agentic AI Readiness Survey\n\nI'm running a global academic study measuring how ready security professionals,\ndevelopers, and enterprise teams actually are for agentic AI — MCP servers,\ntool calling, governance, and human-in-the-loop workflows.\n\n**If you use this repo, your response would be a genuinely valuable data point.**\n\n📋 **Take the survey (10 min):**\n[Survey Link](https://mahipal.engineer/survey?utm_source=github_repo&utm_medium=readme&utm_campaign=gars2026)\n\n- 60 questions · Anonymous · Supervised by SRH Berlin\n- You get **50 Casky Tokens** for early access to [casky.ai](https://casky.ai)\n- Results published open access under CC-BY 4.0\n\n## 🚀 Try it on the Playground\n\nExperience Casky.ai hands-on — no setup required.\n\n**[→ Launch Playground on Casky.ai](https://casky.ai/?utm_source=github&utm_medium=readme&utm_campaign=cohort_launch#waitlist)**\n\nThe playground lets you:\n- Run live cybersecurity skill exercises against real targets\n- See AI agents execute structured skills in real time\n- Explore MITRE ATT&CK mapped workflows interactively\n- Test threat hunting, DFIR, and penetration testing scenarios\n\nNo installation. No configuration. Just open and start.\n## Why this exists\n\nThe cybersecurity workforce gap hit **4.8 million unfilled roles** globally in 2024 (ISC2). AI agents can help close that gap — but only if they have structured domain knowledge to work from. Today's agents can write code and search the web, but they lack the practitioner playbooks that turn a generic LLM into a capable security analyst.\n\nExisting security tool repos give you wordlists, payloads, or exploit code. None of them give an AI agent the structured decision-making workflow a senior analyst follows: when to use each technique, what prerequisites to check, how to execute step-by-step, and how to verify results. That is the gap this project fills.\n\n**Anthropic Cybersecurity Skills** is not a collection of scripts or checklists. It is an **AI-native knowledge base** built from the ground up for the agentskills.io standard — YAML frontmatter for sub-second discovery, structured Markdown for step-by-step execution, and reference files for deep technical context. Every skill encodes real practitioner workflows, not generated summaries. \n\n## What's inside — 29 security domains\n\n| Domain | Skills | Key capabilities |\n|---|---|---|\n| Cloud Security | 66 | AWS, Azure, GCP hardening · CSPM · cloud attack emulation · cloud forensics |\n| Threat Hunting | 58 | Hypothesis-driven hunts · LOTL detection · EVTX hunting · fleet hunting |\n| Threat Intelligence | 52 | STIX/TAXII · MISP · OpenCTI · feed integration · actor profiling |\n| Network Security | 43 | IDS/IPS · firewall rules · VLAN segmentation · traffic analysis |\n| Web Application Security | 42 | OWASP Top 10 · SQLi · XSS · SSRF · deserialization |\n| Digital Forensics | 41 | Disk imaging · memory forensics · Hayabusa/KAPE/Plaso timelines |\n| Malware Analysis | 39 | Static/dynamic analysis · reverse engineering · sandboxing |\n| Identity & Access Management | 37 | Entra ID/ROADtools · device-code phishing · PAM · zero trust identity |\n| SOC Operations | 35 | Playbooks · escalation workflows · Graph-log detection · tabletop exercises |\n| Red Teaming | 33 | ADCS/Certipy · BloodHound CE · Sliver/Havoc C2 · NTLM relay |\n| Container Security | 33 | K8s RBAC · image scanning · Falco · container escape |\n| Security Operations | 28 | SIEM correlation · log analysis · alert triage |\n| OT/ICS Security | 28 | Modbus · DNP3 · IEC 62443 · historian defense · SCADA |\n| API Security | 28 | GraphQL · REST · OWASP API Top 10 · WAF bypass |\n| Incident Response | 26 | Breach containment · ransomware response · IR pl",
"strategic_keywords": [
"agent",
"agents",
"memory",
"mcp",
"rag",
"skill",
"llm",
"automation"
],
"relationship_label": "Memory 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme"
],
"score_breakdown": {
"heat": 20,
"relevance": 20,
"novelty": 15,
"productize": 14,
"adoption": 8,
"relation": 10,
"risk_signal": 6,
"total": 93
},
"strategic_score": 93
},
{
"owner": "JCodesMore",
"name": "ai-website-cloner-template",
"full_name": "JCodesMore/ai-website-cloner-template",
"url": "https://github.com/JCodesMore/ai-website-cloner-template",
"description": "Clone any website with one command using AI coding agents",
"language": "TypeScript",
"total_stars": 22772,
"forks": 3252,
"stars_this_period": 4565,
"source_slice": "all",
"source_slices": [
"all",
"typescript"
],
"metadata": {
"topics": [
"ai",
"ai-agents",
"ai-tools",
"automation",
"boilerplate",
"claude",
"claude-code",
"clone",
"developer-tools",
"nextjs",
"react",
"reverse-engineering",
"shadcn-ui",
"skills",
"tailwindcss",
"template",
"typescript",
"web-scraping",
"website-clone"
],
"license": "MIT",
"open_issues": 19,
"created_at": "2026-03-13T11:14:39Z",
"pushed_at": "2026-06-01T04:09:21Z",
"homepage": "https://dsc.gg/jcodesmore",
"default_branch": "master",
"forks": 3252,
"watchers": 105,
"archived": false,
"size_kb": 940
},
"readme_content": "# AI Website Cloner Template\n\n\n\nA reusable template for reverse-engineering any website into a clean, modern Next.js codebase using AI coding agents. \n\n**Recommended: [Claude Code](https://docs.anthropic.com/en/docs/claude-code) with Opus 4.7 for best results** — but works with a variety of AI coding agents.\n\nPoint it at a URL, run `/clone-website`, and your AI agent will inspect the site, extract design tokens and assets, write component specs, and dispatch parallel builders to reconstruct every section.\n\n## Demo\n\n[](https://youtu.be/O669pVZ_qr0)\n\n> Click the image above to watch the full demo on YouTube.\n\n## Quick Start\n\n> **Important:** Start by making your own copy with GitHub's **Use this template** button. Do not clone this template repository directly for your website project, and do not open pull requests here with your generated website.\n\n1. **Create your own repository from this template**\n\n On the GitHub page for this project, click **Use this template**, then click **Create a new repository**.\n\n Give your new repository a name, choose whether it should be public or private, then click **Create repository**. If GitHub shows an **Include all branches** option, you can leave it off.\n\n This gives you your own separate project to work in, so your website changes stay in your account instead of coming back to the main template.\n\n2. **Open your new repository on your computer**\n\n After GitHub creates your copy, open that new repository. Click **Code** and open or clone your new repository with your preferred coding tool.\n\n If you use the terminal, the command will look like this:\n\n ```bash\n git clone https://github.com/YOUR-USERNAME/YOUR-NEW-REPOSITORY.git\n cd YOUR-NEW-REPOSITORY\n ```\n\n3. **Install dependencies**\n ```bash\n npm install\n ```\n4. **Start your AI agent** — Claude Code recommended:\n ```bash\n claude --chrome\n ```\n5. **Run the skill**:\n ```\n /clone-website [ ...]\n ```\n6. **Customize** (optional) — after the base clone is built, modify as needed\n\n> Using a different agent? Open `AGENTS.md` for project instructions — most agents pick it up automatically.\n\n## Supported Platforms\n\n| Agent | Status |\n| ------------------------------------------------------------- | -------------------------- |\n| [Claude Code](https://docs.anthropic.com/en/docs/claude-code) | **Recommended** — Opus 4.7 |\n| [Codex CLI](https://github.com/openai/codex) | Supported |\n| [OpenCode](https://opencode.ai/) | Supported |\n| [GitHub Copilot](https://github.com/features/copilot) | Supported |\n| [Cursor](https://cursor.com/) | Supported |\n| [Windsurf](https://codeium.com/windsurf) | Supported |\n| [Gemini CLI](https://github.com/google-gemini/gemini-cli) | Supported |\n| [Cline](https://github.com/cline/cline) | Supported |\n| [Roo Code](https://github.com/RooCodeInc/Roo-Code) | Supported |\n| [Continue](https://continue.dev/) | Supported |\n| [Amazon Q](https://aws.amazon.com/q/developer/) | Supported |\n| [Augment Code](https://www.augmentcode.com/) | Supported |\n| [Aider](https://aider.chat/) | Supported |\n\n## Prerequisites\n\n- [Node.js](https://nodejs.org/) 24+\n- An AI coding agent (see [Supported Platforms](#supported-platforms))\n\n## Tech Stack\n\n- **Next.js 16** — App Router, React 19, TypeScript strict\n- **shadcn/ui** — Radix primitives + Tailwind CSS v4\n- **Tailwind CSS v4** — oklch design tokens\n- **Lucide React** — default icons (replaced by extracted SVGs during cloning)\n\n## How It Works\n\nThe `/clone-website` skill runs a multi-phase pipeline:\n\n1. **Reconnaissance** — screenshots, design token extraction, interaction sweep (scroll, click, hover, responsive)\n2. **Foundation** — updates fonts, colors, globals, downloads all assets\n3. **Component Specs** — writes detailed spec files (`docs/research/components/`) with exact computed CSS values, states, behaviors, and content\n4. **Parallel Build** — dispatches builder agents in git worktrees, one per section/component\n5. **Assembly & QA** — merges worktrees, wires up the page, runs visual diff against the original\n\nEach builder agent receives the full component specification inline — exact `getComputedStyle()` values, interaction models, multi-state content, responsive breakpoints, and asset paths. No guessing.\n\n## Use Cases\n\n- **Platform migration** — rebuild a site you own from WordPress/Webflow/Squarespace into a modern Next.js codebase\n- **Lost source code** — your site is live but the repo is gone, the developer left, or the stack is legacy. Get the code back in a modern format\n- **Learning** — deconstruct how production sites achieve specific layouts, animations, and responsive behavior by working with real code\n\n## Not Intended For\n\n- **Phishing or impersonation** — this project must not be used for deceptive purposes, impersonation, or any activity that breaks the law.\n- **Passing off someone's design as your own** — logos, brand assets, and original copy belong to their owners.\n- **Violating terms of service** — some sites explicitly prohibit scraping or reproduction. Check first.\n\n## Project Structure\n\n```\nsrc/\n app/ # Next.js routes\n components/ # React components\n ui/ # shadcn/ui primitives\n icons.tsx # Extracted SVG icons\n lib/utils.ts # cn() utility\n types/ # TypeScript interfaces\n hooks/ # Custom React hooks\npublic/\n images/ # Downloaded images from target\n videos/ # Downloaded videos from target\n seo/ # Favicons, OG images\ndocs/\n research/ # Extraction output & component specs\n design-references/ # Screenshots\nscripts/\n sync-agent-rules.sh # Regenerate agent instruction files\n sync-skills.mjs # Regenerate /clone-website for all platforms\nAGENTS.md # Agent instructions (single source of truth)\nCLAUDE.md # Claude Code config (imports AGENTS.md)\nGEMINI.md # Gemini CLI config (imports AGENTS.md)\n```\n\n## Commands\n\n```bash\nnpm run dev # Start dev server\nnpm run build # Production build\nnpm run lint # ESLint check\nnpm run typecheck # TypeScript check\nnpm run check # Run lint + typecheck + build\n```\n\n### If using docker\n\n```bash\ndocker compose up app --build # build and run the app\ndocker compose up dev --build # run the app in dev mode on port 3001\n```\n\n## Updating for Other Platforms\n\nTwo source-of-truth files power all platform support. Edit the source, then run the sync script:\n\n| What | Source of truth | Sync command |\n| ---------------------- | --------------------------------------- | ---------------------------------- |\n| Project instructions | `AGENTS.md` | `bash scripts/sync-agent-rules.sh` |\n| `/clone-website` skill | `.claude/skills/clone-website/SKILL.md` | `node scripts/sync-skills.mjs` |\n\nEach script regenerates the platform-specific copies automatically. Agents that read the source files natively need no regeneration.\n\n\n## Star History\n\n[](https://star-history.com/#JCodesMore/ai-website-cloner-template&Date)\n\n## License\n\nMIT\n",
"manifest_file": "package.json",
"manifest_content": "{\n \"name\": \"ai-website-clone-template\",\n \"version\": \"0.3.1\",\n \"private\": true,\n \"description\": \"Clone any website into a clean, modern Next.js codebase using AI coding agents\",\n \"author\": \"JCodesMore\",\n \"license\": \"MIT\",\n \"repository\": {\n \"type\": \"git\",\n \"url\": \"https://github.com/JCodesMore/ai-website-cloner-template.git\"\n },\n \"homepage\": \"https://github.com/JCodesMore/ai-website-cloner-template\",\n \"bugs\": {\n \"url\": \"https://github.com/JCodesMore/ai-website-cloner-template/issues\"\n },\n \"keywords\": [\n \"claude-code\",\n \"website-clone\",\n \"reverse-engineering\",\n \"nextjs\",\n \"ai\",\n \"template\",\n \"tailwindcss\",\n \"shadcn-ui\"\n ],\n \"engines\": {\n \"node\": \">=24\"\n },\n \"scripts\": {\n \"dev\": \"next dev\",\n \"build\": \"next build\",\n \"start\": \"next start\",\n \"lint\": \"eslint\",\n \"typecheck\": \"tsc --noEmit\",\n \"check\": \"npm run lint && npm run typecheck && npm run build\"\n },\n \"dependencies\": {\n \"@base-ui/react\": \"^1.3.0\",\n \"class-variance-authority\": \"^0.7.1\",\n \"clsx\": \"^2.1.1\",\n \"lucide-react\": \"^1.6.0\",\n \"next\": \"16.2.1\",\n \"react\": \"19.2.4\",\n \"react-dom\": \"19.2.4\",\n \"shadcn\": \"^4.1.0\",\n \"tailwind-merge\": \"^3.5.0\",\n \"tw-animate-css\": \"^1.4.0\"\n },\n \"devDependencies\": {\n \"@tailwindcss/postcss\": \"^4\",\n \"@types/node\": \"^24\",\n \"@types/react\": \"^19\",\n \"@types/react-dom\": \"^19\",\n \"eslint\": \"^9\",\n \"eslint-config-next\": \"16.2.1\",\n \"tailwindcss\": \"^4\",\n \"typescript\": \"^5\"\n }\n}\n",
"strategic_keywords": [
"agent",
"agents",
"skill",
"automation"
],
"relationship_label": "Skill 来源",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"package.json"
],
"score_breakdown": {
"heat": 20,
"relevance": 20,
"novelty": 8,
"productize": 14,
"adoption": 10,
"relation": 10,
"risk_signal": 6,
"total": 88
},
"strategic_score": 88
},
{
"owner": "jamiepine",
"name": "voicebox",
"full_name": "jamiepine/voicebox",
"url": "https://github.com/jamiepine/voicebox",
"description": "The open-source AI voice studio. Clone, dictate, create.",
"language": "TypeScript",
"total_stars": 35393,
"forks": 4252,
"stars_this_period": 3965,
"source_slice": "all",
"source_slices": [
"all",
"typescript"
],
"metadata": {
"topics": [
"ai",
"cuda",
"mlx",
"qwen3-tts",
"qwen3-tts-ui",
"voice-ai",
"voice-clone",
"whisper"
],
"license": "MIT",
"open_issues": 491,
"created_at": "2026-01-25T12:27:03Z",
"pushed_at": "2026-06-28T00:34:55Z",
"homepage": "https://voicebox.sh",
"default_branch": "main",
"forks": 4252,
"watchers": 182,
"archived": false,
"size_kb": 106636
},
"readme_content": "
\n \n
\n\n
Voicebox
\n\n
\n The open-source AI voice studio. \n Clone any voice. Generate speech. Dictate into any app. Talk to agents in voices you own. \n The full voice I/O stack, running locally on your machine.\n
\n Click the image above to watch the demo video on voicebox.sh\n
\n\n \n\n
\n \n
\n\n
\n \n
\n\n \n\n## What is Voicebox?\n\nVoicebox is a **local-first AI voice studio** — a free and open-source alternative to **ElevenLabs** and **WisprFlow** in one app. Clone voices from a few seconds of audio, generate speech in 23 languages across 7 TTS engines, dictate into any text field with a global hotkey, and give any MCP-aware AI agent a voice of your choosing.\n\nThe two cloud incumbents sit on opposite halves of the voice I/O loop — ElevenLabs on output, WisprFlow on input. Voicebox does both, bridges them with a bundled local LLM for refinement and per-profile personas, and runs the whole thing on your machine.\n\n- **Complete privacy** — models, voice data, and captures never leave your machine\n- **7 TTS engines** — Qwen3-TTS, Qwen CustomVoice, LuxTTS, Chatterbox Multilingual, Chatterbox Turbo, HumeAI TADA, and Kokoro\n- **Voice cloning and preset voices** — zero-shot cloning from a reference sample, or 50+ curated preset voices via Kokoro and Qwen CustomVoice\n- **23 languages** — from English to Arabic, Japanese, Hindi, Swahili, and more\n- **Post-processing effects** — pitch shift, reverb, delay, chorus, compression, and filters\n- **Expressive speech** — paralinguistic tags like `[laugh]`, `[sigh]`, `[gasp]` via Chatterbox Turbo; natural-language delivery control via Qwen CustomVoice\n- **Unlimited length** — auto-chunking with crossfade for scripts, articles, and chapters\n- **Stories editor** — multi-track timeline for conversations, podcasts, and narratives\n- **Voice input** — global dictation hotkey with push-to-talk and toggle modes, accessibility-verified auto-paste on macOS, in-app mic on every text field, Whisper-based STT\n- **Agent voice output** — one tool call (`voicebox.speak`) and any MCP-aware agent (Claude Code, Cursor, Cline) speaks to you in a voice you've cloned\n- **Voice personalities** — attach a free-form persona to any voice profile, then Compose, Rewrite, or Respond via a bundled local LLM — agents can invoke the same modes over MCP\n- **API-first** — REST API plus a built-in MCP server for integrating voice I/O into your own apps and agents\n- **Native performance** — built with Tauri (Rust), not Electron\n- **Runs everywhere** — macOS (MLX/Metal), Windows (CUDA), Linux, AMD ROCm, Intel Arc, Docker\n\n---\n\n## Download\n\n| Platform | Download |\n| --------------------- | ------------------------------------------------------ |\n| macOS (Apple Silicon) | [Download DMG](https://voicebox.sh/download/mac-arm) |\n| macOS (Intel) | [Download DMG](https://voicebox.sh/download/mac-intel) |\n| Windows | [Download MSI](https://voicebox.sh/download/windows) |\n| Docker | `docker compose up` |\n\n> **[View all binaries →](https://github.com/jamiepine/voicebox/releases/latest)**\n\n> **Linux** — Pre-built binaries are not yet available. See [voicebox.sh/linux-install](https://voicebox.sh/linux-install) for build-from-source instructions.\n\n> **Having trouble?** See the [Troubleshooting Guide](docs/content/docs/overview/troubleshooting.mdx) for common install, generation, model-download, and GPU issues.\n\n---\n\n## Features\n\n### Multi-Engine Voice Cloning\n\nSeven TTS engines with different strengths, switchable per-generation:\n\n| Engine | Languages | Strengths |\n| --------------------------- | --------- | ---------------------------------------------------------------------------------------------------------------------------------------- |\n| **Qwen3-TTS** (0.6B / 1.7B) | 10 | High-quality multilingual cloning, delivery instructions (\"speak slowly\", \"whisper\") |\n| **Qwen CustomVoice** | 10 | 9 curated preset voices with natural-language delivery control — no reference audio required |\n| **LuxTTS** | English | Lightweight (~1GB VRAM), 48kHz output, 150x realtime on CPU |\n| **Chatterbox Multilingual** | 23 | Broadest language coverage — Arabic, Danish, Finnish, Greek, Hebrew, Hindi, Malay, Norwegian, Polish, Swahili, Swedish, Turkish and more |\n| **Chatterbox Turbo** | English | Fast 350M model with paralinguistic emotion/sound tags |\n| **TADA** (1B / 3B) | 10 | HumeAI speech-language model — 700s+ coherent audio, text-acoustic dual alignment |\n| **Kokoro** | 8 | 50 curated preset voices, tiny 82M model, fast CPU inference |\n\n### Emotions & Paralinguistic Tags\n\nOnly **Chatterbox Turbo** interprets paralinguistic tags like `[laugh]` and\n`[sigh]`. Qwen3-TTS, LuxTTS, Chatterbox Multilingual, and HumeAI TADA read them\nliterally as text.\n\nWith **Chatterbox Turbo** selected, type `/` in the text input to open the tag\ninserter and add expressive tags inline with speech:\n\n`[laugh]` `[chuckle]` `[gasp]` `[cough]` `[sigh]` `[groan]` `[sniff]` `[shush]` `[clear throat]`\n\n### Post-Processing Effects\n\n8 audio effects powered by Spotify's `pedalboard` library. Apply after generation, preview in real time, build reusable presets.\n\n| Effect | Description |\n| ---------------- | --------------------------------------------- |\n| Pitch Shift | Up or down by up to 12 semitones |\n| Reverb | Configurable room size, damping, wet/dry mix |\n| Delay | Echo with adjustable time, feedback, and mix |\n| Chorus / Flanger | Modulated delay for metallic or lush textures |\n| Compressor | Dynamic range compression |\n| Gain | Volume adjustment (-40 to +40 dB) |\n| High-Pass Filter | Remove low frequencies |\n| Low-Pass Filter | Remove high frequencies |\n\nShips with 4 built-in presets (Robotic, Radio, Echo Chamber, Deep Voice) and supports custom presets. Effects can be assigned per-profile as defaults.\n\n### Unlimited Generation Length\n\nText is automatically split at sentence boundaries and each chunk is generated independently, then crossfaded together. Works with all engines.\n\n- Configurable auto-chunking limit (100–5,000 chars)\n- Crossfade slider (0–200ms) for smooth transitions\n- Max text length: 50,000 characters\n- Smart splitting respects abbreviations, CJK punctuation, and `[tags]`\n\n### Generation Versions\n\nEvery generation supports multiple versions with provenance tracking:\n\n- **Original** — clean TTS output, always preserved\n- **Effects versions** — apply different effects chains from any source version\n- **Takes** — regenerate with a new seed for variation\n- **Source tracking** — each version records its lineage\n- **Favorites** — star generations for quick access\n\n### Async Generation Queue\n\nGeneration is non-blocking. Submit and immediately start typing the next one.\n\n- Serial execution queue prevents GPU contention\n- Real-time SSE status streaming\n- Failed generations can be retried\n- Stale generations from crashes auto-recover on startup\n\n### Voice Profile Management\n\n- Create profiles from audio files or record directly in-app\n- Import/export profiles to share or back up\n- Multi-sample support for higher quality cloning\n- Per-profile default effects chains\n- Organize with descriptions and language tags\n\n### Stories Editor\n\nMulti-voice timeline editor for conversations, podcasts, and narratives.\n\n- Multi-track composition with drag-and-drop\n- Inline audio trimming and splitting\n- Auto-playback with synchronized playhead\n- Version pinning per track clip\n\n### Global Dictation & Voice Input\n\nThe other half of the voice I/O loop. Hold a hotkey anywhere on your system, speak, release — on macOS the transcript pastes straight into the focused text field. Or hit the mic on any Voicebox text input and dictate directly into the app.\n\n- **Configurable chord bindings** — hold-to-speak and tap-to-toggle chords, each rebindable in the in-app chord picker. Holding push-to-talk and tapping `Space` mid-hold upgrades into a toggle session without a gap in audio\n- **Target-aware paste (macOS)** — accessibility-verified injection into the focused text field, with atomic clipboard save/restore so your clipboard isn't clobbered\n- **First-run permissions UX** — in-app gates walk you through the macOS Accessibility and Input Monitoring grants with deep-links to System Settings\n- **In-app mic button** on every Voicebox text field — generation form, profile descriptions, story titles, anywhere you'd type\n- **LLM refinement** — optional cleanup of ums, stutters, and false starts before paste\n- **On-screen pill** — floating overlay surfacing `recording`, `transcribing`, `refining`, and `speaking` states. Same pill agents use when they speak to you, so there's one mental model for both directions of the loop\n\n### Speech-to-Text\n\nVoicebox runs OpenAI Whisper for transcription — the same model that backs dictation, the Captures tab, and the `/transcribe` API. Running on MLX (Apple Silicon) or PyTorch (CUDA / ROCm / DirectML / CPU) depending on your platform.\n\n| Size | Notes ",
"manifest_file": "package.json",
"manifest_content": "{\n \"name\": \"voicebox\",\n \"version\": \"0.5.0\",\n \"private\": true,\n \"workspaces\": [\n \"app\",\n \"tauri\",\n \"web\",\n \"landing\"\n ],\n \"scripts\": {\n \"dev\": \"bun run setup:dev && cd tauri && bun run tauri dev\",\n \"dev:web\": \"cd web && bun run dev\",\n \"dev:landing\": \"cd landing && bun run dev\",\n \"dev:server\": \"uvicorn backend.main:app --reload --port 17493\",\n \"setup:dev\": \"bun run scripts/setup-dev-sidecar.js\",\n \"build\": \"./scripts/build-server.sh && cd tauri && bun run tauri build\",\n \"build:web\": \"cd web && bun run build\",\n \"build:landing\": \"cd landing && bun run build\",\n \"build:release\": \"./scripts/prepare-release.sh\",\n \"generate:api\": \"./scripts/generate-api.sh\",\n \"generate:keys\": \"cd tauri && bun tauri signer generate -w ~/.tauri/voicebox.key\",\n \"build:server\": \"./scripts/build-server.sh\",\n \"update:icons\": \"./scripts/update-icons.sh\",\n \"convert:assets\": \"./scripts/convert-assets.sh\",\n \"lint\": \"biome lint .\",\n \"typecheck\": \"bunx tsc -p app/tsconfig.json --noEmit && cd web && bunx tsc --noEmit\",\n \"lint:fix\": \"biome lint --write .\",\n \"format\": \"biome format --write .\",\n \"format:check\": \"biome format .\",\n \"check\": \"biome check .\",\n \"check:fix\": \"biome check --write .\",\n \"ci\": \"bun run typecheck && bun run build:web\"\n },\n \"devDependencies\": {\n \"@biomejs/biome\": \"2.3.12\",\n \"@types/node\": \"^20.0.0\",\n \"tailwindcss\": \"^4.1.18\",\n \"typescript\": \"^5.6.0\"\n },\n \"engines\": {\n \"bun\": \">=1.0.0\"\n },\n \"packageManager\": \"bun@1.3.8\",\n \"dependencies\": {\n \"loaders.css\": \"^0.1.2\",\n \"react-loaders\": \"^3.0.1\"\n }\n}\n",
"strategic_keywords": [
"agent",
"agents",
"mcp",
"workspace",
"llm"
],
"relationship_label": "Workspace 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"package.json"
],
"score_breakdown": {
"heat": 20,
"relevance": 20,
"novelty": 15,
"productize": 14,
"adoption": 10,
"relation": 10,
"risk_signal": 8,
"total": 97
},
"strategic_score": 97
},
{
"owner": "tw93",
"name": "Pake",
"full_name": "tw93/Pake",
"url": "https://github.com/tw93/Pake",
"description": "🤱🏻 Turn any webpage into a desktop app with one command.",
"language": "Rust",
"total_stars": 58319,
"forks": 11651,
"stars_this_period": 3933,
"source_slice": "rust",
"source_slices": [
"rust"
],
"metadata": {
"topics": [
"chatgpt",
"claude",
"desktop",
"gemini",
"hight-performance",
"linux",
"macos",
"no-electron",
"package",
"rust",
"tauri",
"windows",
"youtube"
],
"license": "GPL-3.0",
"open_issues": 8,
"created_at": "2022-10-14T09:32:57Z",
"pushed_at": "2026-06-28T01:14:08Z",
"homepage": "",
"default_branch": "main",
"forks": 11651,
"watchers": 270,
"archived": false,
"size_kb": 64413
},
"readme_content": "
\n\n## Features\n\n- 🎐 **Lightweight**: Installer is nearly 20 times smaller than Electron packages, typically under 10M on disk\n- 🚀 **Fast**: Built with Rust Tauri, much faster than traditional JS frameworks with lower memory usage\n- ⚡ **Easy to use**: One-command packaging via CLI or online building, no complex configuration needed\n- 📦 **Feature-rich**: Supports shortcuts, immersive windows, drag & drop, style customization, ad removal\n\n## Getting Started\n\n- **Beginners**: Download ready-made [Popular Packages](#popular-packages) or use [Online Building](docs/github-actions-usage.md) with no environment setup required\n- **Developers**: Install [CLI Tool](docs/cli-usage.md) for one-command packaging of any website with customizable icons, window settings, and more\n- **Advanced Users**: Clone the project locally for [Custom Development](#development), or check [Advanced Usage](docs/advanced-usage.md) for style customization and feature enhancement\n- **Troubleshooting**: Check [FAQ](docs/faq.md) for common issues and solutions\n\n## Popular Packages\n\n
\n\n\n🏂 You can download more applications from Releases. Click here to expand the shortcuts reference!\n\n \n\n| Mac | Windows/Linux | Function |\n| --------------------------------------------------------- | --------------------------------------------------- | ----------------------------------- |\n| ⌘ + [ | Ctrl + ← | Return to the previous page |\n| ⌘ + ] | Ctrl + → | Go to the next page |\n| ⌘ + ↑ | Ctrl + ↑ | Auto scroll to top of page |\n| ⌘ + ↓ | Ctrl + ↓ | Auto scroll to bottom of page |\n| ⌘ + r | Ctrl + r | Refresh Page |\n| ⌘ + w | Ctrl + w | Hide window, not quit |\n| ⌘ + - | Ctrl + - | Zoom out the page |\n| ⌘ + = | Ctrl + = | Zoom in the Page |\n| ⌘ + 0 | Ctrl + 0 | Reset the page zoom |\n| ⌘ + L | Ctrl + L | Copy Current Page URL |\n| ⌘ + ⇧ + ⌥ + V | Ctrl + Shift + V | Paste and Match Style |\n| ⌘ + ⇧ + H | Ctrl + Shift + H | Go to Home Page |\n| ⌘ + ⌥ + I | Ctrl + Shift + I | Toggle Developer Tools (Debug Only) |\n| ⌘ + ⇧ + ⌫ | Ctrl + Shift + Del | Clear Cache & Restart |\n\nIn addition, double-click the title bar to switch to full-screen mode. For Mac users, you can also use the gesture to go to the previous or next page and drag the title bar to move the window. The new menu also offers options for navigation, zoom, and window controls.\n\n\n\n## Command-Line Packaging\n\n\n\n```bash\n# Install Pake CLI\npnpm install -g pake-cli\n\n# Basic usage - automatically fetches website icon\npake https://github.com --name GitHub\n\n# Advanced usage with custom options\npake https://weekly.tw93.fun --name Weekly --icon https://cdn.tw93.fun/pake/weekly.icns --width 1200 --height 800 --hide-title-bar\n```\n\nFirst-time packaging requires environment setup and may be slower, subsequent builds are fast. For complete parameter documentation, see [CLI Usage Guide](docs/cli-usage.md). Don't want to use CLI? Try [GitHub Actions Online Building](docs/github-actions-usage.md).\n\n## Development\n\nRequires Rust `>=1.85` and Node `>=22` (recommended LTS; `>=18` also works). For detailed installation guide, see [Tauri documentation](https://v2.tauri.app/start/prerequisites/). If unfamiliar with development environment, use the CLI tool instead.\n\n```bash\n# Install dependencies\npnpm i\n\n# Local development [right-click to open debug mode]\npnpm ru",
"strategic_keywords": [
"memory",
"rag"
],
"relationship_label": "Memory 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme"
],
"score_breakdown": {
"heat": 20,
"relevance": 16,
"novelty": 15,
"productize": 11,
"adoption": 8,
"relation": 8,
"risk_signal": 6,
"total": 84
},
"strategic_score": 84
},
{
"owner": "penpot",
"name": "penpot",
"full_name": "penpot/penpot",
"url": "https://github.com/penpot/penpot",
"description": "Penpot: The open-source design tool for design and code collaboration",
"language": "Clojure",
"total_stars": 54381,
"forks": 3531,
"stars_this_period": 3343,
"source_slice": "all",
"source_slices": [
"all"
],
"metadata": {
"topics": [
"clojure",
"clojurescript",
"design",
"prototyping",
"ui",
"ux-design",
"ux-experience"
],
"license": "MPL-2.0",
"open_issues": 667,
"created_at": "2015-12-29T22:09:07Z",
"pushed_at": "2026-06-26T22:01:03Z",
"homepage": "https://penpot.app",
"default_branch": "develop",
"forks": 3531,
"watchers": 273,
"archived": false,
"size_kb": 382059
},
"readme_content": "\n\n[uri_license]: https://www.mozilla.org/en-US/MPL/2.0\n[uri_license_image]: https://img.shields.io/badge/MPL-2.0-blue.svg\n\n
\n\n[Penpot video](https://github.com/user-attachments/assets/7c67fd7c-04d3-4c9b-88ec-b6f5e23f8332)\n\nPenpot is the open-source design platform for teams that build digital products at scale.\n\nPenpot’s key strength lies in giving you **full ownership of your design infrastructure**. Built on open source and designed for [self-hosting](https://help.penpot.app/technical-guide/getting-started/), it puts teams in complete control of their design environment supporting strict compliance and governance requirements. Whether used in the **browser or deployed on your own servers**, Penpot **works with open standards** like SVG, CSS, HTML, and JSON. \n\nReal-time collaboration strengthens this foundation, helping teams scale and bring design closer to the product through top-tier capabilities. Additionally, developers feel at home using Penpot, because design is expressed as code, enabling a direct translation and shipping products faster. \n\nBest-in-class native [Design Tokens](https://penpot.dev/collaboration/design-tokens) provide a single source of truth between design and development. They ensure consistency, improve collaboration, and make it easier to manage complex design systems.\n\nThe [MCP server](https://penpot.app/penpot-mcp-server) takes it further by enabling multi-directional workflows between design and code. A [powerful open API](https://help.penpot.app/mcp/#quick-start) and plugin system makes the workspace programmable, enabling automation, AI-driven workflows, and integrations with the tools and systems you already use.\n\nWith [CSS Grid and Flex Layout](https://help.penpot.app/user-guide/designing/flexible-layouts/), teams can design responsive interfaces that behave like real code from the start.\n\nCombined, these features turn Penpot into a **full-stack design platform** for building scalable design systems and fully integrated product development processes.\n\nIf your organization is scaling and needs extra support, we’re here to help. [Talk to us](https://penpot.app/talk-to-us)\n\n## Table of contents ##\n\n- [Why Penpot](#why-penpot)\n- [Getting Started](#getting-started)\n- [Community](#community)\n- [Contributing](#contributing)\n- [Resources](#resources)\n- [License](#license)\n\n## Why Penpot ##\n\nPenpot connects design, code, and AI workflows through a code-based approach, making designs readable by developers and AI via the MCP server. This approach helps teams ship what’s actually designed and manage design systems at scale with powerful design tokens. As a self-hosted, open-source and real-time collaboration platform, Penpot offers full flexibility, security, and ownership without vendor lock-in. Learn more about [why Penpot](https://penpot.app/why-penpot) is the platform for your team.\n\n### Plugin system ###\n\n[Penpot plugins](https://penpot.app/penpothub/plugins) let you expand the platform's capabilities, give you the flexibility to integrate it with other apps, and design custom solutions.\n\n### Designed for developers ###\n\nPenpot was built to serve both designers and developers and create a fluid design-code process. You have the choice to enjoy real-time collaboration or play \"solo\".\n\n### Inspect mode ###\n\nWork with ready-to-use code and make your workflow easy and fast. The inspect tab gives instant access to SVG, CSS and HTML code.\n\n### Integrations ###\n\nPenpot offers [integration](https://penpot.app/integrations-api) into the development toolchain, thanks to its support for webhooks and an API accessible through access tokens.\n\n### Building Design Systems: design tokens, components and variants ###\n\nPenpot brings [design systems](https://penpot.app/design/design-systems) to code-minded teams: a single source of truth with native Design Tokens, Components, and Variants for scalable, reusable, and consistent UI across projects and platforms.\n\n\n\n## Getting started ##\n\nPenpot is the only design & prototype platform that is deployment agnostic. You can use it in our [SAAS](https://design.penpot.app) or deploy it anywhere.\n\nLearn how to install it with Docker, Kubernetes, Elestio or other options on [our website](https://penpot.app/self-host).\n\n## Community ##\n\nWe love the Open Source software community. Contributing is our passion and if it’s yours too, participate and [improve](https://community.penpot.app/c/help-us-improve-penpot/7) Penpot. All your designs, code and ideas are welcome!\n\nWant to go a step further? Become a [Penpot Ambassador](https://penpot.app/ambassador-program) and help grow the Penpot community in your region while contributing to a global, open design ecosystem.\n\nIf you need help or have any questions; if you’d like to share your experience using Penpot or get inspired; if you’d rather meet our community of developers and designers, [join our Community](https://community.penpot.app/)!\n\nCategories include:\n\n- [Ask the Community](https://community.penpot.app/c/ask-for-help-using-penpot/6)\n- [Troubleshooting](https://community.penpot.app/c/technical/8)\n- [Help us Improve Penpot](https://community.penpot.app/c/help-us-improve-penpot/7)\n- [Events and Announcements](https://community.penpot.app/c/announcements/5)\n- [Penpot in your language](https://community.penpot.app/c/penpot-in-your-language/12)\n- [Education](https://community.penpot.app/c/education/28)\n\n\n\n### Code of Conduct ###\n\nAnyone who contributes to Penpot, whether through code, in the community, or at an event, must adhere to the\n[code of conduct](https://help.penpot.app/contributing-guide/coc/) and foster a positive and safe environment.\n\n### Contributing ###\n\nAny contribution will make a difference to improve Penpot. How can you get involved?\n\nChoose your way:\n\n- Create and [share Libraries & Templates](https://penpot.app/libraries-templates.html) that will be helpful for the community.\n- Invite your [team to join](https://design.penpot.app/#/auth/register).\n- Give this repo a star and follow us on Social Media: [Mastodon](https://fosstodon.org/@penpot/), [Youtube](https://www.youtube.com/c/Penpot), [Instagram](https://instagram.com/penpot.app), [Linkedin](https://www.linkedin.com/company/penpotdesign), [Peertube](https://peertube.kaleidos.net/a/penpot_app), [X](https://twitter.com/penpotapp) and [BlueSky](https://bsky.app/profile/penpot.app).\n- Participate in the [Community](https://community.penpot.app/) space by asking and answering questions; reacting to others’ articles; opening your own conversations and following along on decisions affecting the project.\n- Report bugs with our easy [guide for bugs hunting](https://help.penpot.app/contributing-guide/reporting-bugs/) or [GitHub issues](https://github.com/penpot/penpot/issues).\n- Become a [translator](https://help.penpot.app/contributing-guide/translations).\n- Give feedback: [Email us](mailto:support@penpot.app).\n- **Contribute to Penpot's code:** [Watch this video](https://www.youtube.com/watch?v=TpN0osiY-8k) by Alejandro Alonso, CIO and developer at Penpot, where he gives us a hands-on demo of how to use Penpot’s repository and make changes in both front and back end.\n\nTo find (almost) everything you need to know on how to contribute to Penpot, refer to the [contributing guide](https://help.penpot.app/contributing-guide/).\n\n\n\n## Resources ##\n\nYou can ask and answer questions, have open-ended conversations, and follow along on decisions affecting the project.\n\n💾 [Documentation](https://help.penpot.app/technical-guide/)\n\n🚀 [Getting Started](https://help.penpot.app/technical-guide/getting-started/)\n\n✏️ [Tutorials](https://www.youtube.com/playlist?list=PLgcCPfOv5v54WpXhHmNO7T-YC7AE-SRsr)\n\n🏘️ [Architecture](https://help.penpot.app/technical-guide/developer/architecture/)\n\n📚 [Dev Diaries](https://penpot.app/dev-diaries.html)\n\n🧑🏫 [UI Design Course](https://penpot.app/courses/)\n\n\n## License ##\n\n```\nThis Source Code Form is subject to the terms of the Mozilla Public\nLicense, v. 2.0. If a copy of the MPL was not distributed with this\nfile, You can obtain one at http://mozilla.org/MPL/2.0/.\n\nCopyright (c) KALEIDOS INC Sucursal en España SL\n```\nPenpot is a Kaleidos’ [open source project](https://kaleidos.net/)\n",
"strategic_keywords": [
"mcp",
"workflow"
],
"relationship_label": "Skill 来源",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme"
],
"score_breakdown": {
"heat": 20,
"relevance": 16,
"novelty": 11,
"productize": 14,
"adoption": 8,
"relation": 8,
"risk_signal": 8,
"total": 85
},
"strategic_score": 85
},
{
"owner": "bytedance",
"name": "deer-flow",
"full_name": "bytedance/deer-flow",
"url": "https://github.com/bytedance/deer-flow",
"description": "An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.",
"language": "Python",
"total_stars": 75223,
"forks": 10153,
"stars_this_period": 3258,
"source_slice": "all",
"source_slices": [
"all",
"python"
],
"metadata": {
"topics": [
"agent",
"agentic",
"agentic-framework",
"agentic-workflow",
"ai",
"ai-agents",
"deep-research",
"harness",
"langchain",
"langgraph",
"langmanus",
"llm",
"multi-agent",
"nodejs",
"podcast",
"python",
"superagent",
"typescript"
],
"license": "MIT",
"open_issues": 966,
"created_at": "2025-05-07T02:50:19Z",
"pushed_at": "2026-06-28T15:30:40Z",
"homepage": "https://deerflow.tech",
"default_branch": "main",
"forks": 10153,
"watchers": 320,
"archived": false,
"size_kb": 40140
},
"readme_content": "# 🦌 DeerFlow - 2.0\n\nEnglish | [中文](./README_zh.md) | [日本語](./README_ja.md) | [Français](./README_fr.md) | [Русский](./README_ru.md)\n\n[](./backend/pyproject.toml)\n[](./Makefile)\n[](./LICENSE)\n\n\n> On February 28th, 2026, DeerFlow claimed the 🏆 #1 spot on GitHub Trending following the launch of version 2. Thanks a million to our incredible community — you made this happen! 💪🔥\n\nDeerFlow (**D**eep **E**xploration and **E**fficient **R**esearch **Flow**) is an open-source **super agent harness** that orchestrates **sub-agents**, **memory**, and **sandboxes** to do almost anything — powered by **extensible skills**.\n\nhttps://github.com/user-attachments/assets/a8bcadc4-e040-4cf2-8fda-dd768b999c18\n\n> [!NOTE]\n> **DeerFlow 2.0 is a ground-up rewrite.** It shares no code with v1. If you're looking for the original Deep Research framework, it's maintained on the [`1.x` branch](https://github.com/bytedance/deer-flow/tree/main-1.x) — contributions there are still welcome. Active development has moved to 2.0.\n\n## Official Website\n\nLearn more and see **real demos** on our [**official website**](https://deerflow.tech).\n\n## Coding Plan from ByteDance Volcengine\n\n- We strongly recommend using Doubao-Seed-2.0-Code, DeepSeek v3.2 and Kimi 2.5 to run DeerFlow\n- [Learn more](https://www.byteplus.com/en/activity/codingplan?utm_campaign=deer_flow&utm_content=deer_flow&utm_medium=devrel&utm_source=OWO&utm_term=deer_flow)\n- [中国大陆地区的开发者请点击这里](https://www.volcengine.com/activity/codingplan?utm_campaign=deer_flow&utm_content=deer_flow&utm_medium=devrel&utm_source=OWO&utm_term=deer_flow)\n\n## InfoQuest\n\nDeerFlow has newly integrated the intelligent search and crawling toolset independently developed by BytePlus--[InfoQuest (supports free online experience)](https://docs.byteplus.com/en/docs/InfoQuest/What_is_Info_Quest)\n\n\n \n\n\n---\n\n## Table of Contents\n\n- [🦌 DeerFlow - 2.0](#-deerflow---20)\n - [Official Website](#official-website)\n - [Coding Plan from ByteDance Volcengine](#coding-plan-from-bytedance-volcengine)\n - [InfoQuest](#infoquest)\n - [Table of Contents](#table-of-contents)\n - [One-Line Agent Setup](#one-line-agent-setup)\n - [Quick Start](#quick-start)\n - [Configuration](#configuration)\n - [Running the Application](#running-the-application)\n - [Deployment Sizing](#deployment-sizing)\n - [Option 1: Docker (Recommended)](#option-1-docker-recommended)\n - [Option 2: Local Development](#option-2-local-development)\n - [Advanced](#advanced)\n - [Sandbox Mode](#sandbox-mode)\n - [MCP Server](#mcp-server)\n - [IM Channels](#im-channels)\n - [LangSmith Tracing](#langsmith-tracing)\n - [Langfuse Tracing](#langfuse-tracing)\n - [Using Both Providers](#using-both-providers)\n - [From Deep Research to Super Agent Harness](#from-deep-research-to-super-agent-harness)\n - [Core Features](#core-features)\n - [Skills \\& Tools](#skills--tools)\n - [Claude Code Integration](#claude-code-integration)\n - [Sub-Agents](#sub-agents)\n - [Sandbox \\& File System](#sandbox--file-system)\n - [Context Engineering](#context-engineering)\n - [Long-Term Memory](#long-term-memory)\n - [Recommended Models](#recommended-models)\n - [Embedded Python Client](#embedded-python-client)\n - [Terminal Workbench (TUI)](#terminal-workbench-tui)\n - [Documentation](#documentation)\n - [⚠️ Security Notice](#️-security-notice)\n - [Improper Deployment May Introduce Security Risks](#improper-deployment-may-introduce-security-risks)\n - [Security Recommendations](#security-recommendations)\n - [Contributing](#contributing)\n - [License](#license)\n - [Acknowledgments](#acknowledgments)\n - [Key Contributors](#key-contributors)\n - [Star History](#star-history)\n\n## One-Line Agent Setup\n\nIf you use Claude Code, Codex, Cursor, Windsurf, or another coding agent, you can hand it the setup instructions in one sentence:\n\n```text\nHelp me clone DeerFlow if needed, then bootstrap it for local development by following https://raw.githubusercontent.com/bytedance/deer-flow/main/Install.md\n```\n\nThat prompt is intended for coding agents. It tells the agent to clone the repo if needed, choose Docker when available, and stop with the exact next command plus any missing config the user still needs to provide.\n\n## Quick Start\n\n### Configuration\n\n1. **Clone the DeerFlow repository**\n\n ```bash\n git clone https://github.com/bytedance/deer-flow.git\n cd deer-flow\n ```\n\n2. **Run the setup wizard**\n\n From the project root directory (`deer-flow/`), run:\n\n ```bash\n make setup\n ```\n\n This launches an interactive wizard that guides you through choosing an LLM provider, optional web search, and execution/safety preferences such as sandbox mode, bash access, and file-write tools. It generates a minimal `config.yaml` and writes your keys to `.env`. Takes about 2 minutes.\n\n The wizard also lets you configure an optional web search provider, or skip it for now.\n\n Run `make doctor` at any time to verify your setup and get actionable fix hints.\n\n > **Advanced / manual configuration**: If you prefer to edit `config.yaml` directly, run `make config` instead to copy the full template. See `config.example.yaml` for the complete reference including CLI-backed providers (Codex CLI, Claude Code OAuth), OpenRouter, Responses API, and more.\n\n \n Manual model configuration examples\n\n ```yaml\n models:\n - name: gpt-4o\n display_name: GPT-4o\n use: langchain_openai:ChatOpenAI\n model: gpt-4o\n api_key: $OPENAI_API_KEY\n\n - name: openrouter-gemini-2.5-flash\n display_name: Gemini 2.5 Flash (OpenRouter)\n use: langchain_openai:ChatOpenAI\n model: google/gemini-2.5-flash-preview\n api_key: $OPENROUTER_API_KEY\n base_url: https://openrouter.ai/api/v1\n\n - name: gpt-5-responses\n display_name: GPT-5 (Responses API)\n use: langchain_openai:ChatOpenAI\n model: gpt-5\n api_key: $OPENAI_API_KEY\n use_responses_api: true\n output_version: responses/v1\n\n - name: qwen3-32b-vllm\n display_name: Qwen3 32B (vLLM)\n use: deerflow.models.vllm_provider:VllmChatModel\n model: Qwen/Qwen3-32B\n api_key: $VLLM_API_KEY\n base_url: http://localhost:8000/v1\n supports_thinking: true\n when_thinking_enabled:\n extra_body:\n chat_template_kwargs:\n enable_thinking: true\n ```\n\n OpenRouter and similar OpenAI-compatible gateways should be configured with `langchain_openai:ChatOpenAI` plus `base_url`. If you prefer a provider-specific environment variable name, point `api_key` at that variable explicitly (for example `api_key: $OPENROUTER_API_KEY`).\n\n To route OpenAI models through `/v1/responses`, keep using `langchain_openai:ChatOpenAI` and set `use_responses_api: true` with `output_version: responses/v1`.\n\n For vLLM 0.19.0, use `deerflow.models.vllm_provider:VllmChatModel`. For Qwen-style reasoning models, DeerFlow toggles reasoning with `extra_body.chat_template_kwargs.enable_thinking` and preserves vLLM's non-standard `reasoning` field across multi-turn tool-call conversations. Legacy `thinking` configs are normalized automatically for backward compatibility. Reasoning models may also require the server to be started with `--reasoning-parser ...`. If your local vLLM deployment accepts any non-empty API key, you can still set `VLLM_API_KEY` to a placeholder value.\n\n CLI-backed provider examples:\n\n ```yaml\n models:\n - name: gpt-5.4\n display_name: GPT-5.4 (Codex CLI)\n use: deerflow.models.openai_codex_provider:CodexChatModel\n model: gpt-5.4\n supports_thinking: true\n supports_reasoning_effort: true\n\n - name: claude-sonnet-4.6\n display_name: Claude Sonnet 4.6 (Claude Code OAuth)\n use: deerflow.models.claude_provider:ClaudeChatModel\n model: claude-sonnet-4-6\n max_tokens: 4096\n supports_thinking: true\n ```\n\n - Codex CLI reads `~/.codex/auth.json`\n - Claude Code accepts `CLAUDE_CODE_OAUTH_TOKEN`, `ANTHROPIC_AUTH_TOKEN`, `CLAUDE_CODE_CREDENTIALS_PATH`, or `~/.claude/.credentials.json`\n - ACP agent entries are separate from model providers — if you configure `acp_agents.codex`, point it at a Codex ACP adapter such as `npx -y @zed-industries/codex-acp`\n - On macOS, export Claude Code auth explicitly if needed:\n\n ```bash\n eval \"$(python3 scripts/export_claude_code_oauth.py --print-export)\"\n ```\n\n API keys can also be set manually in `.env` (recommended) or exported in your shell:\n\n ```bash\n OPENAI_API_KEY=your-openai-api-key\n TAVILY_API_KEY=your-tavily-api-key\n ```\n\n \n\n### Running the Application\n\n#### Deployment Sizing\n\nUse the table below as a practical starting point when choosing how to run DeerFlow:\n\n| Deployment target | Starting point | Recommended | Notes |\n|---------|-----------|------------|-------|\n| Local evaluation / `make dev` | 4 vCPU, 8 GB RAM, 20 GB free SSD | 8 vCPU, 16 GB RAM | Good for one developer or one light session with hosted model APIs. `2 vCPU / 4 GB` is usually not enough. |\n| Docker development / `make docker-start` | 4 vCPU, 8 GB RAM, 25 GB free SSD | 8 vCPU, 16 GB RAM | Image builds, bind mounts, and sandbox containers need more headroom than pure local dev. |\n| Long-running server / `make up` | 8 vCPU, 16 GB RAM, 40 GB free SSD | 16 vCPU, 32 GB RAM | Preferred for shared use, multi-agent runs, report generation, or heavier sandbox workloads. |\n\n- These numbers cover DeerFlow itself. If you also host a local LLM, size that service separately.\n- Linux plus Docker is the recommended deployment target for a persistent server. macOS and Windows are best treated as development or evaluation environments.\n- If CPU or memory usage stays pinned, reduce concurrent runs first, then move to the next sizing tier.\n\n#### Option 1: Docker (Recommended)\n\n**Development** (hot-reload, source mounts):\n\n```bash\nmake docker-init # Pull sandbox image (only once or when image updates)\nmake docker-start # Start services (auto-detects sandbox mode from config.yaml)\n```\n\n`make docker-start` starts `provisioner` only when `config.yaml` uses provisioner mode (`sandbox.use: deerflow.community.aio_sandbox:AioSandboxProvider` with `provisioner_url`).\n\nDocker builds use the upstream `uv` registry by default. If you need faster mirrors in restricted networks, export `UV_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple` and `NPM_REGISTRY=https://registry.npmmirror.com` before running `make docker-init` or `make docker-start`.\n\nBackend processes automatically pick up `config.yaml` changes on the next config access, so model metadata updates do not require a manual restart during development.\n\n> [!TIP]\n> On Linux, if Docker-based commands fail with `permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock`, add your user to the `docker` group and re-login before retrying. See [CONTRIBUTING.md](CONTRIBUTING.md#linux-docker-daemon-permission-denied) for the full fix.\n\n**Production** (builds images locally, mounts runtime config and data):\n\n```bash\nmake up # Build images and start all production services\nmake down # Stop and remove containers\n```\n\nAccess: http://localhost:2026\n\nThe unified nginx endpoint i",
"strategic_keywords": [
"agent",
"agents",
"memory",
"mcp",
"rag",
"skill",
"llm",
"workflow"
],
"relationship_label": "Memory 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme"
],
"score_breakdown": {
"heat": 20,
"relevance": 20,
"novelty": 15,
"productize": 14,
"adoption": 8,
"relation": 10,
"risk_signal": 8,
"total": 95
},
"strategic_score": 95
},
{
"owner": "Stirling-Tools",
"name": "Stirling-PDF",
"full_name": "Stirling-Tools/Stirling-PDF",
"url": "https://github.com/Stirling-Tools/Stirling-PDF",
"description": "#1 PDF Application on GitHub that lets you edit PDFs on any device anywhere",
"language": "Java",
"total_stars": 84935,
"forks": 7379,
"stars_this_period": 3231,
"source_slice": "all",
"source_slices": [
"all"
],
"metadata": {
"topics": [
"docker",
"hacktoberfest",
"java",
"pdf",
"pdf-converter",
"pdf-editor",
"pdf-manipulation",
"pdf-merger",
"pdf-ocr",
"pdf-tools",
"pdf-web-apps",
"pdfmerger",
"self-hosted"
],
"license": "NOASSERTION",
"open_issues": 468,
"created_at": "2023-01-27T18:22:42Z",
"pushed_at": "2026-06-28T08:48:34Z",
"homepage": "https://stirling.com",
"default_branch": "main",
"forks": 7379,
"watchers": 246,
"archived": false,
"size_kb": 309646
},
"readme_content": "
\n \n
\n\n
Stirling PDF - The Open-Source PDF Platform
\n\nStirling PDF is a powerful, open-source PDF editing platform. Run it as a personal desktop app, in the browser, or deploy it on your own servers with a private API. Edit, sign, redact, convert, and automate PDFs without sending documents to external services.\n\n
\n\n\n\n## Key Capabilities\n\n- **Everywhere you work** - Desktop client, browser UI, and self-hosted server with a private API.\n- **50+ PDF tools** - Edit, merge, split, sign, redact, convert, OCR, compress, and more.\n- **Automation & workflows** - No-code pipelines direct in UI with APIs to process millions of PDFs.\n- **Enterprise‑grade** - SSO, auditing, and flexible on‑prem deployments.\n- **Developer platform** - REST APIs available for nearly all tools to integrate into your existing systems.\n- **Global UI** - Interface available in 40+ languages.\n\nFor a full feature list, see the docs: **https://docs.stirlingpdf.com**\n\n## Quick Start\n\n```bash\ndocker run -p 8080:8080 docker.stirlingpdf.com/stirlingtools/stirling-pdf\n```\n\nThen open: http://localhost:8080\n\nFor full installation options (including desktop and Kubernetes), see our [Documentation Guide](https://docs.stirlingpdf.com/#documentation-guide).\n\n## Resources\n\n- [**Documentation**](https://docs.stirlingpdf.com)\n- [**Homepage**](https://stirling.com)\n- [**API Docs**](https://registry.scalar.com/@stirlingpdf/apis/stirling-pdf-processing-api/)\n- [**Server Plan & Enterprise**](https://docs.stirlingpdf.com/Paid-Offerings)\n\n## Support\n\n- **Community** [Discord](https://discord.gg/HYmhKj45pU)\n- **Bug Reports**: [Github issues](https://github.com/Stirling-Tools/Stirling-PDF/issues)\n\n## Contributing\n\nWe welcome contributions! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.\n\nThis project uses [Task](https://taskfile.dev/) as a unified command runner for all build, dev, and test commands. Run `task dev` to get started running the editor, run `task` to see the most common commands, or see the [Developer Guide](DeveloperGuide.md) for full details.\n\nFor adding translations, see the [Translation Guide](devGuide/HowToAddNewLanguage.md).\n\n## License\n\nStirling PDF is open-core. See [LICENSE](LICENSE) for details.\n",
"strategic_keywords": [
"workflow",
"automation"
],
"relationship_label": "Workspace 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme"
],
"score_breakdown": {
"heat": 20,
"relevance": 16,
"novelty": 8,
"productize": 14,
"adoption": 8,
"relation": 8,
"risk_signal": 8,
"total": 82
},
"strategic_score": 82
},
{
"owner": "opendatalab",
"name": "MinerU",
"full_name": "opendatalab/MinerU",
"url": "https://github.com/opendatalab/MinerU",
"description": "Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.",
"language": "Python",
"total_stars": 71521,
"forks": 6009,
"stars_this_period": 2855,
"source_slice": "python",
"source_slices": [
"python"
],
"metadata": {
"topics": [
"ai4science",
"document-analysis",
"docx",
"extract-data",
"layout-analysis",
"ocr",
"parser",
"pdf",
"pdf-converter",
"pdf-extractor-llm",
"pdf-extractor-pretrain",
"pdf-extractor-rag",
"pdf-parser",
"pptx",
"python",
"xlsx"
],
"license": "NOASSERTION",
"open_issues": 27,
"created_at": "2024-02-29T08:52:34Z",
"pushed_at": "2026-06-27T07:38:39Z",
"homepage": "https://opendatalab.github.io/MinerU/",
"default_branch": "master",
"forks": 6009,
"watchers": 261,
"archived": false,
"size_kb": 156331
},
"readme_content": "
\n\n\n\n---\n\n## What It Does\n\n- **500+ curated news feeds** across 15 categories, AI-synthesized into briefs\n- **Dual map engine** — 3D globe (globe.gl) and WebGL flat map (deck.gl) with 56 map layer types\n- **Cross-stream correlation** — military, economic, disaster, and escalation signal convergence\n- **Country Instability Index (CII)** — server-authoritative CII v8 stress scoring for 31 Tier-1 countries\n- **Finance radar** — 29 stock exchanges, commodities, crypto, and 7-signal market composite\n- **Local AI** — run everything with Ollama, no API keys required\n- **6 site variants** from a single codebase (world, tech, finance, commodity, happy, energy)\n- **Native desktop app** (Tauri 2) for macOS, Windows, and Linux\n- **24 languages** with native-language feeds and RTL support\n\nFor the full feature list, architecture, data sources, and algorithms, see the **[documentation](https://www.worldmonitor.app/docs/documentation)**.\n\n---\n\n## Support Status\n\nAll site variants and desktop binaries are built from a single codebase and ship from the same release process. The table below clarifies maintenance status so you know which surfaces are safe to depend on.\n\n| Surface | Status | Notes |\n|---------|--------|-------|\n| `worldmonitor.app`, `tech.`, `finance.`, `commodity.`, `happy.`, `energy.` | Stable | Public deployments built from this repo, actively maintained |\n| Desktop binaries (Windows / macOS Apple Silicon / macOS Intel / Linux AppImage) | Stable | One Tauri binary that switches variants in-app; current CI release targets are `full` and `tech` |\n\nIssues filed against any of the above are triaged from the same backlog — see the [issues board](https://github.com/koala73/worldmonitor/issues) for currently-open work.\n\n---\n\n## Quick Start\n\n```bash\ngit clone https://github.com/koala73/worldmonitor.git\ncd worldmonitor\nnpm install\nnpm run dev\n```\n\nOpen [localhost:3000](http://localhost:3000). The app runs with no environment variables.\n\nFeature-specific data sources may require credentials — for example, the flight-price command (`fly LON DXB`) needs `TRAVELPAYOUTS_API_TOKEN` to return live quotes; without it the command shows a \"credentials required\" message rather than synthetic data. See `.env.example` for the full list.\n\nFor variant-specific development:\n\n```bash\nnpm run dev:tech # tech.worldmonitor.app\nnpm run dev:finance # finance.worldmonitor.app\nnpm run dev:commodity # commodity.worldmonitor.app\nnpm run dev:happy # happy.worldmonitor.app\nnpm run dev:energy # energy.worldmonitor.app\n```\n\nSee the **[self-hosting guide](https://www.worldmonitor.app/docs/getting-started)** for deployment options (Vercel, Docker, static).\n\n---\n\n## Tech Stack\n\n| Category | Technologies |\n|----------|-------------|\n| **Frontend** | Vanilla TypeScript, Vite, globe.gl + Three.js, deck.gl + MapLibre GL |\n| **Desktop** | Tauri 2 (Rust) with Node.js sidecar |\n| **AI/ML** | Ollama / Groq / OpenRouter, Transformers.js (browser-side) |\n| **API Contracts** | Protocol Buffers (276 protos, 34 services), sebuf HTTP annotations |\n| **Deployment** | Vercel Edge Functions (60+), Railway relay, Tauri, PWA |\n| **Caching** | Redis (Upstash), 3-tier cache, CDN, service worker |\n\nFull stack details in the **[architecture docs](https://www.worldmonitor.app/docs/architecture)**.\n\n---\n\n## Flight Data\n\nFlight data provided gracefully by [Wingbits](https://wingbits.com?utm_source=worldmonitor&utm_medium=referral&utm_campaign=worldmonitor), the most advanced ADS-B flight data solution.\n\n---\n\n## Data Sources\n\nWorldMonitor aggregates 65+ external providers and APIs across geopolitics, finance, energy, climate, aviation, cyber, military, infrastructure, and news intelligence — surfaced through 500+ curated feeds and tracked by a freshness monitor covering 35 source groups. See the full [data sources catalog](https://www.worldmonitor.app/docs/data-sources) for providers, feed tiers, and collection methods.\n\n---\n\n## Contributing\n\nContributions welcome! See [CONTRIBUTING.md](./CONTRIBUTING.md) for guidelines.\n\n```bash\nnpm run typecheck # Type checking\nnpm run build:full # Production build\n```\n\n---\n\n## License\n\n**AGPL-3.0-only** for the source code. Commercial use is permitted under the AGPL when you comply with its copyleft and source-availability terms.\n\n| Use Case | Allowed? |\n|----------|----------|\n| Personal / research / educational | Yes, under AGPL-3.0-only |\n| Self-hosted instance | Yes, under AGPL-3.0-only |\n| Fork and modify | Yes, share source under AGPL-3.0-only when required |\n| Commercial use / SaaS | Yes, under AGPL-3.0-only when you comply with AGPL obligations |\n| Private-source proprietary use or official branding rights | Separate commercial or trademark permission needed |\n\nSee [LICENSE](LICENSE) for the full code license and [docs/license.mdx](docs/license.mdx) for a plain-language summary. Commercial licensing is available as an alternative option for teams that need non-AGPL terms.\n\nCopyright (C) 2024-2026 Elie Habib. All rights reserved.\n\n---\n\n## Author\n\n**Elie Habib** — [GitHub](https://github.com/koala73)\n\n## Contributors\n\n\n \n\n\n## Security Acknowledgments\n\nWe thank the following researchers for responsibly disclosing security issues:\n\n- **Cody Richard** — Disclosed three security findings covering IPC command exposure, renderer-to-sidecar trust boundary analysis, and fetch patch credential injection architecture (2026)\n\nSee our [Security Policy](./SECURITY.md) for responsible disclosure guidelines.\n\n---\n\n
\n\nHyperFrames is an open-source framework for turning HTML, CSS, media, and seekable animations into deterministic MP4 videos. Use it locally with the CLI, from AI coding agents with skills, or as the rendering core behind hosted authoring workflows.\n\n## Quick Start\n\n### With an AI coding agent\n\nInstall the HyperFrames skills, then describe the video you want:\n\n```bash\nnpx skills add heygen-com/hyperframes\n```\n\nTry a prompt like:\n\n> Using `/hyperframes`, create a 10-second product intro with a fade-in title, a background video, and subtle background music.\n\nThe skills teach agents the HyperFrames production loop: plan the video, write valid HTML, wire seekable animations, add media, lint, preview, and render. They work with Claude Code, Cursor, Gemini CLI, Codex, and other coding agents that support skills.\n\n## Skills\n\nHyperFrames ships 19 skills agents load on demand. Read `/hyperframes` first — it's the router and capability map; it picks a workflow for any \"make me a video\" request and points to the domain skills below.\n\nRun `npx skills add heygen-com/hyperframes` for the interactive picker, `npx skills add heygen-com/hyperframes --all` to install all 19 at once (skips the picker), or `npx skills add heygen-com/hyperframes --skill ` for just one (bare name, no leading `/`).\n\n### Router\n\n| Skill | Use when |\n| -------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `/hyperframes` | **Read first** for any request to make / create / edit / animate / render a video, animation, or motion graphic. Capability map for the domain skills and intent router for the creation workflows below. |\n\n### Creation workflows\n\n| Skill | Use when |\n| -------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `/product-launch-video` | Marketing / launching / promoting a **product** — from its URL, a brief, or a script (even if the site is only named). Up to ~3 min (sweet spot 30-90s). |\n| `/website-to-video` | Turning a **general website** into a video — site tour, portfolio / landing-page showcase, social clip from the site's own visuals. |\n| `/faceless-explainer` | **Explaining a topic / concept** from arbitrary text — no product, no URL, no website capture; every visual is LLM-invented (typography / abstract / diagram / data-viz). |\n| `/pr-to-video` | A **GitHub pull request** (PR URL, `owner/repo#N` ref, or \"this PR\") → changelog / feature-reveal / fix / refactor explainer, read via the `gh` CLI. |\n| `/embedded-captions` | Adding **captions / subtitles** to an existing talking-head video (footage untouched) — verbatim rail, embedded climax behind the subject, or pure-cinematic embed. |\n| `/talking-head-recut` | Packaging an existing talking-head / interview / podcast video with **designed graphic overlays** — lower-thirds, data callouts, kinetic titles, pull-quotes, side panels, PiP. |\n| `/motion-graphics` | A short, **unnarrated, design-led motion graphic** (~under 10s) — kinetic type, stat / chart hit, logo sting, lower-third, animated tweet / headline. MP4 or transparent overlay. |\n| `/music-to-video` | A **music track** (audio file, or video to pull audio from) → a **beat-synced** video — lyric, slideshow, or kinetic promo; music drives pacing. |\n| `/slideshow` | A **presentation / pitch deck / interactive deck** — discrete slides, fragment reveals, branching, hotspot navigation, presenter mode. Output is a navigable deck, not a rendered video. |\n| `/general-video` | **Anything else** — longer or multi-scene pieces, brand / sizzle reel, title card, static loop, freeform composition. Input- and length-agnostic fallback. |\n| `/remotion-to-hyperframes` | **Porting an existing Remotion** (React) composition's source to HyperFrames HTML. One-way migration, not creation. |\n\n### Domain skills (loaded on demand)\n\nAtomic capabilities the creation workflows compose against — pull one when you need that specific layer.\n\n| Skill | Covers |\n| ------------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| `/hyperframes-core` | The composition contract — `data-*` timing attributes, `class=\"clip\"`, tracks, sub-compositions, variables, framework-owned media playback, determinism rules. |\n| `/hyperframes-animation` | All animation knowledge — atomic motion rules, scene blueprints, transitions, runtime adapters (GSAP / Lottie / Three.js / Anime.js / CSS / WAAPI / TypeGPU). |\n| `/hyperframes-creative` | Non-animation creative direction — `frame.md` / `design.md`, palettes, typography, narration, beat planning, audio-reactive visuals, composition patterns. |\n| `/hyperframes-media` | Audio + media — TTS voiceover, background music, sound effects, Whisper transcription, background removal, caption authoring (one shared audio engine). |\n| `/media-use` | Resolve any media need (BGM, SFX, image, icon) into a frozen local file + ledger record. One verb (`resolve`) over the HeyGen catalog with manifest tracking. |\n| `/hyperframes-cli` | CLI dev loop — `init`, `lint`, `validate`, `inspect`, `preview`, `render`, `publish`, `doctor`, plus AWS Lambda cloud rendering (`lambda deploy / render / progress`). |\n| `/hyperframes-registry` | Install and wire registry blocks and components into compositions via `hyperframes add`. Authoring a new block or component to contribute upstream. |\n\nFor visual design handoff workflows, see the [Claude Design guide](https://hyperframes.heygen.com/guides/claude-design) and [Open Design guide](https://hyperframes.heygen.com/guides/open-design).\n\n### Manually with the CLI\n\n```bash\nnpx hyperframes init my-video\ncd my-video\nnpx hyperframes preview # preview in browser with live reload\nnpx hyperframes render # render to MP4\n```\n\n**Requirements:** Node.js 22+, FFmpeg\n\n## What You Can Build\n\nNeed ideas? Browse the [Showcase](https://hyperframes.heygen.com/showcase) for finished videos you can watch, read, run, and remix.\n\n- Product launch videos and feature announcements\n- PR walkthroughs with animated code diffs, narration, and captions\n- Data visualizations, chart races, and map animations\n- Social videos with kinetic captions, overlays, and music\n- Docs-to-video, PDF-to-video, and website-to-video explainers\n- Reusable motion graphics for automated content pipelines\n\n## Frame.md\n\n**frame.md — your design system, ready for video.**\n\nEvery brand has a `design.md`. None of them were written for a camera. `frame.md` is the missing translation layer: it takes your web-context design spec and inverts it for the frame — the same tokens, the same rules, but rewritten so an AI agent can compose a promo video without guessing at scale or reaching for web chrome.\n\nThe output is a `DESIGN.md` superset your whole toolchain can read. Atoms stay sacred. Composition stays free. Numbers come from the script.\n\n
\n\n### Mobile Companion\n\nMonitor and steer your agents from your phone — get notified when an agent finishes and send follow-ups from anywhere.\n\n[iOS App Store](https://apps.apple.com/us/app/orca-ide/id6766130217) · [TestFlight](https://testflight.apple.com/join/YjeGMQBA) · [Android APK 0.0.17](https://github.com/stablyai/orca/releases/download/mobile-android-v0.0.17/app-release.apk) · [Docs →](https://www.onorca.dev/docs/mobile)\n\n
\n
\n \n
\n
\n
\n
\n\n### Parallel Worktrees\n\nFan one prompt across five agents, each in its own isolated git worktree — compare the results and merge the winner.\n\n[Docs →](https://www.onorca.dev/docs/model/worktrees)\n\n
\n
\n \n
\n
\n
\n
\n\n### Terminal Splits\n\nGhostty-class terminals with WebGL rendering, infinite splits, and scrollback that survives restarts.\n\n[Docs →](https://www.onorca.dev/docs/terminal)\n\n
\n
\n \n
\n
\n
\n
\n\n### Design Mode\n\nClick any UI element in a real Chromium window to send its HTML, CSS, and a cropped screenshot straight into your agent's prompt.\n\n[Docs →](https://www.onorca.dev/docs/browser/design-mode)\n\n
\n
\n \n
\n
\n
\n
\n\n### GitHub & Linear, Native\n\nBrowse PRs, issues, and project boards in-app — open a worktree from any task and review without a context switch.\n\n[Docs →](https://www.onorca.dev/docs/review/linear)\n\n
\n
\n \n
\n
\n
\n
\n\n### SSH Worktrees\n\nRun agents on a beefy remote box with full file editing, git, and terminals — auto-reconnect and port forwarding included.\n\n[Docs →](https://www.onorca.dev/docs/ssh)\n\n
\n
\n \n
\n
\n
\n
\n\n### Annotate AI Diffs\n\nDrop comments on any diff line and ship them back to the agent — review, edit, and commit without leaving Orca.\n\n[Docs →](https://www.onorca.dev/docs/review/annotate-ai-diff)\n\n
\n
\n \n
\n
\n
\n
\n\n### Drag Files to Agents\n\nVS Code's editor with autosave everywhere — drag files or images straight into an agent prompt.\n\n[Docs →](https://www.onorca.dev/docs/editing/file-explorer)\n\n
\n
\n \n
\n
\n
\n
\n\n### Orca CLI\n\nAgents drive Orca too — script every workflow with `orca worktree create`, `snapshot`, `click`, and `fill`.\n\n[Docs →](https://www.onorca.dev/docs/cli/overview)\n\n
\n
\n \n
\n
\n
\n\n**Also in the box:**\n\n- **[Quick open](https://www.onorca.dev/docs/model/quick-open)** — Search across worktrees, files, agents, commands, and repo context without leaving your flow.\n- **[Account switcher & usage tracking](https://www.onorca.dev/docs/agents/usage-tracking)** — See Claude and Codex usage and rate-limit resets, and hot-swap accounts without re-logging in.\n- **[Rich repo previews](https://www.onorca.dev/docs/editing/markdown)** — Preview Markdown, images, PDFs, and repo docs in the workspace.\n- **[Computer Use](https://www.onorca.dev/docs/cli/computer-use)** — Let agents operate desktop apps and visible UI when a workflow needs real interaction.\n- **[Notifications and unread state](https://www.onorca.dev/docs/notifications)** — Know when an agent finishes or needs attention, then mark threads unread to come back later.\n- **And many, many more** — we ship daily, so this list is perpetually behind. The [changelog](https://github.com/stablyai/orca/releases) is the real feature list.\n\n---\n\n## Supported Agents\n\nWorks with **any CLI agent** — if it runs in a terminal, it runs in Orca.\n\n
\n\n---\n\n## What you get\n\n\n \n \n\n\n\nSee all features\n\n
\n
\n
\n\n#### 🧭 Trip planning\n\n- **Drag & drop planner** — organise places into day plans with reordering and cross-day moves\n- **Interactive map** — Leaflet or Mapbox GL with 3D buildings, terrain, photo markers, clustering, route visualization\n- **Place search** — Google Places (photos, ratings, hours) or OpenStreetMap (free, no API key)\n- **Place import** — shared Google Maps / Naver Maps lists, plus GPX and KML/KMZ/GeoJSON map files\n- **Day notes** — timestamped, icon-tagged notes with drag-and-drop reordering\n- **Route optimisation** — auto-sort places and export to Google Maps\n- **Weather forecasts** — 16-day via Open-Meteo (no key) + historical climate fallback\n- **Category filter** — show only matching pins on the map\n\n
\n
\n\n#### 🧳 Travel management\n\n- **Reservations** — flights, accommodations, restaurants with status, confirmation numbers, files; import from booking confirmation emails and PDFs ([KDE Itinerary](https://invent.kde.org/pim/kitinerary))\n- **Costs** — track and split trip expenses (Splitwise-style): per-person / per-day breakdowns, settle-up, multi-currency\n- **Packing lists** — categories, templates, user assignment, progress tracking\n- **Bag tracking** — optional weight tracking with iOS-style distribution\n- **Document manager** — attach docs, tickets, PDFs to trips / places / reservations (≤ 50 MB each)\n- **PDF export** — full trip plan as PDF with cover page, images, notes\n\n
\n
\n
\n
\n\n#### 👥 Collaboration\n\n- **Real-time sync** — WebSocket. Changes appear instantly across all connected users\n- **Multi-user trips** — invite members with role-based access\n- **Invite links** — one-time or reusable links with expiry\n- **SSO (OIDC)** — Google, Apple, Authentik, Keycloak, or any OIDC provider\n- **2FA** — TOTP + backup codes\n- **Passkeys** — passwordless WebAuthn login (fingerprint / face / PIN / security key), admin-toggleable\n- **Collab suite** — group chat, shared notes, polls, day check-ins\n\n
\n
\n\n#### 📱 Mobile & PWA\n\n- **Installable** — iOS and Android, straight from the browser, no App Store needed\n- **Offline support** — Service Worker caches tiles, API, uploads via Workbox\n- **Native feel** — fullscreen standalone, themed status bar, splash screen\n- **Touch optimised** — mobile-specific layouts with safe-area handling\n\n
\n
\n
\n
\n\n#### 🧩 Addons (admin-toggleable)\n\n- **Lists** — packing lists + to-dos with templates, member assignments, optional bag tracking\n- **Costs** — expense tracker with splits and settle-up (who owes whom), multi-currency\n- **Documents** — file attachments on trips, places, and reservations\n- **Collab** — chat, notes, polls, day-by-day attendance\n- **Vacay** — personal vacation planner with calendar, 100+ country holidays, carry-over tracking\n- **Atlas** — world map of visited countries, bucket list, travel stats, streak tracking, liquid-glass UI\n- **Journey** — magazine-style travel journal with entries, photos (Immich/Synology), maps, moods\n- **AirTrail** — connect a self-hosted AirTrail instance to import and sync flights into reservations\n- **MCP** — expose TREK to AI assistants via OAuth 2.1\n\n
\n
\n\n#### 🤖 AI / MCP\n\n- **Built-in MCP server** — OAuth 2.1 authenticated. 150+ tools, 30 resources\n- **Granular scopes** — 27 OAuth scopes across 13 permission groups\n- **Full automation** — AI can create trips, plan days, build packing lists, manage budgets, mark countries visited\n- **Pre-built prompts** — `trip-summary`, `packing-list`, `budget-overview`\n- **Addon-aware** — exposes Atlas, Collab, Vacay when those addons are on\n\n
\n
\n
\n
\n\n#### ⚙️ Admin & customisation\n\n- **Dashboard views** — card grid or compact list · **Dark mode** — full theme with matching status bar\n- **20 languages** — EN, DE, ES, FR, IT, NL, HU, RU, ZH, ZH-TW, PL, CS, AR (RTL), BR, ID, TR, JA, KO, UK, GR\n- **Admin panel** — users, invites, packing templates, categories, addons, API keys, backups, GitHub history\n- **Notifications** — per-user preferences across email (SMTP), webhook, ntfy, and an in-app notification center\n- **Auto-backups** — scheduled with configurable retention · **Units** — °C/°F, 12h/24h, map tile sources, default coordinates\n\n
\n
\n
\n\n\n\n \n\n## Get started in 30 seconds\n\n```bash\nENCRYPTION_KEY=$(openssl rand -hex 32) docker run -d -p 3000:3000 \\\n -e ENCRYPTION_KEY=$ENCRYPTION_KEY \\\n -v ./data:/app/data -v ./uploads:/app/uploads mauriceboe/trek\n```\n\nOpen `http://localhost:3000`. On first boot TREK seeds an admin account — if you set `ADMIN_EMAIL`/`ADMIN_PASSWORD` those are used, otherwise the credentials are printed to the container log (`docker logs trek`).\n\n
\n\nReal-time sync via WebSocket (`ws`). Backend on NestJS 11. State with Zustand. Auth via JWT + OAuth 2.1 + OIDC + Passkeys (WebAuthn) + TOTP MFA. Weather via Open-Meteo (no key required). Maps with Leaflet and Mapbox GL.\n\n \n\n
Docker Compose (production)
\n\n\nFull compose example with secure defaults\n\n```yaml\nservices:\n app:\n image: mauriceboe/trek:latest\n container_name: trek\n read_only: true\n security_opt:\n - no-new-privileges:true\n cap_drop:\n - ALL\n cap_add:\n - CHOWN\n - SETUID\n - SETGID\n tmpfs:\n - /tmp:noexec,nosuid,size=64m\n ports:\n - \"3000:3000\"\n environment:\n - NODE_ENV=production\n - PORT=3000\n - ENCRYPTION_KEY=${ENCRYPTION_KEY:-} # generate with: openssl rand -hex 32\n - TZ=${TZ:-UTC}\n - LOG_LEVEL=${LOG_LEVEL:-info}\n - ALLOWED_ORIGINS=${ALLOWED_ORIGINS:-}\n - APP_URL=${APP_URL:-} # required for OIDC + email links\n # - FORCE_HTTPS=true # behind a TLS-terminating proxy\n # - TRUST_PROXY=1\n # - OIDC_ISSUER=https://auth.example.com\n # - OIDC_CLIENT_ID=trek\n # - OIDC_CLIENT_SECRET=supersecret\n # - OIDC_DISPLAY_NAME=SSO\n # - OIDC_ADMIN_CLAIM=groups\n # - OIDC_ADMIN_VALUE=app-trek-admins\n volumes:\n - ./data:/app/data\n - ./uploads:/app/uploads\n restart: unless-stopped\n healthcheck:\n test: [\"CMD\", \"wget\", \"-qO-\", \"http://localhost:3000/api/health\"]\n interval: 30s\n timeout: 10s\n retries: 3\n start_period: 15s\n```\n\nThen:\n\n```bash\ndocker compose up -d\n```\n\n**HTTPS notes:** `FORCE_HTTPS=true` is optional — it adds a 301 redirect, HSTS, CSP upgrade-insecure-requests, and forces the `secure` cookie flag. Only use it behind a TLS-terminating reverse proxy. `TRUST_PROXY=1` tells the server how many proxies sit in front so real client IPs and `X-Forwarded-Proto` work.\n\n\n\n \n\n
Helm (Kubernetes)
\n\n```bash\nhelm re",
"manifest_file": "package.json",
"manifest_content": "{\n \"name\": \"@trek/root\",\n \"private\": true,\n \"version\": \"3.1.3\",\n \"workspaces\": [\n \"client\",\n \"server\",\n \"shared\"\n ],\n \"scripts\": {\n \"version:major\": \"npm version major --workspaces --include-workspace-root --no-git-tag-version\",\n \"version:minor\": \"npm version minor --workspaces --include-workspace-root --no-git-tag-version\",\n \"version:patch\": \"npm version patch --workspaces --include-workspace-root --no-git-tag-version\",\n \"version:premajor\": \"npm version premajor --preid=rc --workspaces --include-workspace-root --no-git-tag-version\",\n \"version:preminor\": \"npm version preminor --preid=beta --workspaces --include-workspace-root --no-git-tag-version\",\n \"version:prepatch\": \"npm version prepatch --preid=alpha --workspaces --include-workspace-root --no-git-tag-version\",\n \"version:prerelease\": \"npm version prerelease --preid=pre --workspaces --include-workspace-root --no-git-tag-version\",\n \"dev\": \"npm run build --workspace=shared && concurrently --names shared,server,client \\\"npm run build:watch --workspace=shared\\\" \\\"npm run dev --workspace=server\\\" \\\"npm run dev --workspace=client\\\"\",\n \"build\": \"npm run build --workspace=shared && npm run build --workspace=server && npm run build --workspace=client\",\n \"test\": \"npm run test --workspace=shared && npm run test --workspace=server && npm run test --workspace=client\",\n \"test:cov\": \"npm run test:coverage --workspace=server && npm run test:coverage --workspace=client\",\n \"test:e2e\": \"npm run test:e2e --workspace=server\",\n \"lint\": \"npm run lint --workspace=shared && npm run lint --workspace=server && npm run lint --workspace=client\",\n \"format\": \"npm run format --workspace=shared && npm run format --workspace=server && npm run format --workspace=client\",\n \"format:check\": \"npm run format:check --workspace=shared && npm run format:check --workspace=server && npm run format:check --workspace=client\"\n },\n \"devDependencies\": {\n \"concurrently\": \"^10.0.3\",\n \"unrun\": \"^0.3.1\"\n },\n \"comment:overrides\": \"Force a single React 19 across the workspace so the test renderer (@testing-library/react) and the app share one react-dom.\",\n \"overrides\": {\n \"react\": \"19.2.6\",\n \"react-dom\": \"19.2.6\",\n \"multer\": \"^2.2.0\"\n },\n \"optionalDependencies\": {\n \"@img/sharp-linuxmusl-arm64\": \"0.35.1\",\n \"@img/sharp-linuxmusl-x64\": \"0.35.1\",\n \"@rollup/rollup-linux-arm64-musl\": \"4.62.0\",\n \"@rollup/rollup-linux-x64-musl\": \"4.62.0\"\n }\n}\n",
"strategic_keywords": [
"rag",
"workspace"
],
"relationship_label": "Workspace 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"package.json"
],
"score_breakdown": {
"heat": 20,
"relevance": 16,
"novelty": 4,
"productize": 14,
"adoption": 10,
"relation": 8,
"risk_signal": 6,
"total": 78
},
"strategic_score": 78
},
{
"owner": "kunchenguid",
"name": "no-mistakes",
"full_name": "kunchenguid/no-mistakes",
"url": "https://github.com/kunchenguid/no-mistakes",
"description": "git push no-mistakes",
"language": "Go",
"total_stars": 4046,
"forks": 226,
"stars_this_period": 2229,
"source_slice": "all",
"source_slices": [
"all",
"go"
],
"metadata": {
"topics": [],
"license": "MIT",
"open_issues": 50,
"created_at": "2026-04-05T06:43:05Z",
"pushed_at": "2026-06-28T21:40:22Z",
"homepage": "https://kunchenguid.github.io/no-mistakes/",
"default_branch": "main",
"forks": 226,
"watchers": 9,
"archived": false,
"size_kb": 4450
},
"readme_content": "
\n\n`no-mistakes` puts a local git proxy in front of your real remote.\nPush to `no-mistakes` instead of `origin`, and it spins up a disposable worktree, runs an AI-driven validation pipeline, forwards the branch to the configured push target only after every check passes, and opens a clean PR automatically.\n\n- **Non-blocking** - the pipeline runs in an isolated worktree without disrupting your work.\n- **Agent-agnostic** - `claude`, `codex`, `rovodev`, `opencode`, `pi`, `copilot`, or `acp:` via `acpx`.\n- **Agent-native** - `/no-mistakes` lets your coding agent do a task and gate it, or gate existing committed work: it runs the pipeline, has the pipeline apply safe fixes, and escalates the rest to you.\n- **Human stays in charge** - auto-fix or review findings, your call.\n- **Clean PRs by default** - push, open PR, watch CI, and auto-fix failures in one shot.\n\nFull documentation: \n\n## How it works\n\n```\n your branch\n │ git push no-mistakes\n ▼\n ┌──────────────────────────────────────────────┐\n │ disposable worktree — your work stays put │\n │ review → test → docs → lint → push → PR → CI │\n └──────────────────────────────────────────────┘\n │ every check green\n ▼\n clean PR, opened for you\n```\n\nEach step either passes on its own or stops with a **finding** for you to act on.\nSafe, mechanical fixes are applied automatically; anything that touches your intent is escalated for you to **approve**, **fix**, or **skip**.\nNothing reaches the configured push target until every check is green.\n\n## Install\n\n```sh\ncurl -fsSL https://raw.githubusercontent.com/kunchenguid/no-mistakes/main/docs/install.sh | sh\n```\n\nWindows, Go install, and build-from-source instructions are in the [installation guide](https://kunchenguid.github.io/no-mistakes/start-here/installation/).\n\n## Quick Start\n\n```sh\n$ no-mistakes init\n ✓ Gate initialized\n\n repo /Users/you/src/my-repo\n gate no-mistakes → /Users/you/.no-mistakes/repos/abc123def456.git\n remote git@github.com:you/my-repo.git\n skill /no-mistakes installed for agents at user level\n\n Push through the gate with:\n git push no-mistakes \n\n$ git checkout my-branch\n\n# do some work in the branch...\n\n$ git push no-mistakes\n * Pipeline started\n\n Run no-mistakes to review.\n\n$ no-mistakes\n# opens the TUI for the active run\n```\n\nFor GitHub fork contributions, keep `origin` pointed at the parent repository and initialize with `no-mistakes init --fork-url `.\n\nFrom the TUI you act on each **finding**: **auto-fix** ones are applied for you (or approve to let them), **ask-user** ones are a judgement call you approve, fix, or skip.\nOnce every check is green, the gate forwards your branch to the configured push target and opens the PR for you, so there is no manual `git push origin` and no hand-written PR body.\nPrefer to let your coding agent drive the same flow headlessly?\nUse `/no-mistakes` (see below).\n\n## Three ways to trigger the gate\n\nEvery change runs through the same pipeline. Pick the entry point that fits how you're working when the change is ready:\n\n- **`git push no-mistakes`** - the explicit Git path. Push a committed branch to the gate remote instead of `origin`.\n- **`no-mistakes`** - the TUI. Run it after making changes (no commit needed) and a wizard walks you through creating a branch, committing, and pushing through the gate, then attaches to the run. `no-mistakes -y` does all of that automatically.\n- **`/no-mistakes`** - the agent skill. Tell the coding agent to do a task and gate it with `/no-mistakes `, or use bare `/no-mistakes` to gate existing committed work. It runs the pipeline, has the pipeline apply safe fixes, and stops to ask you about anything that needs a human call.\n\n`no-mistakes init` installs the `/no-mistakes` skill for Claude Code and other agents. Under the hood the skill drives `no-mistakes axi`, a non-interactive TOON interface to the same approval flow.\n\nSee the [quick start](https://kunchenguid.github.io/no-mistakes/start-here/quick-start/) for the full first-run walkthrough.\n\n## Development\n\n```sh\nmake build # Build bin/no-mistakes with version info\nmake test # Run go test -race ./... (excludes the e2e suite)\nmake e2e # Run the tagged end-to-end agent journey suite\nmake e2e-record # Re-record e2e fixtures when agent wire formats change\nmake lint # Check generated skill drift and run go vet ./...\nmake skill # Regenerate committed no-mistakes skill files\nmake fmt # Run gofmt -w .\nmake demo # Regenerate demo.gif and demo.mp4 (needs vhs and ffmpeg)\nmake docs # Build the Astro docs site in docs/dist\n```\n\nSee `Makefile` for the full target list.\n\n`make e2e-record` overwrites `internal/e2e/fixtures/` from the real `claude`, `codex`, and `opencode` CLIs, spends real API quota, and should be reviewed before committing.\n\n## Star History\n\n\n \n \n \n \n \n\n",
"manifest_file": "go.mod",
"manifest_content": "module github.com/kunchenguid/no-mistakes\n\ngo 1.25.0\n\nrequire (\n\tgithub.com/charmbracelet/bubbles v1.0.0\n\tgithub.com/charmbracelet/bubbletea v1.3.10\n\tgithub.com/charmbracelet/lipgloss v1.1.0\n\tgithub.com/mattn/go-isatty v0.0.20\n\tgithub.com/muesli/termenv v0.16.0\n\tgithub.com/oklog/ulid/v2 v2.1.1\n\tgithub.com/spf13/cobra v1.10.2\n\tgithub.com/toon-format/toon-go v0.0.0-20251202084852-7ca0e27c4e8c\n\tgolang.org/x/sys v0.42.0\n\tgopkg.in/yaml.v3 v3.0.1\n\tmodernc.org/sqlite v1.48.1\n)\n\nrequire (\n\tgithub.com/atotto/clipboard v0.1.4 // indirect\n\tgithub.com/aymanbagabas/go-osc52/v2 v2.0.1 // indirect\n\tgithub.com/charmbracelet/colorprofile v0.4.1 // indirect\n\tgithub.com/charmbracelet/x/ansi v0.11.6 // indirect\n\tgithub.com/charmbracelet/x/cellbuf v0.0.15 // indirect\n\tgithub.com/charmbracelet/x/term v0.2.2 // indirect\n\tgithub.com/clipperhouse/displaywidth v0.9.0 // indirect\n\tgithub.com/clipperhouse/stringish v0.1.1 // indirect\n\tgithub.com/clipperhouse/uax29/v2 v2.5.0 // indirect\n\tgithub.com/dustin/go-humanize v1.0.1 // indirect\n\tgithub.com/erikgeiser/coninput v0.0.0-20211004153227-1c3628e74d0f // indirect\n\tgithub.com/google/uuid v1.6.0 // indirect\n\tgithub.com/inconshreveable/mousetrap v1.1.0 // indirect\n\tgithub.com/lucasb-eyer/go-colorful v1.3.0 // indirect\n\tgithub.com/mattn/go-localereader v0.0.1 // indirect\n\tgithub.com/mattn/go-runewidth v0.0.19 // indirect\n\tgithub.com/muesli/ansi v0.0.0-20230316100256-276c6243b2f6 // indirect\n\tgithub.com/muesli/cancelreader v0.2.2 // indirect\n\tgithub.com/ncruces/go-strftime v1.0.0 // indirect\n\tgithub.com/remyoudompheng/bigfft v0.0.0-20230129092748-24d4a6f8daec // indirect\n\tgithub.com/rivo/uniseg v0.4.7 // indirect\n\tgithub.com/spf13/pflag v1.0.9 // indirect\n\tgithub.com/xo/terminfo v0.0.0-20220910002029-abceb7e1c41e // indirect\n\tgolang.org/x/text v0.3.8 // indirect\n\tmodernc.org/libc v1.70.0 // indirect\n\tmodernc.org/mathutil v1.7.1 // indirect\n\tmodernc.org/memory v1.11.0 // indirect\n)\n",
"strategic_keywords": [
"agent",
"agents",
"skill",
"workflow"
],
"relationship_label": "Skill 来源",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"go.mod"
],
"score_breakdown": {
"heat": 20,
"relevance": 20,
"novelty": 4,
"productize": 14,
"adoption": 10,
"relation": 10,
"risk_signal": 6,
"total": 84
},
"strategic_score": 84
},
{
"owner": "NanmiCoder",
"name": "MediaCrawler",
"full_name": "NanmiCoder/MediaCrawler",
"url": "https://github.com/NanmiCoder/MediaCrawler",
"description": "小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 ｜ 评论爬虫、微博帖子 ｜ 评论爬虫、百度贴吧帖子 ｜ 百度贴吧评论回复爬虫 | 知乎问答文章｜评论爬虫",
"language": "Python",
"total_stars": 54012,
"forks": 11035,
"stars_this_period": 2225,
"source_slice": "all",
"source_slices": [
"all",
"python"
],
"metadata": {
"topics": [],
"license": "NOASSERTION",
"open_issues": 178,
"created_at": "2023-06-09T12:14:34Z",
"pushed_at": "2026-06-18T09:22:51Z",
"homepage": "https://nanmicoder.github.io/MediaCrawler/",
"default_branch": "main",
"forks": 11035,
"watchers": 228,
"archived": false,
"size_kb": 29212
},
"readme_content": "# 🔥 MediaCrawler - 自媒体平台爬虫 🕷️\n\n
\n An in-process SQL database, compatible with SQLite.\n
\n\n
\n \n \n \n \n \n \n \n \n \n \n \n
\n
\n \n
\n
\n \n
\n\n---\n\n## About\n\nTurso Database is an in-process SQL database written in Rust, compatible with SQLite.\n\n> **⚠️ Warning:** This software is in BETA. It may still contain bugs and unexpected behavior. Use caution with production data and ensure you have backups.\n\n## Features and Roadmap\n\n* **SQLite compatibility** for SQL dialect, file formats, and the C API [see [document](COMPAT.md) for details]\n* **`BEGIN CONCURRENT`** for improved write throughput using multi-version concurrency control (MVCC).\n* **Change data capture (CDC)** for real-time tracking of database changes.\n* **Multi-language support** for\n * [Go](bindings/go)\n * [JavaScript](bindings/javascript)\n * [Java](bindings/java)\n * [.NET](bindings/dotnet)\n * [Python](bindings/python)\n * [Rust](bindings/rust)\n * [WebAssembly](bindings/javascript)\n* **Asynchronous I/O** support on Linux with `io_uring`\n* **Cross-platform** support for Linux, macOS, Windows and browsers (through WebAssembly)\n* **Vector support** support including exact search and vector manipulation\n* **Improved schema management** including extended `ALTER` support and faster schema changes.\n\nThe database has the following experimental features:\n\n* **Encryption at rest** for protecting the data locally.\n* **Incremental computation** using DBSP for incremental view maintenance and query subscriptions.\n* **Full-Text-Search** powered by the awesome [tantivy](https://github.com/quickwit-oss/tantivy) library\n* **Multi-process WAL coordination** via the `.tshm` sidecar for cross-process WAL readers and writers.\n\nThe following features are on our current roadmap:\n\n* **Vector indexing** for fast approximate vector search, similar to [libSQL vector search](https://turso.tech/vector).\n\n## Getting Started\n\nPlease see the [Turso Database Manual](docs/manual.md) for more information.\n\n\n💻 Command Line\n \nYou can install the latest `turso` release with:\n\n```shell\ncurl --proto '=https' --tlsv1.2 -LsSf \\\n https://github.com/tursodatabase/turso/releases/latest/download/turso_cli-installer.sh | sh\n```\n\nThen launch the interactive shell:\n\n```shell\n$ tursodb\n```\n\nThis will start the Turso interactive shell where you can execute SQL statements:\n\n```console\nTurso\nEnter \".help\" for usage hints.\nConnected to a transient in-memory database.\nUse \".open FILENAME\" to reopen on a persistent database\nturso> CREATE TABLE users (id INT, username TEXT);\nturso> INSERT INTO users VALUES (1, 'alice');\nturso> INSERT INTO users VALUES (2, 'bob');\nturso> SELECT * FROM users;\n1|alice\n2|bob\n```\n\nYou can also build and run the latest development version with:\n\n```shell\ncargo run\n```\n\nIf you like docker, we got you covered. Simply run this in the root folder:\n\n```bash\nmake docker-cli-build && \\\nmake docker-cli-run\n```\n\n\n\n\n🦀 Rust\n \n\n```console\ncargo add turso\n```\n\nExample usage:\n\n```rust\nlet db = Builder::new_local(\"sqlite.db\").build().await?;\nlet conn = db.connect()?;\n\nlet res = conn.query(\"SELECT * FROM users\", ()).await?;\n```\n\n\n\n✨ JavaScript\n \n\n```console\nnpm i @tursodatabase/database\n```\n\nExample usage:\n\n```js\nimport { connect } from '@tursodatabase/database';\n\nconst db = await connect('sqlite.db');\nconst stmt = db.prepare('SELECT * FROM users');\nconst users = stmt.all();\nconsole.log(users);\n```\n\n\n\n🐍 Python\n \n\n```console\nuv pip install pyturso\n```\n\nExample usage:\n\n```python\nimport turso\n\ncon = turso.connect(\"sqlite.db\")\ncur = con.cursor()\nres = cur.execute(\"SELECT * FROM users\")\nprint(res.fetchone())\n```\n\n\n\n🦫 Go\n \n\n```console\ngo get turso.tech/database/tursogo\ngo install turso.tech/database/tursogo\n```\n\nExample usage:\n```go\nimport (\n \"database/sql\"\n _ \"turso.tech/database/tursogo\"\n)\n\nconn, _ = sql.Open(\"turso\", \"sqlite.db\")\ndefer conn.Close()\n\nstmt, _ := conn.Prepare(\"select * from users\")\ndefer stmt.Close()\n\nrows, _ = stmt.Query()\nfor rows.Next() {\n var id int\n var username string\n rows.Scan(&id, &username)\n fmt.Printf(\"User: ID: %d, Username: %s\\n\", id, username)\n}\n```\n\n\n\n\n\n️#️⃣ .NET\n \n\nExample usage:\n```cs\nusing Turso;\n\nusing var connection = new TursoConnection(\"Data Source=:memory:\");\nconnection.Open();\n\nconnection.ExecuteNonQuery(\"CREATE TABLE t(a, b)\");\nvar rowsAffected = connection.ExecuteNonQuery(\"INSERT INTO t(a, b) VALUES (1, 2), (3, 4)\");\nConsole.WriteLine($\"RowsAffected: {rowsAffected}\");\n\nusing var command = connection.CreateCommand();\ncommand.CommandText = \"SELECT * FROM t\";\nusing var reader = command.ExecuteReader();\nwhile (reader.Read())\n{\n var a = reader.GetInt32(0);\n var b = reader.GetInt32(1);\n Console.WriteLine($\"Value1: {a}, Value2: {b}\");\n}\n```\n\n\n\n\n\n☕️ Java\n \n\nWe integrated Turso Database into JDBC. For detailed instructions on how to use Turso Database with java, please refer to\nthe [README.md under bindings/java](bindings/java/README.md).\n\n\n\n🤖 MCP Server Mode\n \n\n\nThe Turso CLI includes a built-in [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server that allows AI assistants to interact with your databases.\n\nStart the MCP server with:\n\n```shell\ntursodb your_database.db --mcp\n```\n\n### Configuration\n\nAdd Turso to your MCP client configuration:\n\n```json\n{\n \"mcpServers\": {\n \"turso\": {\n \"command\": \"/path/to/.turso/tursodb\",\n \"args\": [\"/path/to/your/database.db\", \"--mcp\"]\n }\n }\n}\n```\n\n### Available Tools\n\nThe MCP server provides nine tools for database interaction:\n\n1. **`open_database`** - Open a new database\n2. **`current_database`** - Describe the current database\n3. **`list_tables`** - List all tables in the database\n4. **`describe_table`** - Describe the structure of a specific table\n5. **`execute_query`** - Execute read-only SELECT queries\n6. **`insert_data`** - Insert new data into tables\n7. **`update_data`** - Update existing data in tables\n8. **`delete_data`** - Delete data from tables\n9. **`schema_change`** - Execute schema modification statements (CREATE TABLE, ALTER TABLE, DROP TABLE)\n\nOnce connected, you can ask your AI assistant:\n\n- \"Show me all tables in the database\"\n- \"What's the schema for the users table?\"\n- \"Find all posts with more than 100 upvotes\"\n- \"Insert a new user with name 'Alice' and email 'alice@example.com'\"\n\n### MCP Clients\n\n\nClaude Code\n\nIf you're using [Claude Code](https://claude.ai/code), you can easily connect to your Turso MCP server using the built-in MCP management commands:\n\n#### Quick Setup\n\n1. **Add the MCP server** to Claude Code:\n\n ```bash\n claude mcp add my-database -- tursodb ./path/to/your/database.db --mcp\n ```\n\n2. **Restart Claude Code** to activate the connection\n\n3. **Start querying** your database through natural language!\n\n#### Command Breakdown\n\n```bash\nclaude mcp add my-database -- tursodb ./path/to/your/database.db --mcp\n# ↑ ↑ ↑ ↑\n# | | | |\n# Name | Database path MCP flag\n# Separator\n```\n\n- **`my-database`** - Choose any name for your MCP server\n- **`--`** - Required separator between Claude options and your command\n- **`tursodb`** - The Turso database CLI\n- **`./path/to/your/database.db`** - Path to your SQLite database file\n- **`--mcp`** - Enables MCP server mode\n\n#### Example Usage\n\n```bash\n# For a local project database\ncd /your/project\nclaude mcp add my-project-db -- tursodb ./data/app.db --mcp\n\n# For an absolute path\nclaude mcp add analytics-db -- tursodb /Users/you/databases/analytics.db --mcp\n\n# For a specific project (local scope)\nclaude mcp add project-db --local -- tursodb ./database.db --mcp\n```\n\n#### Managing MCP Servers\n\n```bash\n# List all configured MCP servers\nclaude mcp list\n\n# Get details about a specific server\nclaude mcp get my-database\n\n# Remove an MCP server\nclaude mcp remove my-database\n```\n\n\n\n\nClaude Desktop\n\nFor Claude Desktop, add the configuration to your `claude_desktop_config.json` file:\n\n```json\n{\n \"mcpServers\": {\n \"turso\": {\n \"command\": \"/path/to/.turso/tursodb\",\n \"args\": [\"./path/to/your/database.db\", \"--mcp\"]\n }\n }\n}\n```\n\n\n\n\nCursor\n\nFor Cursor, configure MCP in your settings:\n\n1. Open Cursor settings\n2. Navigate to Extensions → MCP\n3. Add a new server with:\n - **Name**: `turso`\n - **Command**: `/path/to/.turso/tursodb`\n - **Args**: `[\"./path/to/your/database.db\", \"--mcp\"]`\n\nAlternatively, you can add it to your Cursor configuration file directly.\n\n\n\n### Direct JSON-RPC Usage\n\nThe MCP server runs as a single process that handles multiple JSON-RPC requests over stdin/stdout. Here's how to interact with it directly:\n\n#### Example with In-Memory Database\n\n```bash\ncat << 'EOF' | tursodb --mcp\n{\"jsonrpc\": \"2.0\", \"id\": 1, \"method\": \"initialize\", \"params\": {\"protocolVersion\": \"2024-11-05\", \"capabilities\": {}, \"clientInfo\": {\"name\": \"client\", \"version\": \"1.0\"}}}\n{\"jsonrpc\": \"2.0\", \"id\": 2, \"method\": \"tools/call\", \"params\": {\"name\": \"sc",
"manifest_file": "Cargo.toml",
"manifest_content": "# Copyright 2023-2026 the Turso authors. All rights reserved. MIT license.\n\n[workspace]\nresolver = \"2\"\nmembers = [\n \"bindings/java\",\n \"bindings/javascript\",\n \"bindings/javascript/sync\",\n \"bindings/python\",\n \"bindings/rust\",\n \"cli\",\n \"core\",\n \"extensions/completion\",\n \"extensions/core\",\n \"extensions/crypto\",\n \"extensions/csv\",\n \"extensions/ipaddr\",\n \"extensions/regexp\",\n \"extensions/tests\",\n \"extensions/fuzzy\",\n \"macros\",\n \"testing/simulator\",\n \"bindings/c\",\n \"testing/stress\",\n \"testing/sqlite_test_ext\",\n \"tests\",\n \"sqlite/parser\",\n \"sync/engine\",\n \"sync/sdk-kit\",\n \"sql_generation\",\n \"testing/concurrent-simulator\",\n \"perf/throughput/turso\",\n \"perf/throughput/rusqlite\",\n \"perf/encryption\",\n \"perf/memory\",\n \"perf/memory/codspeed\",\n \"perf/query-batch\",\n \"tools/dbhash\",\n \"sdk-kit\",\n \"sdk-kit-macros\",\n \"testing/differential-oracle/sql_gen_prop\",\n \"testing/differential-oracle/sql_gen\",\n \"testing/differential-oracle/fuzzer\",\n \"testing/sqltests\"\n]\nexclude = [\"perf/latency/limbo\"]\n\ndefault-members = [\n \"bindings/java\",\n \"bindings/javascript\",\n \"bindings/javascript/sync\",\n \"bindings/python\",\n \"bindings/rust\",\n \"cli\",\n \"core\",\n \"extensions/completion\",\n \"extensions/core\",\n \"extensions/crypto\",\n \"extensions/csv\",\n \"extensions/ipaddr\",\n \"extensions/regexp\",\n \"extensions/tests\",\n \"extensions/fuzzy\",\n \"macros\",\n \"testing/simulator\",\n \"bindings/c\",\n \"testing/stress\",\n \"testing/sqlite_test_ext\",\n \"tests\",\n \"sqlite/parser\",\n \"sync/engine\",\n \"sync/sdk-kit\",\n \"sql_generation\",\n \"testing/concurrent-simulator\",\n \"perf/throughput/turso\",\n \"perf/throughput/rusqlite\",\n \"perf/encryption\",\n \"tools/dbhash\",\n \"sdk-kit\",\n \"sdk-kit-macros\",\n \"testing/differential-oracle/sql_gen_prop\",\n \"testing/differential-oracle/sql_gen\",\n \"testing/differential-oracle/fuzzer\",\n \"testing/sqltests\"\n]\n\n[workspace.package]\nversion = \"0.7.0-pre.13\"\nauthors = [\"the Turso authors\"]\nedition = \"2021\"\nlicense = \"MIT\"\nrepository = \"https://github.com/tursodatabase/turso\"\n\n[workspace.dependencies]\nturso = { path = \"bindings/rust\", version = \"0.7.0-pre.13\" }\nturso_node = { path = \"bindings/javascript\", version = \"0.7.0-pre.13\" }\nturso_sdk_kit = { path = \"sdk-kit\", version = \"0.7.0-pre.13\" }\nturso_sdk_kit_macros = { path = \"sdk-kit-macros\", version = \"0.7.0-pre.13\" }\nturso_sync_sdk_kit = { path = \"sync/sdk-kit\", version = \"0.7.0-pre.13\" }\nlimbo_completion = { path = \"extensions/completion\", version = \"0.7.0-pre.13\" }\nturso_core = { path = \"core\", version = \"0.7.0-pre.13\" }\nturso_sync_engine = { path = \"sync/engine\", version = \"0.7.0-pre.13\" }\nturso_ext = { path = \"extensions/core\", version = \"0.7.0-pre.13\" }\nturso_macros = { path = \"macros\", version = \"0.7.0-pre.13\" }\nturso_parser = { path = \"sqlite/parser\", version = \"0.7.0-pre.13\" }\nsql_generation = { path = \"sql_generation\" }\nturso-dbhash = { path = \"tools/dbhash\" }\nstrum = { version = \"0.26\", features = [\"derive\"] }\nstrum_macros = \"0.26\"\nserde = \"1.0\"\nserde_json = \"1.0\"\nanyhow = \"1.0.98\"\nmimalloc = { version = \"0.1.47\", default-features = false }\nrusqlite = { version = \"0.37.0\", features = [\"bundled\"] }\nitertools = \"0.14.0\"\nrand = \"0.9.2\"\nrand_chacha = \"0.9.0\"\ntracing = \"0.1.41\"\nschemars = \"1.0.4\"\ngarde = \"0.22\"\nparking_lot = \"0.12.4\"\ntokio = { version = \"1.0\", default-features = false }\ntracing-subscriber = \"0.3.20\"\nfutures = \"0.3\"\nclap = \"4.5.47\"\nthiserror = \"2.0.16\"\ntempfile = \"3.20.0\"\nindexmap = \"2.11.1\"\nindicatif = \"0.17\"\nmiette = \"7.6.0\"\nbitflags = \"2.9.4\"\nfallible-iterator = \"0.3.0\"\nallocator-api2 = \"0.4\"\n\ncriterion = \"0.5.0\"\ncodspeed-criterion-compat = \"4.2.1\"\ndivan = { package = \"codspeed-divan-compat\", version = \"4.2.1\" }\n\nchrono = { version = \"0.4.42\", default-features = false }\nhex = \"0.4\"\nantithesis_sdk = { version = \"0.2\", default-features = false }\ncfg-if = \"1.0.0\"\ntracing-appender = \"0.2.3\"\nenv_logger = { version = \"0.11.6\", default-features = false }\nregex = \"1.11.1\"\nregex-syntax = { version = \"0.8.5\", default-features = false }\nsimilar = { version = \"2.7.0\" }\nsimilar-asserts = { version = \"1.7.0\" }\nbitmaps = { version = \"3.2.1\", default-features = false }\nconsole-subscriber = { version = \"0.4.1\" }\neither = { version = \"1.15\" }\n\n# Multi threading testing\nloom = { version = \"0.7\" }\nshuttle = { version = \"0.8.1\" }\n\n[profile.dev.package.similar]\nopt-level = 3\n\n[profile.release]\ndebug = \"line-tables-only\"\ncodegen-units = 4\npanic = \"abort\"\nlto = \"thin\"\n\n# Official release profile - maximum optimization for published binaries\n# Use for CLI releases, PyPI, npm, Maven, NuGet, etc.\n[profile.release-official]\ninherits = \"release\"\ncodegen-units = 1\nlto = true\n\n# override settings for sdk-kit release profiles in order to reduce size of produced binaries\n# otherwise, some platforms will have enormous libs (150MB+)\n[profile.lib-release]\ninherits = \"release\"\ndebug = false\ncodegen-units = 16",
"strategic_keywords": [
"memory",
"workspace",
"workflow",
"vector"
],
"relationship_label": "Memory 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"Cargo.toml"
],
"score_breakdown": {
"heat": 20,
"relevance": 20,
"novelty": 11,
"productize": 11,
"adoption": 10,
"relation": 10,
"risk_signal": 8,
"total": 90
},
"strategic_score": 90
},
{
"owner": "simplex-chat",
"name": "simplex-chat",
"full_name": "simplex-chat/simplex-chat",
"url": "https://github.com/simplex-chat/simplex-chat",
"description": "SimpleX - the first messaging network operating without user identifiers of any kind - 100% private by design! iOS, Android and desktop apps 📱!",
"language": "Haskell",
"total_stars": 14924,
"forks": 863,
"stars_this_period": 1973,
"source_slice": "all",
"source_slices": [
"all"
],
"metadata": {
"topics": [
"chat",
"double-ratchet",
"e2ee",
"encryption",
"haskell",
"messaging",
"privacy",
"protocol",
"security"
],
"license": "AGPL-3.0",
"open_issues": 1148,
"created_at": "2019-12-21T09:50:09Z",
"pushed_at": "2026-06-28T22:11:16Z",
"homepage": "https://simplex.chat",
"default_branch": "stable",
"forks": 863,
"watchers": 116,
"archived": false,
"size_kb": 418698
},
"readme_content": "[](https://github.com/simplex-chat/simplex-chat/actions/workflows/build.yml)\n[](https://github.com/simplex-chat/simplex-chat/releases)\n[](https://github.com/simplex-chat/simplex-chat/releases)\n[](https://www.reddit.com/r/SimpleXChat)\n\n\n| 30/03/2023 | EN, [FR](/docs/lang/fr/README.md), [CZ](/docs/lang/cs/README.md), [PL](/docs/lang/pl/README.md) |\n\n\n\n# SimpleX - the first messaging platform that has no user identifiers of any kind - 100% private by design!\n\n[](http://simplex.chat/blog/20221108-simplex-chat-v4.2-security-audit-new-website.html) [](https://www.privacyguides.org/en/real-time-communication/#simplex-chat) [](https://www.whonix.org/wiki/Chat#Recommendation) [](https://www.kuketz-blog.de/simplex-eindruecke-vom-messenger-ohne-identifier/)\n\n**[Why we are building SimpleX Network](./docs/WHY.md)**\n\n## Welcome to SimpleX Chat!\n\n1. 📲 [Install the app](#install-the-app).\n2. ↔️ [Connect to the team](#connect-to-the-team), [join user groups](#join-user-groups) and [follow our updates](#follow-our-updates).\n3. 🤝 [Make a private connection](#make-a-private-connection) with a friend.\n4. 🔤 [Help translating SimpleX Chat](#help-translating-simplex-chat).\n5. ⚡️ [Contribute](#contribute) and [support us with donations](#please-support-us-with-your-donations).\n\n[Learn more about SimpleX Chat](#contents).\n\n## Install the app\n\n[](https://apps.apple.com/us/app/simplex-chat/id1605771084)\n \n[](https://play.google.com/store/apps/details?id=chat.simplex.app)\n \n[](https://app.simplex.chat)\n \n[](https://testflight.apple.com/join/DWuT2LQu)\n \n[](https://github.com/simplex-chat/simplex-chat/releases/latest/download/simplex-aarch64.apk)\n\n- 🖲 Protects your messages and metadata - who you talk to and when.\n- 🔐 Double ratchet end-to-end encryption, with additional encryption layer.\n- 📱 Mobile apps for Android ([Google Play](https://play.google.com/store/apps/details?id=chat.simplex.app), [APK](https://github.com/simplex-chat/simplex-chat/releases/latest/download/simplex-aarch64.apk)) and [iOS](https://apps.apple.com/us/app/simplex-chat/id1605771084).\n- 🚀 [TestFlight preview for iOS](https://testflight.apple.com/join/DWuT2LQu) with the new features 1-2 weeks earlier - **limited to 10,000 users**!\n- 🖥 Available as a terminal (console) [app / CLI](#zap-quick-installation-of-a-terminal-app) on Linux, MacOS, Windows.\n\n## Connect to the team\n\nYou can connect to the team via the app using \"chat with the developers button\" available when you have no conversations in the profile, \"Send questions and ideas\" in the app settings or via our [SimpleX address](https://smp6.simplex.im/a#lrdvu2d8A1GumSmoKb2krQmtKhWXq-tyGpHuM7aMwsw). Please connect to:\n\n- to ask any questions\n- to suggest any improvements\n- to share anything relevant\n\nWe are replying the questions manually, so it is not instant – it can take up to 24 hours.\n\nIf you are interested in helping us to integrate open-source language models, and in [joining our team](./docs/JOIN_TEAM.md), please get in touch.\n\n## Join user groups\n\nYou can find the groups created by users in [SimpleX Directory](https://simplex.chat/directory/). It is also available as [SimpleX bot](https://smp4.simplex.im/a#lXUjJW5vHYQzoLYgmi8GbxkGP41_kjefFvBrdwg-0Ok) that allows to add your own groups and communities to the directory. We are not responsible for the content shared in these groups.\n\n**Please note**: The groups below are created for the users to be able to ask questions, make suggestions and ask questions about SimpleX Chat only.\n\nYou can join an English-speaking users group if you want to ask any questions: [#SimpleX users group](https://smp4.simplex.im/g#hr4lvFeBmndWMKTwqiodPz3VBo_6UmdGWocXd1SupsM)\n\nThere is also a group [#simplex-devs](https://smp6.simplex.im/g#Drx3efC-n418AuSpzTspw9SER0iJwrQTmKBafQHwkKM) for developers who build on SimpleX platform:\n\n- chat bots and automations\n- integrations with other apps\n- social apps and services\n- etc.\n\nYou can join these and other groups by opening these links in the app or by opening them in a desktop browser and scanning the QR code.\n\n## Follow our updates\n\nWe publish our updates and releases via:\n\n- [Reddit](https://www.reddit.com/r/SimpleXChat/), [Twitter](https://twitter.com/SimpleXChat), [Lemmy](https://lemmy.ml/c/simplex), [Mastodon](https://mastodon.social/@simplex) and [Nostr](https://snort.social/p/npub1exv22uulqnmlluszc4yk92jhs2e5ajcs6mu3t00a6avzjcalj9csm7d828).\n- SimpleX Chat [team profile](#connect-to-the-team).\n- [blog](https://simplex.chat/blog/) and [RSS feed](https://simplex.chat/feed.rss).\n- [mailing list](https://simplex.chat/#join-simplex), very rarely.\n\n## Make a private connection\n\nYou need to share a link with your friend or scan a QR code from their phone, in person or during a video call, to make a connection and start messaging.\n\nThe channel through which you share the link does not have to be secure - it is enough that you can confirm who sent you the message and that your SimpleX connection is established.\n\n\n\nAfter you connect, you can [verify connection security code](./blog/20230103-simplex-chat-v4.4-disappearing-messages.md#connection-security-verification).\n\n## User guide (NEW)\n\nRead about the app features and settings in the new [User guide](./docs/guide/README.md).\n\n## Contribute\n\nWe would love to have you join the development! You can help us with:\n\n- [develop a chat bot](#develop-a-chat-bot) for SimpleX Chat!\n- writing a tutorial or recipes about hosting servers, chat bots, etc.\n- developing features - please connect to us via chat so we can help you get started.\n\n## Help translating SimpleX Chat\n\nThanks to our users and [Weblate](https://hosted.weblate.org/engage/simplex-chat/), SimpleX Chat apps, website and documents are translated to many other languages.\n\nJoin our translators to help SimpleX grow!\n\n|locale|language |contributor|[Android](https://play.google.com/store/apps/details?id=chat.simplex.app) and [iOS](https://apps.apple.com/us/app/simplex-chat/id1605771084)|[website](https://simplex.chat)|Github docs|\n|:----:|:-------:|:---------:|:---------:|:---------:|:---------:|\n|🇬🇧 en|English | |✓|✓|✓|✓|\n|ar|العربية |[jermanuts](https://github.com/jermanuts)|[](https://hosted.weblate.org/projects/simplex-chat/android/ar/) -|[](https://hosted.weblate.org/projects/simplex-chat/website/ar/)||\n|🇧🇬 bg|Български | |[](https://hosted.weblate.org/projects/simplex-chat/android/bg/) [](https://hosted.weblate.org/projects/simplex-chat/ios/bg/)|||\n|🇨🇿 cs|Čeština |[zen0bit](https://github.com/zen0bit)|[](https://hosted.weblate.org/projects/simplex-chat/android/cs/) [](https://hosted.weblate.org/projects/simplex-chat/ios/cs/)|[](https://hosted.weblate.org/projects/simplex-chat/website/cs/)|[✓](https://github.com/simplex-chat/simplex-chat/tree/master/docs/lang/cs)|\n|🇩🇪 de|Deutsch |[mlanp](https://github.com/mlanp)|[](https://hosted.weblate.org/projects/simplex-chat/android/de/) [](https://hosted.weblate.org/projects/simplex-chat/ios/de/)|[](https://hosted.weblate.org/projects/simplex-chat/website/de/)||\n|🇪🇸 es|Español |[Mateyhv](https://github.com/Mateyhv)|[](https://hosted.weblate.org/projects/simplex-chat/android/es/) [](https://hosted.weblate.org/projects/simplex-chat/ios/es/)|[](https://hosted.weblate.org/projects/simplex-chat/website/es/)||\n|🇫🇮 fi|Suomi | |[](https://hosted.weblate.org/projects/simplex-chat/android/fi/) [](https://hosted.weblate.org/projects/simplex-chat/ios/fi/)|[](https://hosted.weblate.org/projects/simplex-chat/website/fi/)||\n|🇫🇷 fr|Français |[ishi_sama](https://github.com/ishi-sama)|[](https://hosted.weblate.org/projects/simplex-chat/android/fr/) [](https://hosted.weblate.org/projects/simplex-chat/ios/fr/)|[](https://hosted.weblate.org/projects/simplex-chat/website/fr/)|[✓](https://github.com/simplex-chat/simplex-chat/tree/master/docs/lang/fr)|\n|🇮🇱 he|עִברִית | |[](https://hosted.weblate.org/projects/simplex-chat/android/he/) -|||\n|🇭🇺 hu|Magyar | |[](https://hosted.webl",
"strategic_keywords": [
"workflow",
"protocol"
],
"relationship_label": "Workspace 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme"
],
"score_breakdown": {
"heat": 20,
"relevance": 14,
"novelty": 15,
"productize": 14,
"adoption": 8,
"relation": 8,
"risk_signal": 8,
"total": 87
},
"strategic_score": 87
},
{
"owner": "googleworkspace",
"name": "cli",
"full_name": "googleworkspace/cli",
"url": "https://github.com/googleworkspace/cli",
"description": "Google Workspace CLI — one command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discovery Service. Includes AI agent skills.",
"language": "Rust",
"total_stars": 29072,
"forks": 1648,
"stars_this_period": 1848,
"source_slice": "rust",
"source_slices": [
"rust"
],
"metadata": {
"topics": [
"agent-skills",
"ai-agent",
"automation",
"cli",
"discovery-api",
"gemini-cli-extension",
"google-admin",
"google-api",
"google-calendar",
"google-chat",
"google-docs",
"google-drive",
"google-sheets",
"google-workspace",
"oauth2",
"rust"
],
"license": "Apache-2.0",
"open_issues": 124,
"created_at": "2026-03-02T19:46:06Z",
"pushed_at": "2026-06-28T22:24:16Z",
"homepage": "https://developers.google.com/workspace",
"default_branch": "main",
"forks": 1648,
"watchers": 94,
"archived": false,
"size_kb": 10749
},
"readme_content": "
gws
\n\n**One CLI for all of Google Workspace — built for humans and AI agents.** \nDrive, Gmail, Calendar, and every Workspace API. Zero boilerplate. Structured JSON output. 40+ agent skills included.\n\n> [!NOTE]\n> This is **not** an officially supported Google product.\n\n
\n \n \n \n \n
\n \n\n⬇️ **[Download the latest release for your OS](https://github.com/googleworkspace/cli/releases)**\n\n`gws` doesn't ship a static list of commands. It reads Google's own [Discovery Service](https://developers.google.com/discovery) at runtime and builds its entire command surface dynamically. When Google Workspace adds an API endpoint or method, `gws` picks it up automatically.\n\n> [!IMPORTANT]\n> This project is under active development. Expect breaking changes as we march toward v1.0.\n\n## Contents\n\n- [Prerequisites](#prerequisites)\n- [Installation](#installation)\n- [Quick Start](#quick-start)\n- [Why gws?](#why-gws)\n- [Authentication](#authentication)\n- [AI Agent Skills](#ai-agent-skills)\n- [Advanced Usage](#advanced-usage)\n- [Environment Variables](#environment-variables)\n- [Exit Codes](#exit-codes)\n- [Architecture](#architecture)\n- [Troubleshooting](#troubleshooting)\n- [Development](#development)\n\n## Prerequisites\n\n- **Node.js 18+** — for `npm install` (or download a pre-built binary from [GitHub Releases](https://github.com/googleworkspace/cli/releases))\n- **A Google Cloud project** — required for OAuth credentials. You can create one via the [Google Cloud Console](https://console.cloud.google.com/) or with the [`gcloud` CLI](https://cloud.google.com/sdk/docs/install) or with the `gws auth setup` command.\n- **A Google account** with access to Google Workspace\n\n## Installation\n\nThe recommended way to install `gws` is to download the pre-built binary for your OS and architecture from the **[GitHub Releases](https://github.com/googleworkspace/cli/releases)** page. Extract the archive and place the `gws` binary in your `$PATH`.\n\nFor convenience, you can also use `npm` to automate downloading the appropriate binary from GitHub Releases:\n\n```bash\nnpm install -g @googleworkspace/cli\n```\n\nOr build from source:\n\n```bash\ncargo install --git https://github.com/googleworkspace/cli --locked\n```\n\nA Nix flake is also available at `github:googleworkspace/cli`\n\n```bash\nnix run github:googleworkspace/cli\n```\n\nOn macOS and Linux, you can also install via [Homebrew](https://brew.sh/):\n\n```bash\nbrew install googleworkspace-cli\n```\n\n## Quick Start\n\n```bash\ngws auth setup # walks you through Google Cloud project config\ngws auth login # subsequent OAuth login\ngws drive files list --params '{\"pageSize\": 5}'\n```\n\n## Why gws?\n\n**For humans** — stop writing `curl` calls against REST docs. `gws` gives you `--help` on every resource, `--dry-run` to preview requests, and auto‑pagination.\n\n**For AI agents** — every response is structured JSON. Pair it with the included agent skills and your LLM can manage Workspace without custom tooling.\n\n```bash\n# List the 10 most recent files\ngws drive files list --params '{\"pageSize\": 10}'\n\n# Create a spreadsheet\ngws sheets spreadsheets create --json '{\"properties\": {\"title\": \"Q1 Budget\"}}'\n\n# Send a Chat message\ngws chat spaces messages create \\\n --params '{\"parent\": \"spaces/xyz\"}' \\\n --json '{\"text\": \"Deploy complete.\"}' \\\n --dry-run\n\n# Introspect any method's request/response schema\ngws schema drive.files.list\n\n# Stream paginated results as NDJSON\ngws drive files list --params '{\"pageSize\": 100}' --page-all | jq -r '.files[].name'\n```\n\n## Authentication\n\nThe CLI supports multiple auth workflows so it works on your laptop, in CI, and on a server.\n\n### Which setup should I use?\n\n| I have… | Use |\n|---|---|\n| `gcloud` installed and authenticated | [`gws auth setup`](#interactive-local-desktop) (fastest) |\n| A GCP project but no `gcloud` | [Manual OAuth setup](#manual-oauth-setup-google-cloud-console) |\n| An existing OAuth access token | [`GOOGLE_WORKSPACE_CLI_TOKEN`](#pre-obtained-access-token) |\n| Existing Credentials | [`GOOGLE_WORKSPACE_CLI_CREDENTIALS_FILE`](#service-account-server-to-server) |\n\n### Interactive (local desktop)\n\nCredentials are encrypted at rest (AES-256-GCM) with the key stored in your OS keyring (or `~/.config/gws/.encryption_key` when `GOOGLE_WORKSPACE_CLI_KEYRING_BACKEND=file`).\n\n```bash\ngws auth setup # one-time: creates a Cloud project, enables APIs, logs you in\ngws auth login # subsequent scope selection and login\n```\n\n> `gws auth setup` requires the [`gcloud` CLI](https://cloud.google.com/sdk/docs/install). If you don't have `gcloud`, use the [manual setup](#manual-oauth-setup-google-cloud-console) below instead.\n\n> [!WARNING]\n> **Scope limits in testing mode:** If your OAuth app is unverified (testing mode),\n> Google limits consent to ~25 scopes. The `recommended` scope preset includes 85+\n> scopes and **will fail** for unverified apps (especially for `@gmail.com` accounts).\n> Choose individual services instead to filter the scope picker:\n> ```bash\n> gws auth login -s drive,gmail,sheets\n> ```\n\n\n### Manual OAuth setup (Google Cloud Console)\n\nUse this when `gws auth setup` cannot automate project/client creation, or when you want explicit control.\n\n1. Open Google Cloud Console in the target project:\n - OAuth consent screen: `https://console.cloud.google.com/apis/credentials/consent?project=`\n - Credentials: `https://console.cloud.google.com/apis/credentials?project=`\n2. Configure OAuth branding/audience if prompted:\n - App type: **External** (testing mode is fine)\n3. Add your account under **Test users**\n4. Create an OAuth client:\n - Type: **Desktop app**\n5. Download the client JSON and save it to:\n - `~/.config/gws/client_secret.json`\n\n> [!IMPORTANT]\n> **You must add yourself as a test user.** In the OAuth consent screen, click\n> **Test users → Add users** and enter your Google account email. Without this,\n> login will fail with a generic \"Access blocked\" error.\n\nThen run:\n\n```bash\ngws auth login\n```\n\n### Browser-assisted auth (human or agent)\n\nYou can complete OAuth either manually or with browser automation.\n\n- **Human flow**: run `gws auth login`, open the printed URL, approve scopes.\n- **Agent-assisted flow**: the agent opens the URL, selects account, handles consent prompts, and returns control once the localhost callback succeeds.\n\nIf consent shows **\"Google hasn't verified this app\"** (testing mode), click **Continue**.\nIf scope checkboxes appear, select required scopes (or **Select all**) before continuing.\n\n### Headless / CI (export flow)\n\n1. Complete interactive auth on a machine with a browser.\n2. Export credentials:\n ```bash\n gws auth export --unmasked > credentials.json\n ```\n3. On the headless machine:\n ```bash\n export GOOGLE_WORKSPACE_CLI_CREDENTIALS_FILE=/path/to/credentials.json\n gws drive files list # just works\n ```\n\n### Service Account (server-to-server)\n\nPoint to your key file; no login needed.\n\n```bash\nexport GOOGLE_WORKSPACE_CLI_CREDENTIALS_FILE=/path/to/service-account.json\ngws drive files list\n```\n\n### Pre-obtained Access Token\n\nUseful when another tool (e.g. `gcloud`) already mints tokens for your environment.\n\n```bash\nexport GOOGLE_WORKSPACE_CLI_TOKEN=$(gcloud auth print-access-token)\n```\n\n### Precedence\n\n| Priority | Source | Set via |\n| -------- | ---------------------- | --------------------------------------- |\n| 1 | Access token | `GOOGLE_WORKSPACE_CLI_TOKEN` |\n| 2 | Credentials file | `GOOGLE_WORKSPACE_CLI_CREDENTIALS_FILE` |\n| 3 | Encrypted credentials | `gws auth login` |\n| 4 | Plaintext credentials | `~/.config/gws/credentials.json` |\n\nEnvironment variables can also live in a `.env` file.\n\n## AI Agent Skills\n\nThe repo ships 100+ Agent Skills (`SKILL.md` files) — one for every supported API, plus higher-level helpers for common workflows and 50 curated recipes for Gmail, Drive, Docs, Calendar, and Sheets. See the full [Skills Index](docs/skills.md) for the complete list.\n\n```bash\n# Install all skills at once\nnpx skills add https://github.com/googleworkspace/cli\n\n# Or pick only what you need\nnpx skills add https://github.com/googleworkspace/cli/tree/main/skills/gws-drive\nnpx skills add https://github.com/googleworkspace/cli/tree/main/skills/gws-gmail\n```\n\n\nOpenClaw setup\n\n```bash\n# Symlink all skills (stays in sync with repo)\nln -s $(pwd)/skills/gws-* ~/.openclaw/skills/\n\n# Or copy specific skills\ncp -r skills/gws-drive skills/gws-gmail ~/.openclaw/skills/\n```\n\nThe `gws-shared` skill includes an `install` block so OpenClaw auto-installs the CLI via `npm` if `gws` isn't on PATH.\n\n\n\n## Gemini CLI Extension\n\n1. Authenticate the CLI first:\n\n ```bash\n gws auth setup\n ```\n\n2. Install the extension into the Gemini CLI:\n ```bash\n gemini extensions install https://github.com/googleworkspace/cli\n ```\n\nInstalling this extension gives your Gemini CLI agent direct access to all `gws` commands and Google Workspace agent skills. Because `gws` handles its own authentication securely, you simply need to authenticate your terminal once prior to using the agent, and the extension will automatically inherit your credentials.\n\n## Advanced Usage\n\n### Multipart Uploads\n\n```bash\ngws drive files create --json '{\"name\": \"report.pdf\"}' --upload ./report.pdf\n```\n\n### Pagination\n\n| Flag | Description | Default |\n| ------------------- | ---------------------------------------------- | ------- |\n| `--page-all` | Auto-paginate, one JSON line per page (NDJSON) | off |\n| `--page-limit ` | Max pages to fetch | 10 |\n| `--page-delay ` | Delay between pages | 100 ms |\n\n### Google Sheets — Shell Escaping\n\nSheets ranges use `!` which bash interprets as history expansion. Always wrap values in **single quotes**:\n\n```bash\n# Read cells A1:C10 from \"Sheet1\"\ngws sheets spreadsheets values get \\\n --params '{\"spreadsheetId\": \"SPREADSHEET_ID\", \"range\": \"Sheet1!A1:C10\"}'\n\n# Append rows\ngws sheets spreadsheets values append \\\n --params '{\"spreadsheetId\": \"ID\", \"range\": \"Sheet1!A1\", \"valueInputOption\": \"USER_ENTERED\"}' \\\n --json '{\"values\": [[\"Name\", \"Score\"], [\"Alice\", 95]]}'\n```\n\n### Helper Commands\n\nSome services ship hand-crafted helper commands alongside the auto-generated Discovery surface. Helper commands are prefixed with `+` so they are visually distinct and never collide with Discovery-generated method names.\n\nTime-aware helpers (`+agenda`, `+standup-report`, `+weekly-digest`, `+meeting-prep`) automatically use your **Google account timezone** (fetched from Calendar Settings API and cached for 24 hours). Override with `--timezone`/`--tz` on `+agenda`, or set the `--timezone` flag for explicit control.\n\nRun `gws --help` to see both Discovery methods and helper commands together.\n\n```bash\ngws gmail --help # shows +send, +reply, +reply-all, +forward, +triage, +watch …\ngws calendar --help # shows +insert, +agenda …\ngws drive --help # shows +upload …\n```\n\n**Full helper reference:**\n\n| Service | Command | Description |\n|---------|---------|-------------|\n| `gmail` | `+send` | Send a",
"manifest_file": "Cargo.toml",
"manifest_content": "# Copyright 2026 Google LLC\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n\n[workspace]\nmembers = [\"crates/google-workspace-cli\", \"crates/google-workspace\"]\nresolver = \"2\"\n\n# The profile that 'cargo dist' will build with\n[profile.dist]\ninherits = \"release\"\nlto = \"thin\"\n",
"strategic_keywords": [
"agent",
"agents",
"runtime",
"skill",
"workspace",
"llm",
"workflow",
"automation"
],
"relationship_label": "Runtime 参考",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"Cargo.toml"
],
"score_breakdown": {
"heat": 20,
"relevance": 20,
"novelty": 15,
"productize": 14,
"adoption": 10,
"relation": 10,
"risk_signal": 8,
"total": 97
},
"strategic_score": 97
},
{
"owner": "interviewstreet",
"name": "hiring-agent",
"full_name": "interviewstreet/hiring-agent",
"url": "https://github.com/interviewstreet/hiring-agent",
"description": "AI agent to evaluate and score resumes.",
"language": "Python",
"total_stars": 3161,
"forks": 700,
"stars_this_period": 1836,
"source_slice": "all",
"source_slices": [
"all",
"python"
],
"metadata": {
"topics": [],
"license": "MIT",
"open_issues": 247,
"created_at": "2025-07-29T01:50:34Z",
"pushed_at": "2026-06-22T17:40:27Z",
"homepage": "",
"default_branch": "main",
"forks": 700,
"watchers": 6,
"archived": false,
"size_kb": 106
},
"readme_content": "# Hiring Agent\n\n
Resume-to-Score pipeline that extracts structured data from PDFs, enriches with GitHub signals, and outputs a fair, explainable evaluation.
\n\n---\n\n## Contents\n\n- [Overview](#overview)\n- [Architecture](#architecture)\n- [Installation and Setup](#installation-and-setup)\n - [Prerequisites](#prerequisites)\n - [Quick setup with pip](#quick-setup-with-pip)\n - [Ollama models](#ollama-models)\n- [Configuration](#configuration)\n- [How it works](#how-it-works)\n- [CLI usage](#cli-usage)\n- [Directory layout](#directory-layout)\n- [Provider details](#provider-details)\n- [Contributing](#contributing)\n- [License](#license)\n\n---\n\n## Overview\n\nHiring Agent parses a resume PDF to Markdown, extracts sectioned JSON using a local or hosted LLM, augments the data with GitHub profile and repository signals, then produces an objective evaluation with category scores, evidence, bonus points, and deductions. You can run fully local with Ollama or use Google Gemini.\n\n---\n\n## Architecture\n\n
\n
\n
\n\n**Flow**\n\n1. `pymupdf_rag.py` converts PDF pages to Markdown-like text.\n2. `pdf.py` calls the LLM per section using Jinja templates under `prompts/templates`.\n3. `github.py` fetches profile and repos, classifies projects, and asks the LLM to select the top 7.\n4. `evaluator.py` runs a strict-scored evaluation with fairness constraints.\n5. `score.py` orchestrates everything end to end and writes CSV when development mode is on.\n\n
\n
\n\n**Key modules**\n\n- `models.py`\n Pydantic schemas and LLM provider interfaces.\n\n- `llm_utils.py`\n Provider initialization and response cleanup.\n\n- `transform.py`\n Normalization from loose LLM JSON to JSON Resume style.\n\n- `prompts/`\n All Jinja templates for extraction and scoring.\n\n
\n\n## Why do you need Personal Cloud?\n\nIn 2020, the team noticed three important trends:\n- The cost of computing power and storage was decreasing fast.\n- A part of cloud computing was moving towards edge computing.\n- The issue of consumer data asset ownership and attribution had been ignored.\n\nBased on these trends, the team proposed a thought experiment internally: what if personal clouds were available under $100 in next five years? This personal cloud would provide a low-cost data collaboration solution as a personal data center, storing and managing data for creators and small organizations. A distributed collaborative computing network can be formed by personal servers located around the world. It could also control and connect all smart devices, providing cross-ecosystem local intelligent services.\n\nFurthermore, the personal cloud could combine personal data to train personalized AI assistants. The idea is that this technology would be an effective way to solve the issue of consumer data asset ownership and , as well as provide a more affordable and efficient computing solution for individuals and small organizations.\n\n> If you think what we are doing is valuable. Please **give us a star ⭐** and **fork it 🤞**!\n\n## Features\n\n- Friendly UI designed for home scenarios\n - No code, no forms, intuitive, design for humanity\n- Multiple hardware and base system support\n - ZimaBoard, NUC, RPi, old computers, whatever is available.\n- Selected apps in the app store, one-click installation\n - Nextcloud, HomeAssistant, AdGuard, Jellyfin, *arr and more!\n- Easily install numerous Docker apps\n - Over 100,000 apps from the Docker ecosystem can be easily installed\n- Elegant drive and file management\n - What you see is what you get. No technical background required.\n- Well-designed system/app widgets\n - What you care about, at a glance. Resource usage, app status, and more!\n\n## Getting Started\n\nCasaOS fully supports ZimaBoard, Intel NUC, and Raspberry Pi. Also, more computers and development boards and fully compatible with Ubuntu, Debian, Raspberry Pi OS, and CentOS with one-liner installation.\n\n### Hardware Compatibility\n\n- amd64 / x86-64\n- arm64\n- armv7\n\n### System Compatibility\n\nOfficial Support\n- Debian 12 (✅ Tested, Recommended)\n- Ubuntu Server 20.04 (✅ Tested)\n- Raspberry Pi OS (✅ Tested)\n\nCommunity Support\n- Elementary 6.1 (✅ Tested)\n- Armbian 22.04 (✅ Tested)\n- Alpine (🚧 Not Fully Tested Yet)\n- OpenWrt (🚧 Not Fully Tested Yet)\n- ArchLinux (🚧 Not Fully Tested Yet)\n\n### Quick Setup CasaOS\n\nFreshly install a system from the list above and run this command:\n\n```sh\nwget -qO- https://get.casaos.io | sudo bash\n```\n\nor\n\n```sh\ncurl -fsSL https://get.casaos.io | sudo bash\n```\n\n### Update CasaOS\n\nCasaOS can be updated from the User Interface (UI), via `Settings ... Update`. \n\nAlternatively it can be updated from a terminal session. To update from a terminal session, it must be done either from a secure shell (ssh) session to the device or from a directly attached terminal and keyboard to the device running CasaOS, this cannot be done from the terminal via the CasaOS User Interface (UI). To update to the latest release of CasaOS from a terminal session run this command:\n\n```sh\nwget -qO- https://get.casaos.io/update | sudo bash\n```\n\nor\n\n```sh\ncurl -fsSL https://get.casaos.io/update | sudo bash\n```\n\nTo determine version of CasaOS from a terminal session run this command:\n\n```sh\ncasaos -v\n```\n\n\n\n### Uninstall CasaOS\n\n\nv0.3.3 or newer\n\n```sh\ncasaos-uninstall\n```\n\nBefore v0.3.3\n\n```sh\ncurl -fsSL https://get.icewhale.io/casaos-uninstall.sh | sudo bash\n```\n\n## Community \n\nThe word Casa comes from the Spanish word for \"home\". Project CasaOS originated as a pre-installed system for the crowdfunded product [ZimaBoard](https://www.zimaboard.com) on Kickstarter.\n\nAfter looking at many systems and software on the market, the team found no server system designed for home scenarios, sadly true.\n\nSo, we set out to build this open-source project to develop CasaOS with our own hands, everyone in the community, and you.\n\nWe believe that through community-driven collaborative innovation and open communication with global developers, we can reshape the digital home experience like never before.\n\n**A warm welcome for you to get help or share great ideas in the [Discord](https://discord.gg/knqAbbBbeX)!**\n\n[](https://discord.gg/knqAbbBbeX)\n\n## Contributing\n\nCasaOS is a community-driven open source project and the people involved are CasaOS users. That means CasaOS will always need contributions from community members just like you!\n\n- See for ways of contributing to CasaOS\n- See if you want to be involved in code contribution specifically\n\n\n## Credits\n\nMany thanks to everyone who has helped CasaOS so far!\n\nEveryone's contribution is greatly appreciated. ([Emoji Key](https://allcontributors.org/docs/en/emoji-key))\n\n\n\n\n
\n\n**Clips**\n\n\n\n**Agent-Native Loom + Jam**\n\nRecord your screen with auto-transcripts and captured browser debug logs, share a link, and let an agent read the transcript, see timestamped frames, and fix the bug.\n\n
\n
\n\n**Plans**\n\n\n\n**Visual plan mode for coding agents**\n\nInstall `/visual-plan` and `/visual-recap` so your coding agent can plan before it builds and recap changes after they land. High-level code reviews with diagrams, wireframes, annotations, and review links.\n\n
\n
\n\n**Design**\n\n\n\n**Agent-Native design prototyping**\n\nGenerate interactive HTML prototypes, compare variants, refine controls, and export the result.\n\n
\n
\n
\n
\n\n**Content**\n\n\n\n**Open-source Obsidian for MDX**\n\nEdit local Markdown/MDX files, generate rich interactive custom blocks, and draft, rewrite, or publish with an agent.\n\n
\n
\n\n**Slides**\n\n\n\n**Agent-Native Google Slides, Pitch**\n\nGenerate and edit React-based presentations via prompt or point-and-click.\n\n
\n
\n\n**Analytics**\n\n\n\n**Agent-Native Amplitude, Mixpanel**\n\nConnect analytics data sources, prompt for real charts, and build reusable dashboards.\n\n
\n
\n
\n\nView the full template gallery at **[agent-native.com/templates](https://agent-native.com/templates)**.\n\n## Agents and UIs, Fully Connected\n\nThe agent and the UI are equal citizens of one system. Every action works both ways: click it or ask for it.\n\n\n\n- **Everything syncs**: One database, one state. Changes from either side show up instantly on the other.\n- **Real-time multiplayer**: Humans and agents edit the same document together, with the agent as a first-class peer.\n- **Context-aware**: The agent knows what you're looking at. Select text, hit Cmd+I, and tell it what to do.\n- **Agents call agents**: Tag another agent from any app and they coordinate over A2A.\n- **Self-improving**: The agent can add features, fix bugs, and refine the UI over time.\n\n## Try it with a skill\n\nDon't want to scaffold a whole app yet? Add visual planning and PR recaps to Claude Code, Codex, Cursor, Pi, OpenCode, GitHub Copilot / VS Code, and similar agents with one command:\n\n```bash\nnpx @agent-native/core@latest skills add visual-plan\n```\n\n\n\nYou get two slash commands:\n\n- **`/visual-plan`**: before the agent writes code, it opens a structured, reviewable plan with inline diagrams, UI wireframes, file-by-file implementation maps, and annotations you can comment on and approve.\n- **`/visual-recap`**: after changes land, it turns a PR or git diff into a high-altitude visual recap with a shareable review link instead of a raw diff.\n\nSee the **[Skills Guide](https://agent-native.com/docs/skills-guide#app-backed-skills)** for more.\n\n## Quick Start\n\nOne command to start a new project locally.\n\n```bash\nnpx @agent-native/core@latest create my-app\ncd my-app\npnpm install\npnpm dev\n```\n\n`create` first asks how you want to start:\n\n- **Full template(s)**: clone one or more complete apps into a workspace. Pick Mail + Calendar + Forms and you get all three wired up and sharing auth.\n- **Chat**: a single app with a minimal chat UI and the browser shell already wired, the simplest way to get a UI.\n- **Headless**: a single action-first app with no UI shell. The CLI walks you through calling your first action and agent, and you can add a UI later.\n\nPrefer flags? `create my-app --template mail`, `--headless`, or `--standalone` skip the prompt.\n\n## The Best of Both Worlds\n\n| | SaaS Tools | Raw AI Agents | Internal Tools | Agent-Native |\n| ----------------- | ------------------ | ----------------------- | -------------------------- | ----------------------- |\n| **UI** | Polished but rigid | None | Mixed quality | Full UI, fork & go |\n| **AI** | Bolted on | Powerful | Shallowly connected | Agent-first, integrated |\n| **Customization** | Can't | Instructions and skills | Full, but high maintenance | Agent modifies the app |\n| **Ownership** | Rented | Somewhat yours | You own the code | You own the code |\n\n## Community\n\nJoin the **[Discord](https://discord.gg/qm82StQ2NC)** to ask questions, share what you're building, and get help.\n\n## Docs\n\nFull documentation at **[agent-native.com](https://agent-native.com)**.\n\n## License\n\nMIT\n",
"manifest_file": "package.json",
"manifest_content": "{\n \"name\": \"agentnative\",\n \"version\": \"1.0.0\",\n \"private\": true,\n \"description\": \"Don't choose between rich user interfaces and autonomous agents. Every Agent-Native app is both.\",\n \"keywords\": [],\n \"homepage\": \"https://github.com/BuilderIO/agent-native#readme\",\n \"bugs\": {\n \"url\": \"https://github.com/BuilderIO/agent-native/issues\"\n },\n \"license\": \"ISC\",\n \"author\": \"\",\n \"repository\": {\n \"type\": \"git\",\n \"url\": \"git+https://github.com/BuilderIO/agent-native.git\"\n },\n \"directories\": {\n \"doc\": \"docs\"\n },\n \"type\": \"module\",\n \"main\": \"index.js\",\n \"scripts\": {\n \"postinstall\": \"node scripts/prebuild-workspace-packages.ts postinstall && pnpm rebuild better-sqlite3\",\n \"setup\": \"pnpm install\",\n \"build\": \"pnpm -r build\",\n \"dev\": \"node scripts/dev-lazy.ts\",\n \"typecheck\": \"tsx scripts/workspace-run.ts typecheck\",\n \"fmt\": \"oxfmt --write .\",\n \"fmt:check\": \"oxfmt --check .\",\n \"fix:imports\": \"oxfmt --write .\",\n \"test\": \"tsx scripts/workspace-run.ts test\",\n \"test:brain-evals\": \"pnpm --filter brain eval:ci\",\n \"qa:cli\": \"tsx scripts/qa-cli-smoke.ts\",\n \"qa:headless-onramp\": \"tsx scripts/qa-headless-onramp-smoke.ts\",\n \"qa:standalone-chat-dev\": \"tsx scripts/qa-standalone-chat-dev-smoke.ts\",\n \"qa:composer-geometry\": \"tsx scripts/qa-composer-geometry-smoke.ts\",\n \"qa:dispatch-workspace-resources\": \"tsx scripts/qa-dispatch-workspace-resources-smoke.ts\",\n \"qa:dispatch-automations\": \"tsx scripts/qa-dispatch-automations-smoke.ts\",\n \"qa:template-routes\": \"tsx scripts/qa-template-route-matrix.ts\",\n \"actions:audit\": \"node scripts/audit-template-actions.mjs\",\n \"test:mcp:e2e\": \"tsx scripts/e2e-mcp-test.ts\",\n \"lint\": \"pnpm fmt:check && pnpm oxlint && pnpm typecheck\",\n \"oxlint\": \"oxlint --config .oxlintrc.json .\",\n \"dev:cli\": \"tsx packages/core/src/cli/index.ts\",\n \"guard:no-drizzle-push\": \"node scripts/guard-no-drizzle-push.mjs\",\n \"guard:no-unscoped-queries\": \"node scripts/guard-no-unscoped-queries.mjs\",\n \"guard:no-env-credentials\": \"node scripts/guard-no-env-credentials.mjs\",\n \"guard:no-unscoped-credentials\": \"node scripts/guard-no-unscoped-credentials.mjs\",\n \"guard:no-env-mutation\": \"node scripts/guard-no-env-mutation.mjs\",\n \"guard:no-localhost-fallback\": \"node scripts/guard-no-localhost-fallback.mjs\",\n \"guard:google-auth-redirects\": \"node scripts/guard-google-auth-redirects.mjs\",\n \"guard:db-tool-scoping\": \"node scripts/guard-db-tool-scoping.mjs\",\n \"guard:template-list\": \"node scripts/guard-template-list.mjs\",\n \"guard:netlify-private-env\": \"tsx scripts/guard-netlify-private-env.ts\",\n \"guard:workspace-skills\": \"tsx scripts/sync-workspace-core-skills.ts --check\",\n \"guard:public-packages\": \"tsx scripts/guard-public-packages.ts\",\n \"guard:no-generated-artifacts\": \"node scripts/guard-no-generated-artifacts.mjs\",\n \"guard:extension-no-public\": \"node scripts/guard-extension-no-public.mjs\",\n \"guard:no-one-off-mcp-app-html\": \"node scripts/guard-no-one-off-mcp-app-html.mjs\",\n \"guard:i18n-catalogs\": \"tsx scripts/guard-i18n-catalogs.ts\",\n \"guard:plan-marketplace\": \"tsx scripts/sync-plan-marketplace.ts --check\",\n \"guard:plan-skills\": \"tsx scripts/sync-plan-skills.ts --check\",\n \"guard:no-error-string-returns\": \"node scripts/guard-no-error-string-returns.mjs\",\n \"guard:no-action-twin-routes\": \"node scripts/guard-no-action-twin-routes.mjs\",\n \"guards\": \"tsx scripts/run-guards.ts\",\n \"sync:netlify-env\": \"tsx scripts/sync-template-netlify-env.ts\",\n \"sync:workspace-skills\": \"tsx scripts/sync-workspace-core-skills.ts\",\n \"sync:plan-marketplace\": \"tsx scripts/sync-plan-marketplace.ts\",\n \"sync:plan-skills\": \"tsx scripts/sync-plan-skills.ts\",\n \"changeset\": \"changeset\",\n \"changeset:add\": \"changeset add\",\n \"changeset:status\": \"changeset status --since=origin/main\",\n \"changeset:version\": \"changeset version\",\n \"changeset:publish\": \"pnpm -r build && changeset publish\",\n \"prep\": \"pnpm fmt && concurrently -n types,test,guard -c cyan,green,yellow \\\"pnpm typecheck\\\" \\\"pnpm test\\\" \\\"pnpm guards\\\"\",\n \"dev:lazy\": \"node scripts/dev-lazy.ts\",\n \"dev:desktop\": \"node scripts/dev-lazy.ts --desktop --electron\",\n \"dev:lazy:desktop\": \"node scripts/dev-lazy.ts --desktop --electron\",\n \"dev:eager\": \"node scripts/dev-all.ts\",\n \"dev:eager:desktop\": \"node scripts/dev-all.ts --desktop\",\n \"dev:all\": \"node scripts/dev-all.ts\",\n \"dev:all:desktop\": \"node scripts/dev-all.ts --desktop\",\n \"dev:docs\": \"pnpm --filter @agent-native/docs dev\",\n \"dev:electron\": \"node scripts/dev-electron.ts\",\n \"dev:electron:lazy\": \"node scripts/dev-lazy.ts --electron\",\n \"dev:electron:apps\": \"node scripts/dev-electron.ts --apps\"\n },\n \"devDependencies\": {\n \"@changesets/cli\": \"2.31.0\",\n \"@cloudflare/vite-plugin\": \"^1.31.0\",\n \"@libsql/linux-x64-gnu\": \"^0.5.29\",\n \"@playwright/test\": \"^1.60.0\",\n \"@typescript/native-preview\": \"7.0.0-dev.20260624.1\",\n \"concurrently\": \"^9.1.0\",\n \"oxfmt\": \"0.56.0\",",
"strategic_keywords": [
"agent",
"agents",
"memory",
"mcp",
"runtime",
"skill",
"workspace"
],
"relationship_label": "Memory 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"package.json"
],
"score_breakdown": {
"heat": 20,
"relevance": 20,
"novelty": 15,
"productize": 14,
"adoption": 10,
"relation": 10,
"risk_signal": 6,
"total": 95
},
"strategic_score": 95
},
{
"owner": "makeplane",
"name": "plane",
"full_name": "makeplane/plane",
"url": "https://github.com/makeplane/plane",
"description": "🔥🔥🔥 Open-source Jira, Linear, Monday, and ClickUp alternative. Plane is a modern project management platform to manage tasks, sprints, docs, and triage.",
"language": "TypeScript",
"total_stars": 53459,
"forks": 4796,
"stars_this_period": 1294,
"source_slice": "typescript",
"source_slices": [
"typescript"
],
"metadata": {
"topics": [
"boards",
"bug-tracker",
"django",
"docker",
"gantt",
"issue-tracker",
"jira",
"jira-alternative",
"kanban",
"linear",
"postgresql",
"product-management",
"project-management",
"project-planning",
"python",
"react",
"redis",
"typescipt",
"vite",
"work-management"
],
"license": "AGPL-3.0",
"open_issues": 953,
"created_at": "2022-11-19T12:55:01Z",
"pushed_at": "2026-06-26T15:58:33Z",
"homepage": "http://plane.so",
"default_branch": "preview",
"forks": 4796,
"watchers": 170,
"archived": false,
"size_kb": 211820
},
"readme_content": "
\n\nMeet [Plane](https://plane.so/), an open-source project management tool to track issues, run ~sprints~ cycles, and manage product roadmaps without the chaos of managing the tool itself. 🧘♀️\n\n> Plane is evolving every day. Your suggestions, ideas, and reported bugs help us immensely. Do not hesitate to join in the conversation on [Forum](https://forum.plane.so) or raise a GitHub issue. We read everything and respond to most.\n\n## 🚀 Installation\n\nGetting started with Plane is simple. Choose the setup that works best for you:\n\n- **Plane Cloud**\n Sign up for a free account on [Plane Cloud](https://app.plane.so)—it's the fastest way to get up and running without worrying about infrastructure.\n\n- **Self-host Plane**\n Prefer full control over your data and infrastructure? Install and run Plane on your own servers. Follow our detailed [deployment guides](https://developers.plane.so/self-hosting/overview) to get started.\n\n| Installation methods | Docs link |\n| -------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |\n| Docker | [](https://developers.plane.so/self-hosting/methods/docker-compose) |\n| Kubernetes | [](https://developers.plane.so/self-hosting/methods/kubernetes) |\n\n`Instance admins` can configure instance settings with [God mode](https://developers.plane.so/self-hosting/govern/instance-admin).\n\n## 🌟 Features\n\n- **Work Items**\n Efficiently create and manage tasks with a robust rich text editor that supports file uploads. Enhance organization and tracking by adding sub-properties and referencing related issues.\n\n- **Cycles**\n Maintain your team’s momentum with Cycles. Track progress effortlessly using burn-down charts and other insightful tools.\n\n- **Modules**\n Simplify complex projects by dividing them into smaller, manageable modules.\n\n- **Views**\n Customize your workflow by creating filters to display only the most relevant issues. Save and share these views with ease.\n\n- **Pages**\n Capture and organize ideas using Plane Pages, complete with AI capabilities and a rich text editor. Format text, insert images, add hyperlinks, or convert your notes into actionable items.\n\n- **Analytics**\n Access real-time insights across all your Plane data. Visualize trends, remove blockers, and keep your projects moving forward.\n\n## 🛠️ Local development\n\nSee [CONTRIBUTING](./CONTRIBUTING.md)\n\n## ⚙️ Built with\n\n[](https://reactrouter.com/)\n[](https://www.djangoproject.com/)\n[](https://nodejs.org/en)\n\n## 📸 Screenshots\n\n
\n\n\n## 📝 Documentation\n\nExplore Plane's [product documentation](https://docs.plane.so/) and [developer documentation](https://developers.plane.so/) to learn about features, setup, and usage.\n\n## ❤️ Community\n\nJoin the Plane community on [GitHub Discussions](https://github.com/orgs/makeplane/discussions) and our [Forum](https://forum.plane.so). We follow a [Code of conduct](https://github.com/makeplane/plane/blob/master/CODE_OF_CONDUCT.md) in all our community channels.\n\nFeel free to ask questions, report bugs, participate in discussions, share ideas, request features, or showcase your projects. We’d love to hear from you!\n\n## 🛡️ Security\n\nIf you discover a security vulnerability in Plane, please report it responsibly instead of opening a public issue. We take all legitimate reports seriously and will investigate them promptly. See [Security policy](https://github.com/makeplane/plane/blob/master/SECURITY.md) for more info.\n\nTo disclose any security issues, please email us at security@plane.so.\n\n## 🤝 Contributing\n\nThere are many ways you can contribute to Plane:\n\n- Report [bugs](https://github.com/makeplane/plane/issues/new?assignees=srinivaspendem%2Cpushya22&labels=%F0%9F%90%9Bbug&projects=&template=--bug-report.yaml&title=%5Bbug%5D%3A+) or submit [feature requests](https://github.com/makeplane/plane/issues/new?assignees=srinivaspendem%2Cpushya22&labels=%E2%9C%A8feature&projects=&template=--feature-request.yaml&title=%5Bfeature%5D%3A+).\n- Review the [documentation](https://docs.plane.so/) and submit [pull requests](https://github.com/makeplane/docs) to improve it—whether it's fixing typos or adding new content.\n- Talk or write about Plane or any other ecosystem integration and [let us know](https://forum.plane.so)!\n- Show your support by upvoting [popular feature requests](https://github.com/makeplane/plane/issues).\n\nPlease read [CONTRIBUTING.md](https://github.com/makeplane/plane/blob/master/CONTRIBUTING.md) for details on the process for submitting pull requests to us.\n\n### Repo activity\n\n![Plane Repo Activity](https://repobeats.axiom.co/api/embed/2523c6ed2f77c082b7908c33e2ab208981d76c39.svg \"Repobeats analytics image\")\n\n### We couldn't have done this without you.\n\n\n \n\n\n## License\n\nThis project is licensed under the [GNU Affero General Public License v3.0](https://github.com/makeplane/plane/blob/master/LICENSE.txt).\n",
"manifest_file": "package.json",
"manifest_content": "{\n \"name\": \"plane\",\n \"version\": \"1.3.1\",\n \"private\": true,\n \"description\": \"Open-source project management that unlocks customer value\",\n \"license\": \"AGPL-3.0\",\n \"repository\": \"https://github.com/makeplane/plane.git\",\n \"scripts\": {\n \"build\": \"turbo run build\",\n \"dev\": \"turbo run dev --concurrency=18\",\n \"start\": \"turbo run start\",\n \"clean\": \"turbo run clean && rm -rf .turbo && rm -rf .next && rm -rf node_modules && rm -rf dist\",\n \"fix\": \"turbo run fix\",\n \"fix:format\": \"turbo run fix:format\",\n \"fix:lint\": \"turbo run fix:lint\",\n \"check\": \"turbo run check\",\n \"check:lint\": \"turbo run check:lint\",\n \"check:format\": \"turbo run check:format\",\n \"check:types\": \"turbo run check:types\",\n \"prepare\": \"husky\",\n \"doctor\": \"npx react-doctor@latest\"\n },\n \"devDependencies\": {\n \"husky\": \"catalog:\",\n \"lint-staged\": \"catalog:\",\n \"oxfmt\": \"catalog:\",\n \"oxlint\": \"catalog:\",\n \"react-doctor\": \"^0.4.2\",\n \"turbo\": \"catalog:\"\n },\n \"lint-staged\": {\n \"*.{js,jsx,ts,tsx,cjs,mjs,cts,mts,json,css,md}\": [\n \"pnpm exec oxfmt --no-error-on-unmatched-pattern\"\n ],\n \"*.{js,jsx,ts,tsx,cjs,mjs,cts,mts}\": [\n \"pnpm exec oxlint --fix --deny-warnings\"\n ]\n },\n \"engines\": {\n \"node\": \">=22.18.0\"\n },\n \"packageManager\": \"pnpm@11.3.0+sha512.2c403d6594527287672b1f7056343a1f7c3634036a67ffabfcc2b3d7595d843768f8787148d1b57cf7956c90606bbd192857c363af19e96d2d0ec9ec5741d215\"\n}\n",
"strategic_keywords": [
"workflow"
],
"relationship_label": "Workspace 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"package.json"
],
"score_breakdown": {
"heat": 20,
"relevance": 8,
"novelty": 4,
"productize": 14,
"adoption": 10,
"relation": 7,
"risk_signal": 8,
"total": 71
},
"strategic_score": 71
},
{
"owner": "ogulcancelik",
"name": "herdr",
"full_name": "ogulcancelik/herdr",
"url": "https://github.com/ogulcancelik/herdr",
"description": "agent multiplexer that lives in your terminal.",
"language": "Rust",
"total_stars": 7936,
"forks": 490,
"stars_this_period": 1233,
"source_slice": "rust",
"source_slices": [
"rust"
],
"metadata": {
"topics": [
"agent",
"agent-orchestration",
"ai",
"ai-agents",
"claude-code",
"cli",
"codex",
"coding-agents",
"developer-tools",
"devtools",
"multiplexer",
"rust",
"terminal",
"terminal-multiplexer",
"terminal-ui",
"tmux",
"tui",
"workspace-manager"
],
"license": "NOASSERTION",
"open_issues": 29,
"created_at": "2026-03-27T17:54:33Z",
"pushed_at": "2026-06-28T20:34:44Z",
"homepage": "https://herdr.dev",
"default_branch": "master",
"forks": 490,
"watchers": 20,
"archived": false,
"size_kb": 28250
},
"readme_content": "# herdr\n\n\n
\n\n---\n\nhttps://github.com/user-attachments/assets/043ec09f-4bdd-41d5-aee0-8fda6b83e267\n\n**agent multiplexer that lives in your terminal.**\n\nworkspaces, tabs, panes. mouse-native: click, drag, split. every agent at a glance: blocked, working, done. detach and reattach, agents keep running. no gui app, no electron, no mac-only native wrapper. you see the agent's own terminal, not someone's interpretation of it.\n\n---\n\n## install\n\n```bash\ncurl -fsSL https://herdr.dev/install.sh | sh\n```\n\non windows preview beta:\n\n```powershell\npowershell -ExecutionPolicy Bypass -c \"irm https://herdr.dev/install.ps1 | iex\"\n```\n\nor install with homebrew:\n\n```bash\nbrew install herdr\n```\n\nor install with mise:\n\n```bash\nmise use -g herdr\n```\n\nif mise reports `herdr not found in mise tool registry`, update mise and retry. older mise versions predate the herdr registry entry; `mise use -g github:ogulcancelik/herdr` works as a temporary fallback.\n\nor download the stable Linux/macOS binary from [releases](https://github.com/ogulcancelik/herdr/releases). Native Windows binaries are preview-only beta builds.\n\n## quick start\n\nStart Herdr in the directory where the work lives:\n\n```bash\nherdr\n```\n\nHerdr starts or attaches to one background session server. When a session has no workspaces, Herdr opens one automatically. Run an agent in the root pane. Press `ctrl+b`, then `shift+n` to create another workspace, `ctrl+b`, then `v` or `minus` to split panes, `ctrl+b`, then `c` to create a tab, and `ctrl+b`, then `w` to switch workspaces.\n\nPress `ctrl+b q` to detach the client. The server and pane processes keep running. Open another terminal and run `herdr` again to reattach.\n\n## core concepts\n\n**Server and client.** By default, `herdr` attaches to a background server. Detaching closes only the client. `herdr server stop` stops the default server and kills its panes. Named sessions are separate server namespaces: use `herdr session attach work`, `herdr session stop work`, and `herdr session list` when you want fully separate runtime state.\n\n**Workspaces, tabs, panes.** A workspace is the project-level container. Tabs group panes inside a workspace. Panes are real terminal processes, not rewritten agent views.\n\n**Copy.** Herdr copies pane text, not the sidebar. Drag-select inside a pane, double-click a word or token, or press `prefix+[` for keyboard copy mode. In copy mode, move with `h/j/k/l`, `w/b/e`, and `{`/`}`, start selection with `v` or Space, copy with `y` or Enter, and leave with `q` or Esc. In PuTTY and some SSH terminals, hold `Shift` while dragging to use the terminal's own selection, and `Shift` + right click to paste.\n\n**Update and restore.** `herdr update` installs a new binary, but a running server keeps using the old process until it is stopped or handed off. Stop the old server to use the new version. Stopping exits pane processes. Run `herdr server stop`, then run `herdr` again for the default session. For a named session, run `herdr session stop `, then run `herdr session attach ` again. `herdr update --handoff` is experimental and tries to move live panes, including foreground processes such as dev servers, from the old server to the new one. With current official integrations installed, supported agent panes can restart from their native agent sessions after a server restart or update.\n\n**Keybindings.** Herdr uses explicit keybinding strings. `prefix+n` means press the configured prefix, then `n`. `ctrl+alt+n`, `cmd+k`, `alt+1`, and function-key chords are direct terminal-mode shortcuts and do not need the prefix. Plain direct printable keys such as `n` steal normal typing, so use `prefix+n` unless you intentionally want a modifier-gated direct binding.\n\n**Agent awareness.** The sidebar shows blocked, working, done, and idle states. Detection works with process names and terminal output by default. Official integrations can add native session identity for restore, semantic state reports, or both.\n\n## update\n\nHerdr notifies you when a new version is available. Run manually:\n\n```bash\nherdr update\n```\n\n`herdr update` is for installs managed by Herdr's own installer. Homebrew, mise, and Nix installs update through `brew upgrade herdr`, `mise upgrade herdr`, or your Nix workflow, then use the same stop-and-run-again flow if a session is still running the old server. Linux and macOS direct installs can opt into development preview builds with `herdr channel set preview` and return to stable with `herdr channel set stable`. Windows beta installs are preview-only for now. See [install docs](https://herdr.dev/docs/install/) and [session state docs](https://herdr.dev/docs/session-state/) for the full update, restart, restore, and handoff matrix.\n\nLinux and macOS direct installs use the stable update channel by default. Windows beta installs default to preview. To test preview builds from `master` before the next stable release:\n\n```bash\nherdr channel set preview\n```\n\nTo return Linux and macOS direct installs to stable:\n\n```bash\nherdr channel set stable\n```\n\nFor direct installs, changing channels also checks that channel and installs its latest binary. If that update fails, run `herdr update` to retry from the configured channel.\n\nPreview is only for direct installs managed by Herdr's updater. Homebrew, mise, and Nix stay on stable and update through their package managers.\n\n## how it compares\n\n| | tmux | gui managers | herdr |\n|--------------------------|------|--------------|-------|\n| persistent sessions | ✓ | — | ✓ |\n| detach / reattach | ✓ | — | ✓ |\n| panes, tabs, workspaces | ✓ | ✓ | ✓ |\n| agent awareness | — | ✓ | ✓ |\n| lives in your terminal | ✓ | — | ✓ |\n| real terminal views | ✓ | — | ✓ |\n| mouse-native | — | ✓ | ✓ |\n| lightweight binary | ✓ | — | ✓ |\n| agents can orchestrate | ? | ? | ✓ |\n\ntmux gives you persistence and panes, but it was built before agents existed. gui managers show agent state, but they make you leave your terminal and use their wrapped view. herdr is persistence and awareness in one tool that stays out of your way.\n\n## remote and attach\n\nHerdr works over normal SSH. Run it on the remote host, detach, and reattach later:\n\n```\nssh you@yourserver\nherdr\n```\n\nYou can also attach from your local terminal without opening a shell first:\n\n```bash\nherdr --remote workbox\nherdr --remote ssh://you@yourserver:2222\n```\n\nRemote attach adds fallback SSH keepalives by default while preserving your own SSH config. Set `[remote].manage_ssh_config = false` to use plain `ssh`.\n\nDirect attach connects your current terminal to one server-owned terminal:\n\n```bash\nherdr agent attach \nherdr terminal attach \n```\n\nSee [persistence and remote docs](https://herdr.dev/docs/persistence-remote/) for remote keybinding, named-session, and handoff details.\n\n## agent awareness\n\nthe sidebar shows which agents are blocked, working, or done. workspaces roll up to their most urgent state so you can scan the full list at a glance.\n\nstates:\n\n- 🔴 **blocked** — agent needs input or approval\n- 🟡 **working** — agent is actively running\n- 🔵 **done** — work finished, you have not looked at it yet\n- 🟢 **idle** — done and seen\n\ndetection works by reading foreground process and terminal output. zero config, no hooks required. official claude code, codex, github copilot cli, devin, droid, kimi code cli, qodercli, and cursor agent cli integrations provide session restore identity; pi, omp, kimi code cli, opencode, kilo code cli, hermes, and custom socket integrations can report their own state.\n\n## lives in your terminal\n\nnot a gui window, not a web dashboard, not electron. herdr runs inside whatever terminal you already use. single rust binary, no dependencies. works inside tmux as the outer terminal environment.\n\n## what you get\n\n- **workspaces** — organized around git repos or folder names, each with its own tabs and panes\n- **tabs** — first-class in the socket api and cli\n- **copy-friendly** — drag-select pane text, double-click tokens, or use keyboard copy mode with `prefix+[`, `h/j/k/l`, `{`/`}`, `v`, and `y`\n- **notifications** — sounds and toasts for background events; tab-aware suppression\n- **18 built-in themes** — catppuccin, terminal, tokyo night, gruvbox, one, solarized, kanagawa, rosé pine, vesper, and light variants for the main palettes\n- **session persistence** — pane processes survive client detach; sessions restore panes after full restart, with opt-in recent screen history\n\n## agents can use herdr too\n\nThe local Unix socket lets agents create workspaces, split or zoom panes, spawn helpers, read output, and wait for state changes. Start with the [socket API docs](https://herdr.dev/docs/socket-api/) and [`SKILL.md`](./SKILL.md).\n\n## supported agents\n\nautomatic detection works out of the box. process name matching plus terminal output heuristics.\n\n| agent | idle / done | working | blocked |\n|-------|-------------|---------|---------|\n| [pi](https://pi.dev) | ✓ | ✓ | partial |\n| [claude code](https://docs.anthropic.com/en/docs/claude-code) | ✓ | ✓ | ✓ |\n| [codex](https://github.com/openai/codex) | ✓ | ✓ | ✓ |\n| [droid](https://factory.ai) | ✓ | ✓ | ✓ |\n| [amp](https://ampcode.com) | ✓ | ✓ | ✓ |\n| [opencode](https://github.com/anomalyco/opencode) | ✓ | ✓ | ✓ |\n| [grok cli](https://x.ai/grok) | ✓ | ✓ | ✓ |\n| [hermes agent](https://github.com/NousResearch/hermes-agent) | ✓ | ✓ | ✓ |\n| [kilo code cli](https://kilo.ai/) | ✓ | ✓ | ✓ |\n| [devin cli](https://docs.devin.ai/cli) | ✓ | ✓ | ✓ |\n| cursor agent | ✓ | ✓ | ✓ |\n| antigravity cli | ✓ | ✓ | ✓ |\n| kimi code cli | ✓ | ✓ | ✓ |\n| [github copilot cli](https://github.com/features/copilot) | ✓ | ✓ | ✓ |\n| [qodercli](https://qoder.com/cli) | ✓ | ✓ | ✓ |\n| [kiro cli](https://kiro.dev/docs/cli/) | ✓ | ✓ | — |\n\ndetected but not fully tested: gemini cli, cline.\n\nfor agents outside the built-in list, herdr still works as a terminal multiplexer with workspaces, panes, and tiling. custom integrations can report agent labels over the socket api. see the [socket api docs](https://herdr.dev/docs/socket-api/).\n\n### direct integrations\n\nofficial integrations have two roles. claude code, codex, github copilot cli, devin, droid, qodercli, and cursor agent cli report session identity for native restore, while their state still comes from screen detection. pi, omp, kimi code cli, opencode, kilo code cli, and hermes report both semantic state and session identity. install with:\n\n```bash\nherdr integration install pi\nherdr integration install omp\nherdr integration install claude\nherdr integration install codex\nherdr integration install copilot\nherdr integration install devin\nherdr integration install droid\nherdr integration install kimi\nherdr integration install opencode\nherdr integration install kilo\nherdr integration install hermes\nherdr integration install qodercli\nherdr integration install cursor\n```\n\nsee the [integrations docs](https://herdr.dev/docs/integrations/) for setup details.\n\n## keybindings\n\nPress `ctrl+b` to enter prefix mode. Default actions are prefix-first and tmux-like:\n\n| key | action |\n|-----|--------|\n| `prefix+c` | new tab |\n| `prefix+n` / `prefix+p` | next / previous tab |\n| `prefix+1..9` | switch tab |\n| `prefix+w` | workspace navigation |\n| `prefix+g` | session navigator |\n| `prefix+shift+n` |",
"manifest_file": "Cargo.toml",
"manifest_content": "[package]\nname = \"herdr\"\nversion = \"0.7.1\"\nedition = \"2021\"\nbuild = \"build.rs\"\ndescription = \"terminal workspace manager for AI coding agents\"\nlicense = \"AGPL-3.0-or-later\"\nrepository = \"https://github.com/ogulcancelik/herdr\"\nhomepage = \"https://herdr.dev\"\nkeywords = [\"terminal\", \"tui\", \"ai\", \"agents\", \"multiplexer\"]\ncategories = [\"command-line-utilities\"]\ninclude = [\"src/**/*\", \"assets/sounds/*\", \"README.md\", \"LICENSE\", \"Cargo.toml\"]\n\n[dependencies]\nbase64 = \"0.22.1\"\nbincode = { version = \"2\", features = [\"serde\"] }\nbytes = \"1\"\ncrossterm = \"0.29\"\nctrlc = \"3\"\ninterprocess = \"2.4.2\"\nlibc = \"0.2\"\nportable-pty = \"=0.9.0\"\npng = \"0.17\"\nratatui = { version = \"0.30\", features = [\"unstable-rendered-line-info\"] }\nregex = \"1\"\nserde = { version = \"1\", features = [\"derive\"] }\nserde_json = \"1\"\nsha2 = \"0.10\"\ntokio = { version = \"1\", features = [\"rt-multi-thread\", \"macros\", \"sync\", \"time\"] }\ntoml = \"0.8\"\ntracing = \"0.1.44\"\ntracing-subscriber = { version = \"0.3.23\", features = [\"env-filter\"] }\nunicode-width = \"0.2\"\n\n[patch.crates-io]\nportable-pty = { path = \"vendor/portable-pty\" }\n\n[target.'cfg(windows)'.dependencies]\nwindows-sys = { version = \"0.61.2\", features = [\n \"Wdk_System_Threading\",\n \"Win32_Foundation\",\n \"Win32_System_Diagnostics_Debug\",\n \"Win32_System_Diagnostics_ToolHelp\",\n \"Win32_System_Console\",\n \"Win32_System_Kernel\",\n \"Win32_System_Threading\",\n \"Win32_UI_Shell\",\n \"Win32_UI_WindowsAndMessaging\",\n] }\n",
"strategic_keywords": [
"agent",
"agents",
"rag",
"runtime",
"workspace"
],
"relationship_label": "Memory 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"Cargo.toml"
],
"score_breakdown": {
"heat": 20,
"relevance": 20,
"novelty": 15,
"productize": 14,
"adoption": 10,
"relation": 10,
"risk_signal": 6,
"total": 95
},
"strategic_score": 95
},
{
"owner": "Anil-matcha",
"name": "Open-Generative-AI",
"full_name": "Anil-matcha/Open-Generative-AI",
"url": "https://github.com/Anil-matcha/Open-Generative-AI",
"description": "Unrestricted Open-source alternative to AI video platforms — Free AI image & video generation studio with 200+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.",
"language": "JavaScript",
"total_stars": 21653,
"forks": 3675,
"stars_this_period": 1152,
"source_slice": "javascript",
"source_slices": [
"javascript"
],
"metadata": {
"topics": [
"ai-art-generator",
"ai-image-generation",
"ai-video-generation",
"creative-tools",
"flux",
"flux-1",
"generative-ai",
"image-to-video",
"javascript",
"kling-ai",
"lipsync",
"midjourney-alternative",
"muapi",
"open-source",
"seedance2",
"sora-alternative",
"text-to-image",
"text-to-video",
"uncensored",
"wan-video"
],
"license": "MIT",
"open_issues": 17,
"created_at": "2023-05-09T14:12:37Z",
"pushed_at": "2026-06-28T01:24:28Z",
"homepage": "https://muapi.ai/open-generative-ai?utm_source=github&utm_medium=about&utm_campaign=open-generative-ai",
"default_branch": "main",
"forks": 3676,
"watchers": 164,
"archived": false,
"size_kb": 45518
},
"readme_content": "# Open Generative AI — Unrestricted Open-Source Alternative to AI Video Platforms\n\n[](https://muapi.ai?utm_source=github&utm_medium=badge&utm_campaign=open-generative-ai)\n\n\n> **The free, open-source alternative to AI Video Platforms.** Generate AI images and videos using 200+ state-of-the-art models — no content filters, no closed ecosystem, no subscription fees.\n\n**Community:** Join [Discord](https://discord.gg/tANKJkHck) for discussions and support\n\n
\n\n> Cormorant Garamond serif on warm paper with sage, blush, and lemon accents.\n\n### [Editorial Forest](https://github.com/zarazhangrui/beautiful-html-templates/tree/main/templates/editorial-forest/)\n\n
\n \n \n \n
\n\n> Forest green, dusty pink, and warm cream in Source Serif 4 — quiet, intentional quarterly-review aesthetic.\n\n### [Pin & Paper](https://github.com/zarazhangrui/beautiful-html-templates/tree/main/templates/pin-and-paper/)\n\n
\n \n \n \n
\n\n> Yellow paper with safety-pin illustrations, ink-blue handwritten Caveat, paper-grain texture.\n\n### [Sakura Chroma](https://github.com/zarazhangrui/beautiful-html-templates/tree/main/templates/sakura-chroma/)\n\n
\n\n> Bone paper with stencil-cut headlines and a six-color earth palette: archaeology meets brand.\n\n### [Cobalt Grid](https://github.com/zarazhangrui/beautiful-html-templates/tree/main/templates/cobalt-grid/)\n\n
\n \n \n \n
\n\n> Electric cobalt italic serifs on a graph-paper canvas, anchored by stair-stepped pixel-glitch decorations and slim hairline rules.\n\n### [Vellum](https://github.com/zarazhangrui/beautiful-html-templates/tree/main/templates/vellum/)\n\n
\n Open source alternative to Semrush and Ahrefs\n\nOpenSEO is an SEO tool for _the people_. If tools like Semrush or Ahrefs are too expensive or bloated, OpenSEO is a pay-as-you-go alternative that you actually control.\n\n> All-in-one SEO tool for you and your AI agent.\n\nConnect with any agent like Claude Code, OpenClaw or Hermes. We have pre-built skills, but you can build your own to tailor OpenSEO to your needs.\n\n\n\n## Table of Contents\n\n- [Why use OpenSEO?](#why-use-openseo)\n- [Main SEO Workflows](#main-seo-workflows)\n- [OpenSEO MCP](#openseo-mcp)\n- [OpenSEO Agent Skills](#openseo-agent-skills)\n- [Roadmap](#roadmap)\n- [Community](#community)\n- [Pricing / Costs (Free + API costs)](#pricing--costs)\n- [DataForSEO API Key Setup](#dataforseo-api-key-setup)\n- [Google Search Console](#google-search-console)\n- [Self-hosting](#self-hosting)\n - [Docker Self Hosting](#docker-self-hosting)\n - [Cloudflare Self-Hosting](#cloudflare-self-hosting)\n- [Local Development](#local-development)\n- [Contributing](#contributing)\n- [SEO API Cost Reference](#seo-api-cost-reference)\n\n## Hosted Version\n\nIf you're not interested in self hosting, or just want to support the project, we also have a hosted version:\n\n[openseo.so](https://openseo.so)\n\n## Why use OpenSEO?\n\n- Best in class MCP and AI Skills.\n- Modern, simple UI.\n - Focused workflows instead of a bloated, complex SEO suite.\n- No subscriptions.\n - Bring your own DataForSEO API key and pay only for what you use.\n- Fork and vibe code your own custom tool.\n\n## Main SEO Workflows\n\n- Keyword research\n- Rank tracking\n- Competitor Insights\n- Backlinks\n- Site Audits\n- AI Visibility\n\n## Community\n\nJoin Discord to chat: [Discord](https://discord.gg/c9uGs3cFXr)\n\nFollow along for updates:\n\n- Follow on X: https://x.com/bensenescu\n- Sign up for the mailing list on our website: [openseo.so](https://openseo.so)\n\n## OpenSEO MCP\n\nOpenSEO exposes an MCP server so AI agents can use your SEO data directly.\n\nConnect Claude Code, OpenClaw, Hermes or any other agent.\n\n### Setup\n\n- Set up the app\n- Click \"AI & Agents\" in the header\n- Follow the instructions to connect to your agent\n\n## OpenSEO Agent Skills\n\nOpenSEO Agent Skills are reusable workflows for your agent\n\nThey guide your agent through SEO tasks and use the OpenSEO MCP so your agent makes better recommendations.\n\n### Available Skills\n\n- `seo-project-setup`\n- `seo-coach`\n- `keyword-research`\n- `keyword-clustering`\n- `competitive-landscape`\n- `competitor-analysis`\n- `link-prospecting`\n\n### Installation Guide\n\nRead our docs for how to install the skills:\n\nhttps://openseo.so/docs/skills/setup\n\n## Roadmap\n\nTop priorities:\n\n- Improved and Scheduled Site Audits\n- Custom Reports for Clients\n- Local SEO\n- In App AI Agent\n\nOur top priority is always refining the current product and making existing features better based on user feedback.\n\nIf something important is missing, please join the [Discord](https://discord.gg/c9uGs3cFXr) or email me at ben@openseo.so and request it.\n\n## Pricing / Costs\n\nOpenSEO is totally free to use. It works by using DataForSEO's APIs, which is a paid third-party service unaffiliated with OpenSEO.\n\nThere are two separate things:\n\n1. OpenSEO app cost: $0, you host it yourself.\n2. DataForSEO API: pay-as-you-go based on usage.\n\nFor cost estimates, see [DataForSEO API Cost Reference](#seo-api-cost-reference).\n\n## DataForSEO API Key Setup\n\nOpenSEO uses DataForSEO to fetch SEO data. You need an API key to connect OpenSEO to the service.\n\n1. Go to [DataForSEO API Access](https://app.dataforseo.com/api-access?aff=255379).\n2. Click \"Send by email\" to get set your credentials.\n3. Copy the longer crendentials labelled \"Base64\" credentials.\n4. Set this as `DATAFORSEO_API_KEY` in your environment file:\n\n- Docker self-hosting: `.env`\n- Cloudflare: Set it in the workers UI\n- Local development: `.env.local`\n\n## Google Search Console\n\nSearch Console is optional and works in self-hosted deployments using your own\nGoogle OAuth client. It takes ~10 minutes of one-time setup — see\n[`docs/SELF_HOSTING_GOOGLE_SEARCH_CONSOLE.md`](./docs/SELF_HOSTING_GOOGLE_SEARCH_CONSOLE.md).\n\n## Self-hosting\n\nOpenSEO supports two self-hosting paths:\n\n- Docker for personal use and testing (Recommended for local use).\n- Cloudflare for internet-facing self-hosting across multiple devices or for your team.\n\n_Docker_\n\nDocker is recommended for getting started. It's super easy to get up and running once you install Docker.\n\n_Cloudflare_\n\nIf you love OpenSEO and want to use it across multiple devices or with your team, you can host it on Cloudflare which we'll be a SaaS-like experience. Also, this will have automatic database backups and other nice convenience features. It's just a bit more effort to get started if you're unfamiliar with Cloudflare.\n\n## Docker Self Hosting\n\n> [!WARNING]\n> By default, the Docker version is intended for local use only. It runs in single-user mode with no authentication. For internet-facing self-hosting, use Cloudflare (free plan compatible). Or read [`docs/SELF_HOSTING_DOCKER.md`](./docs/SELF_HOSTING_DOCKER.md) before exposing to the internet.\n\nPrerequisites:\n\n- Install Docker: https://www.docker.com/products/docker-desktop/\n\nQuickstart:\n\n1. `cp .env.example .env`\n2. Set `DATAFORSEO_API_KEY` in `.env`\n3. `docker compose up -d`\n4. Open `http://localhost:` (default `3001`)\n\nTo update to the newest published image, pull first and then restart:\n\n```sh\ndocker compose pull\ndocker compose up -d\n```\n\nFor more info, see [`docs/SELF_HOSTING_DOCKER.md`](./docs/SELF_HOSTING_DOCKER.md).\n\n## Cloudflare Self-Hosting\n\n### Deploy the Worker\n\nClicking this button opens a page to deploy OpenSEO in your Cloudflare account. If you do not have an account yet, it will take you to account creation first (OpenSEO works great on the free plan).\n\nReference these docs while deploying since the Cloudflare UI doesn't indicate what steps you need to take: [`docs/SELF_HOSTING_CLOUDFLARE.md`](./docs/SELF_HOSTING_CLOUDFLARE.md).\n\n[](https://deploy.workers.cloudflare.com/?url=https://github.com/every-app/open-seo)\n\n## Local Development\n\nSee [`docs/LOCAL_DEVELOPMENT.md`](./docs/LOCAL_DEVELOPMENT.md).\n\n## Contributing\n\nContributions are very welcome.\n\n- Open an issue for bugs, UX friction, or feature requests.\n- Open a PR if you want to implement a feature directly.\n- Community-driven improvements are prioritized, and high-quality PRs are encouraged.\n\nIf you want to contribute but are unsure where to start, open an issue and describe what you want to build.\n\n## SEO API Cost Reference\n\nUse this section to estimate DataForSEO spend per request type. OpenSEO itself remains free; these are API usage costs only.\n\nAs of February 26, 2026, DataForSEO’s public docs/pricing pages say:\n\n- New accounts include **$1 free credit** to test the API.\n- The minimum top-up/payment is **$50**.\n\nThat means you can try OpenSEO for free with the starter credit, then decide if/when to top up.\n\n### Planning examples\n\n- Track 100 keywords weekly at depth 50: `~$1.20/month`\n- 100 keyword research requests at the default 150 results: `$3.50`\n- 100 keyword research requests at 500 results each: `$7.00`\n- 100 domain overviews (200 ranked keywords each): `$4.01`\n- 100 backlinks domain searches at current defaults before opening extra tabs: about `$6.34`\n- 100 backlinks page searches at current defaults before opening extra tabs: about `$4.30`\n- 100 fully explored backlinks domain searches: about `$10.94`\n- 100 fully explored backlinks page searches: about `$8.61`\n\n### Pricing sources\n\n- DataForSEO SERP API pricing: https://dataforseo.com/apis/serp-api/pricing\n- DataForSEO Keywords Data API pricing: https://dataforseo.com/pricing/dataforseo-labs/dataforseo-google-api\n- DataForSEO Backlinks pricing: https://dataforseo.com/pricing/backlinks/backlinks\n- DataForSEO Lighthouse API docs: https://docs.dataforseo.com/v3/on_page/lighthouse/overview/\n",
"manifest_file": "package.json",
"manifest_content": "{\n \"name\": \"open-seo\",\n \"private\": true,\n \"sideEffects\": false,\n \"version\": \"0.0.21\",\n \"type\": \"module\",\n \"packageManager\": \"pnpm@10.30.1\",\n \"scripts\": {\n \"dev\": \"vite dev\",\n \"dev:clear-chat\": \"rm -rf .wrangler/state/v3/do/open-seo-OnboardingChatAgent\",\n \"dev:agents\": \"mkdir -p .logs && portless run vite dev 2>&1 | tee .logs/dev-server.log\",\n \"dev:agents:force\": \"mkdir -p .logs && portless --force run vite dev 2>&1 | tee .logs/dev-server.log\",\n \"build\": \"vite build && tsc --noEmit\",\n \"lint\": \"oxlint . --type-aware\",\n \"lint:fix\": \"oxlint . --type-aware --fix\",\n \"preview\": \"npm run build && vite preview --port 3001\",\n \"deploy\": \"npm run db:migrate:prod && npm run build && wrangler deploy\",\n \"sourcemaps:upload\": \"POSTHOG_SOURCEMAPS=true NODE_OPTIONS=--max-old-space-size=8192 npm run build && pnpm dlx @posthog/cli sourcemap inject --directory ./dist-sourcemaps && pnpm dlx @posthog/cli sourcemap upload --directory ./dist-sourcemaps\",\n \"cf-typegen\": \"wrangler types\",\n \"types:check\": \"tsc --noEmit\",\n \"format:check\": \"prettier --check .\",\n \"format:write\": \"prettier . --write\",\n \"auth:generate\": \"pnpm dlx auth@latest generate --config ./cli-auth.ts --adapter drizzle --dialect sqlite --output ./src/db/better-auth-schema.ts\",\n \"db:generate\": \"drizzle-kit generate\",\n \"db:migrate:local\": \"wrangler d1 migrations apply DB --local\",\n \"db:migrate:prod\": \"wrangler d1 migrations apply DB --remote\",\n \"knip\": \"knip\",\n \"release:notes\": \"node scripts/release-notes.mjs\",\n \"test\": \"vitest run\",\n \"test:watch\": \"vitest\",\n \"test:ci\": \"vitest run --reporter=dot\",\n \"test:e2e\": \"playwright test\",\n \"test:e2e:domain\": \"playwright test e2e/domain-overview-filters.spec.ts\",\n \"test:e2e:domain:perf\": \"playwright test e2e/domain-overview-filters.perf.spec.ts\",\n \"test:e2e:keywords\": \"playwright test e2e/keyword-research-navigation.spec.ts\",\n \"billing:backlinks\": \"tsx scripts/backlinks-cost-profile.ts\",\n \"billing:brand-lookup\": \"tsx scripts/brand-lookup-cost-profile.ts\",\n \"cleanup:default-projects:d1\": \"tsx scripts/d1-default-project-cleanup.ts\",\n \"seed:rank-tracking\": \"tsx scripts/seed-rank-tracking.ts\",\n \"ci:check\": \"prettier --check . && knip && tsc --noEmit && oxlint . --type-aware\"\n },\n \"cloudflare\": {\n \"bindings\": {\n \"AUTH_MODE\": {\n \"description\": \"Set to `cloudflare_access` for secured deployments behind Cloudflare Access, or `local_noauth` for trusted local self-host mode only.\"\n },\n \"TEAM_DOMAIN\": {\n \"description\": \"Cloudflare Access team domain (for example `https://your-team.cloudflareaccess.com`) used to validate `cf-access-jwt-assertion` JWTs.\"\n },\n \"POLICY_AUD\": {\n \"description\": \"Cloudflare Access Application Audience (AUD) tag for this Worker route/domain.\"\n },\n \"DATAFORSEO_API_KEY\": {\n \"description\": \"Base64-encoded `login:password` for DataForSEO API access.\"\n },\n \"OAUTH_KV\": {\n \"description\": \"KV namespace used by the Cloudflare Workers OAuth provider for MCP client registrations, grants, and tokens.\"\n }\n }\n },\n \"dependencies\": {\n \"@ai-sdk/react\": \"^3.0.201\",\n \"@cloudflare/ai-chat\": \"^0.8.4\",\n \"@cloudflare/workers-oauth-provider\": \"^0.4.0\",\n \"@every-app/sdk\": \"^0.1.14\",\n \"@modelcontextprotocol/sdk\": \"1.29.0\",\n \"@openrouter/ai-sdk-provider\": \"^2.9.0\",\n \"@tanstack/query-core\": \"^5.90.9\",\n \"@tanstack/react-form\": \"^1.25.0\",\n \"@tanstack/react-query\": \"^5.90.9\",\n \"@tanstack/react-router\": \"^1.168.10\",\n \"@tanstack/react-router-devtools\": \"^1.166.11\",\n \"@tanstack/react-start\": \"^1.167.16\",\n \"@tanstack/react-table\": \"^8.21.3\",\n \"agents\": \"0.15.0\",\n \"ai\": \"^6.0.199\",\n \"autumn-js\": \"^1.1.7\",\n \"better-auth\": \"^1.5.5\",\n \"cheerio\": \"^1.2.0\",\n \"cloudflare\": \"^5.2.0\",\n \"daisyui\": \"^5.5.5\",\n \"dataforseo-client\": \"^2.0.19\",\n \"drizzle-orm\": \"^0.44.4\",\n \"fast-xml-parser\": \"^5.4.1\",\n \"jose\": \"^6.0.12\",\n \"lucide-react\": \"^0.542.0\",\n \"papaparse\": \"^5.5.3\",\n \"posthog-js\": \"^1.363.5\",\n \"posthog-node\": \"^5.28.5\",\n \"react\": \"^19.0.0\",\n \"react-dom\": \"^19.0.0\",\n \"react-markdown\": \"^10.1.0\",\n \"recharts\": \"^3.7.0\",\n \"remark-gfm\": \"^4.0.1\",\n \"remeda\": \"^2.33.6\",\n \"robots-parser\": \"^3.0.1\",\n \"sonner\": \"^2.0.7\",\n \"tailwindcss\": \"^4.1.16\",\n \"tldts\": \"^7.0.25\",\n \"zod\": \"^4.1.12\"\n },\n \"devDependencies\": {\n \"@cloudflare/vite-plugin\": \"^1.40.2\",\n \"@cloudflare/workers-types\": \"^4.20260611.1\",\n \"@libsql/client\": \"^0.15.15\",\n \"@playwright/test\": \"^1.59.1\",\n \"@tailwindcss/vite\": \"^4.1.11\",\n \"@tanstack/devtools-vite\": \"^0.6.0\",\n \"@tanstack/react-devtools\": \"^0.10.1\",\n \"@types/node\": \"^22.18.13\",\n \"@types/papaparse\": \"^5.5.2\",\n \"@types/react\": \"^19.0.8\",\n \"@types/react-dom\": \"^19.0.3\",\n \"@vitejs/plugin-react\": \"^4.6.0\",\n \"drizzle-kit\": \"^0.31.4\",\n \"knip\": \"^5.66.4\",\n \"oxlint\": \"^1.50.0\",\n \"oxlint-tsgolint\": \"^0.1",
"strategic_keywords": [
"agent",
"agents",
"mcp",
"skill",
"workflow"
],
"relationship_label": "Memory 组件",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"package.json"
],
"score_breakdown": {
"heat": 18,
"relevance": 20,
"novelty": 11,
"productize": 14,
"adoption": 10,
"relation": 10,
"risk_signal": 6,
"total": 89
},
"strategic_score": 89
},
{
"owner": "Tencent",
"name": "WeKnora",
"full_name": "Tencent/WeKnora",
"url": "https://github.com/Tencent/WeKnora",
"description": "Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.",
"language": "Go",
"total_stars": 17450,
"forks": 2294,
"stars_this_period": 934,
"source_slice": "go",
"source_slices": [
"go"
],
"metadata": {
"topics": [
"agent",
"agentic",
"ai",
"chatbot",
"embeddings",
"evaluation",
"generative-ai",
"golang",
"knowledge-base",
"llm",
"multi-tenant",
"multimodel",
"ollama",
"openai",
"question-answering",
"rag",
"reranking",
"semantic-search",
"vector-search",
"wiki"
],
"license": "NOASSERTION",
"open_issues": 284,
"created_at": "2025-07-22T08:01:23Z",
"pushed_at": "2026-06-27T16:32:02Z",
"homepage": "https://weknora.weixin.qq.com",
"default_branch": "main",
"forks": 2294,
"watchers": 84,
"archived": false,
"size_kb": 78852
},
"readme_content": "
\n\n\n\n---\n\n## What is LiteLLM\n\nLiteLLM is an open source AI Gateway that gives you a single, unified interface to call 100+ LLM providers — OpenAI, Anthropic, Gemini, Bedrock, Azure, and more — using the OpenAI format.\n\nUse it as a **Python SDK** for direct library integration, or deploy the **AI Gateway (Proxy Server)** as a centralized service for your team or organization.\n\n[**Jump to LiteLLM Proxy (LLM Gateway) Docs**](https://docs.litellm.ai/docs/simple_proxy) \n[**Jump to Supported LLM Providers**](https://docs.litellm.ai/docs/providers)\n\n---\n\n## Why LiteLLM\n\nManaging LLM calls across providers gets complicated fast — different SDKs, auth patterns, request formats, and error types for every model. LiteLLM removes that friction:\n\n- **Unified API** — one interface for 100+ LLMs, no provider-specific SDK juggling\n- **Drop-in OpenAI compatibility** — swap providers without rewriting your code\n- **Production-ready gateway** — virtual keys, spend tracking, guardrails, load balancing, and an admin dashboard out of the box\n- **8ms P95 latency** at 1k RPS ([benchmarks](https://docs.litellm.ai/docs/benchmarks))\n\n### OSS Adopters\n\n
\n
\n
\n
\n
\n
\n
\n
Netflix
\n
\n
\n
\n\n---\n\n## Features\n\n\nLLMs - Call 100+ LLMs (Python SDK + AI Gateway)\n\n[**All Supported Endpoints**](https://docs.litellm.ai/docs/supported_endpoints) - `/chat/completions`, `/responses`, `/embeddings`, `/images`, `/audio`, `/batches`, `/rerank`, `/a2a`, `/messages` and more.\n\n### Python SDK\n\n```shell\nuv add litellm\n```\n\n```python\nfrom litellm import completion\nimport os\n\nos.environ[\"OPENAI_API_KEY\"] = \"your-openai-key\"\nos.environ[\"ANTHROPIC_API_KEY\"] = \"your-anthropic-key\"\n\n# OpenAI\nresponse = completion(model=\"openai/gpt-4o\", messages=[{\"role\": \"user\", \"content\": \"Hello!\"}])\n\n# Anthropic \nresponse = completion(model=\"anthropic/claude-sonnet-4-20250514\", messages=[{\"role\": \"user\", \"content\": \"Hello!\"}])\n```\n\n### AI Gateway (Proxy Server)\n\n[**Getting Started - E2E Tutorial**](https://docs.litellm.ai/docs/proxy/docker_quick_start) - Setup virtual keys, make your first request\n\n```shell\nuv tool install 'litellm[proxy]'\nlitellm --model gpt-4o\n```\n\n```python\nimport openai\n\nclient = openai.OpenAI(api_key=\"anything\", base_url=\"http://0.0.0.0:4000\")\nresponse = client.chat.completions.create(\n model=\"gpt-4o\",\n messages=[{\"role\": \"user\", \"content\": \"Hello!\"}]\n)\n```\n\n[**Docs: LLM Providers**](https://docs.litellm.ai/docs/providers)\n\n\n\n\nAgents - Invoke A2A Agents (Python SDK + AI Gateway)\n\n[**Supported Providers**](https://docs.litellm.ai/docs/a2a#add-a2a-agents) - LangGraph, Vertex AI Agent Engine, Azure AI Foundry, Bedrock AgentCore, Pydantic AI\n\n### Python SDK - A2A Protocol\n\n```python\nfrom litellm.a2a_protocol import A2AClient\nfrom a2a.types import SendMessageRequest, MessageSendParams\nfrom uuid import uuid4\n\nclient = A2AClient(base_url=\"http://localhost:10001\")\n\nrequest = SendMessageRequest(\n id=str(uuid4()),\n params=MessageSendParams(\n message={\n \"role\": \"user\",\n \"parts\": [{\"kind\": \"text\", \"text\": \"Hello!\"}],\n \"messageId\": uuid4().hex,\n }\n )\n)\nresponse = await client.send_message(request)\n```\n\n### AI Gateway (Proxy Server)\n\n**Step 1.** [Add your Agent to the AI Gateway](https://docs.litellm.ai/docs/a2a#adding-your-agent)\n\n**Step 2.** Call Agent via A2A SDK\n\n```python\nfrom a2a.client import A2ACardResolver, A2AClient\nfrom a2a.types import MessageSendParams, SendMessageRequest\nfrom uuid import uuid4\nimport httpx\n\nbase_url = \"http://localhost:4000/a2a/my-agent\" # LiteLLM proxy + agent name\nheaders = {\"Authorization\": \"Bearer sk-1234\"} # LiteLLM Virtual Key\n\nasync with httpx.AsyncClient(headers=headers) as httpx_client:\n resolver = A2ACardResolver(httpx_client=httpx_client, base_url=base_url)\n agent_card = await resolver.get_agent_card()\n client = A2AClient(httpx_client=httpx_client, agent_card=agent_card)\n\n request = SendMessageRequest(\n id=str(uuid4()),\n params=MessageSendParams(\n message={\n \"role\": \"user\",\n \"parts\": [{\"kind\": \"text\", \"text\": \"Hello!\"}],\n \"messageId\": uuid4().hex,\n }\n )\n )\n response = await client.send_message(request)\n```\n\n[**Docs: A2A Agent Gateway**](https://docs.litellm.ai/docs/a2a)\n\n\n\n\nMCP Tools - Connect MCP servers to any LLM (Python SDK + AI Gateway)\n\n### Python SDK - MCP Bridge\n\n```python\nfrom mcp import ClientSession, StdioServerParameters\nfrom mcp.client.stdio import stdio_client\nfrom litellm import experimental_mcp_client\nimport litellm\n\nserver_params = StdioServerParameters(command=\"python\", args=[\"mcp_server.py\"])\n\nasync with stdio_client(server_params) as (read, write):\n async with ClientSession(read, write) as session:\n await session.initialize()\n\n # Load MCP tools in OpenAI format\n tools = await experimental_mcp_client.load_mcp_tools(session=session, format=\"openai\")\n\n # Use with any LiteLLM model\n response = await litellm.acompletion(\n model=\"gpt-4o\",\n messages=[{\"role\": \"user\", \"content\": \"What's 3 + 5?\"}],\n tools=tools\n )\n```\n\n### AI Gateway - MCP Gateway\n\n**Step 1.** [Add your MCP Server to the AI Gateway](https://docs.litellm.ai/docs/mcp#adding-your-mcp)\n\n**Step 2.** Call MCP tools via `/chat/completions`\n\n```bash\ncurl -X POST 'http://0.0.0.0:4000/v1/chat/completions' \\\n -H 'Authorization: Bearer sk-1234' \\\n -H 'Content-Type: application/json' \\\n -d '{\n \"model\": \"gpt-4o\",\n \"messages\": [{\"role\": \"user\", \"content\": \"Summarize the latest open PR\"}],\n \"tools\": [{\n \"type\": \"mcp\",\n \"server_url\": \"litellm_proxy/mcp/github\",\n \"server_label\": \"github_mcp\",\n \"require_approval\": \"never\"\n }]\n }'\n```\n\n### Use with Cursor IDE\n\n```json\n{\n \"mcpServers\": {\n \"LiteLLM\": {\n \"url\": \"http://localhost:4000/mcp/\",\n \"headers\": {\n \"x-litellm-api-key\": \"Bearer sk-1234\"\n }\n }\n }\n}\n```\n\n[**Docs: MCP Gateway**](https://docs.litellm.ai/docs/mcp)\n\n\n\n### Supported Providers ([Website Supported Models](https://models.litellm.ai/) | [Docs](https://docs.litellm.ai/docs/providers))\n\n| Provider | `/chat/completions` | `/messages` | `/responses` | `/embeddings` | `/image/generations` | `/audio/transcriptions` | `/audio/speech` | `/moderations` | `/batches` | `/rerank` |\n|-------------------------------------------------------------------------------------|---------------------|-------------|--------------|---------------|----------------------|-------------------------|-----------------|----------------|-----------|-----------|\n| [Abliteration (`abliteration`)](https://docs.litellm.ai/docs/providers/abliteration) | ✅ | | | | | | | | | |\n| [AI/ML API (`aiml`)](https://docs.litellm.ai/docs/providers/aiml) | ✅ | ✅ | ✅ | ✅ | ✅ | | | | | |\n| [AI21 (`ai21`)](https://docs.litellm.ai/docs/providers/ai21) | ✅ | ✅ | ✅ | | | | | | | |\n| [AI21 Chat (`ai21_chat`)](https://docs.litellm.ai/docs/providers/ai21) | ✅ | ✅ | ✅ | | | | | | | |\n| [Aleph Alpha](https://docs.litellm.ai/docs/providers/aleph_alpha) | ✅ | ✅ | ✅ | | | | | | | |\n| [Amazon Nova](https://docs.litellm.ai/docs/providers/amazon_nova) | ✅ | ✅ | ✅ | | | | | | | |\n| [Anthropic (`anthropic`)](https://docs.litellm.ai/docs/providers/anthropic) | ✅ | ✅ | ✅ | | | | | | ✅ | |\n| [Anthropic Text (`anthropic_text`)](https://docs.litellm.ai/docs/providers/anthropic) | ✅ | ✅ | ✅ | | | | | | ✅ | |\n| [Anyscale](https://docs.litellm.ai/docs/providers/anyscale) | ✅ | ✅ | ✅ | | | | | | | |\n| [AssemblyAI (`assemblyai`)](https://docs.litellm.ai/docs/pass_through/assembly_ai) | ✅ | ✅ | ✅ | | | ✅ | | | | |\n| [Auto Router (`auto_router`)](https://docs.litellm.ai/docs/proxy/auto_routing) | ",
"manifest_file": "pyproject.toml",
"manifest_content": "[project]\nname = \"litellm\"\nversion = \"1.91.0\"\ndescription = \"Library to easily interface with LLM API providers\"\nreadme = \"README.md\"\nrequires-python = \">=3.10, <3.14\"\nlicense = \"MIT\"\nlicense-files = [\"LICENSE\"]\nauthors = [\n { name = \"BerriAI\" },\n]\ndependencies = [\n # Ranges (not exact pins) so SDK consumers can coexist with their other\n # deps. Reproducibility for our Docker/CI comes from `uv.lock`.\n # When changing a floor, verify it installs + imports on every supported\n # Python with: `uv pip install --resolution=lowest-direct .`\n \"fastuuid>=0.14.0,<1.0\",\n \"httpx>=0.28.0,<1.0\",\n \"openai>=2.20.0,<3.0.0\",\n \"python-dotenv>=1.0.0,<2.0\",\n \"tiktoken>=0.8.0,<1.0\",\n \"importlib-metadata>=8.0.0,<9.0\",\n \"tokenizers>=0.21.0,<1.0\",\n \"click>=8.0.0,<9.0\",\n \"jinja2>=3.1.6,<4.0\",\n \"aiohttp>=3.10,<4.0\",\n \"pydantic>=2.10.0,<3.0.0\",\n \"jsonschema>=4.0.0,<5.0\",\n]\n\n[project.urls]\nHomepage = \"https://litellm.ai\"\nRepository = \"https://github.com/BerriAI/litellm\"\nDocumentation = \"https://docs.litellm.ai\"\n\n# Optional extras use compatible ranges (like the core SDK above) so downstream\n# consumers can coexist with other packages and pick up security patches without\n# forking. Reproducibility for our Docker/CI comes from `uv.lock` (images install\n# via `uv sync --frozen`). A few deps stay exact-pinned: litellm's own\n# sub-packages and the opentelemetry trio move in lockstep, and grpcio is\n# supply-chain-pinned to a vetted, aged release.\n[project.optional-dependencies]\nproxy = [\n \"gunicorn>=23.0.0,<24.0\",\n \"uvicorn>=0.33.0,<1.0\",\n \"granian>=2.7.4,<3.0\",\n \"uvloop>=0.21.0,<1.0; sys_platform != 'win32'\",\n \"fastapi>=0.136.3,<1.0\",\n \"starlette>=1.0.1,<2.0\",\n \"backoff>=2.2.1,<3.0\",\n \"pyyaml>=6.0.3,<7.0\",\n \"rq>=2.7.0,<3.0\",\n \"orjson>=3.11.6,<4.0\",\n \"apscheduler>=3.11.2,<4.0\",\n \"fastapi-sso>=0.19.0,<1.0\",\n \"PyJWT>=2.13.0,<3.0\",\n \"python-multipart>=0.0.27,<1.0\",\n \"cryptography>=48.0.1,<49.0\",\n \"pynacl>=1.6.2,<2.0\",\n \"websockets>=15.0.1,<16.0\",\n \"boto3>=1.43.1,<2.0\",\n \"azure-identity>=1.25.2,<2.0\",\n \"azure-storage-blob>=12.28.0,<13.0\",\n \"mcp>=1.26.0,<2.0\",\n \"litellm-proxy-extras==0.4.74\",\n \"litellm-enterprise==0.1.44\",\n \"RestrictedPython>=8.1,<9.0\",\n \"rich>=13.9.4,<14.0\",\n \"polars>=1.38.1,<2.0\",\n \"soundfile>=0.12.1,<1.0\",\n \"pyroscope-io>=0.8.16,<1.0; sys_platform != 'win32'\",\n \"pydantic-settings>=2.14.1,<3.0\",\n \"expression>=5.6.0,<6.0\",\n]\n# Thin client install for the `lite` CLI on developer laptops. The CLI's heavy\n# imports (fastapi, cryptography, ...) are all guarded, so it runs on the base\n# SDK plus just these three; none of the server runtime in `proxy` is pulled in.\ncli = [\n \"rich>=13.9.4,<14.0\",\n \"pyyaml>=6.0.3,<7.0\",\n \"requests>=2.32.0,<3.0\",\n]\nextra_proxy = [\n \"prisma>=0.11.0,<1.0\",\n \"azure-identity>=1.25.2,<2.0\",\n \"azure-keyvault-secrets>=4.10.0,<5.0\",\n # Not in PyPI proxy extra.\n \"google-cloud-kms>=2.24.2,<3.0\",\n \"google-cloud-iam>=2.19.1,<3.0\",\n # Not in PyPI proxy extra.\n \"resend>=2.23.0,<3.0\",\n \"redisvl>=0.4.1,<1.0; python_version < '3.14'\",\n \"a2a-sdk>=0.3.24,<1.0\",\n]\nutils = [\n # Not in Docker or PyPI proxy extra.\n \"numpydoc>=1.8.0,<2.0\",\n]\ncaching = [\"diskcache>=5.6.3,<6.0\"]\nsemantic-router = [\n \"semantic-router>=0.1.15,<1.0; python_version < '3.14'\",\n \"aurelio-sdk>=0.0.19,<1.0; python_version < '3.14'\",\n]\nmlflow = [\"mlflow>=3.11.1,<4.0\"]\ngrpc = [\n # Newest non-yanked release older than the 30-day cutoff.\n \"grpcio==1.78.0\",\n]\nstt-nvidia-riva = [\n # NVIDIA Riva STT provider (gRPC). These are imported lazily inside the\n # provider handler so litellm core remains usable without them.\n \"nvidia-riva-client>=2.15.0\",\n \"soundfile>=0.12.1\",\n \"audioread>=3.0.1\",\n \"numpy>=1.26.0\",\n]\ngoogle = [\"google-cloud-aiplatform>=1.133.0,<2.0\"]\nproxy-runtime = [\n # Historically bundled in the proxy Docker images via requirements.txt.\n # Keep these in a dedicated extra so uv-based images preserve the same\n # feature surface without forcing the base SDK install to grow.\n \"google-cloud-aiplatform>=1.133.0,<2.0\",\n \"google-genai>=1.37.0,<2.0\",\n \"anthropic[vertex]>=0.84.0,<1.0\",\n \"grpcio==1.78.0\",\n \"prometheus-client>=0.20.0,<1.0\",\n \"langfuse>=2.59.7,<3.0\",\n \"opentelemetry-api==1.28.0\",\n \"opentelemetry-sdk==1.28.0\",\n \"opentelemetry-exporter-otlp==1.28.0\",\n \"opentelemetry-instrumentation-fastapi==0.49b0\",\n \"ddtrace>=2.19.0,<3.0\",\n \"sentry-sdk>=2.21.0,<3.0\",\n \"mangum>=0.17.0,<1.0\",\n \"azure-ai-contentsafety>=1.0.0,<2.0\",\n \"azure-storage-file-datalake>=12.20.0,<13.0\",\n \"pypdf>=6.12.0,<7.0; python_version < '3.14'\",\n \"llm-sandbox>=0.3.39,<1.0\",\n \"detect-secrets>=1.5.0,<2.0\",\n]\n\n[project.scripts]\nlitellm = \"litellm:run_server\"\nlite = \"litellm.proxy.client.cli:cli\"\nlitellm-proxy = \"litellm.proxy.client.cli:cli\"\n\n[dependency-groups]\ndev = [\n \"diff-cover==9.7.2\",\n \"flake8==7.3.0\",\n ",
"strategic_keywords": [
"mcp",
"workspace",
"llm"
],
"relationship_label": "Skill 来源",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"pyproject.toml"
],
"score_breakdown": {
"heat": 20,
"relevance": 20,
"novelty": 11,
"productize": 14,
"adoption": 10,
"relation": 9,
"risk_signal": 6,
"total": 90
},
"strategic_score": 90
},
{
"owner": "vercel-labs",
"name": "agent-browser",
"full_name": "vercel-labs/agent-browser",
"url": "https://github.com/vercel-labs/agent-browser",
"description": "Browser automation CLI for AI agents",
"language": "Rust",
"total_stars": 37422,
"forks": 2401,
"stars_this_period": 815,
"source_slice": "rust",
"source_slices": [
"rust"
],
"metadata": {
"topics": [],
"license": "Apache-2.0",
"open_issues": 545,
"created_at": "2026-01-11T05:38:15Z",
"pushed_at": "2026-06-26T17:22:26Z",
"homepage": "https://agent-browser.dev",
"default_branch": "main",
"forks": 2401,
"watchers": 98,
"archived": false,
"size_kb": 18243
},
"readme_content": "# agent-browser\n\nBrowser automation CLI for AI agents. Fast native Rust CLI.\n\n[](https://skills.sh/vercel-labs/agent-browser)\n\n## Installation\n\n### Global Installation (recommended)\n\nInstalls the native Rust binary:\n\n```bash\nnpm install -g agent-browser\nagent-browser install # Download Chrome from Chrome for Testing (first time only)\n```\n\n### Project Installation (local dependency)\n\nFor projects that want to pin the version in `package.json`:\n\n```bash\nnpm install agent-browser\nagent-browser install\n```\n\nThen use via `package.json` scripts or by invoking `agent-browser` directly.\n\n### Homebrew (macOS)\n\n```bash\nbrew install agent-browser\nagent-browser install # Download Chrome from Chrome for Testing (first time only)\n```\n\n### Cargo (Rust)\n\n```bash\ncargo install agent-browser\nagent-browser install # Download Chrome from Chrome for Testing (first time only)\n```\n\n### From Source\n\nRequires Node.js 24+, pnpm 11+, and Rust.\n\n```bash\ngit clone https://github.com/vercel-labs/agent-browser\ncd agent-browser\npnpm install\npnpm build\npnpm build:native # Requires Rust (https://rustup.rs)\npnpm link --global # Makes agent-browser available globally\nagent-browser install\n```\n\n### Linux Dependencies\n\nOn Linux, install system dependencies:\n\n```bash\nagent-browser install --with-deps\n```\n\nThis exits nonzero if the package manager cannot install every required browser library.\n\n### Updating\n\nUpgrade to the latest version:\n\n```bash\nagent-browser upgrade\n```\n\nDetects your installation method (npm, Homebrew, or Cargo) and runs the appropriate update command automatically.\n\n### Requirements\n\n- **Chrome** - Run `agent-browser install` to download Chrome from [Chrome for Testing](https://developer.chrome.com/blog/chrome-for-testing/) (Google's official automation channel). Existing Chrome, Brave, Playwright, and Puppeteer installations are detected automatically. No Playwright or Node.js required for the daemon.\n- **Node.js 24+ and pnpm 11+** - Only needed when building from source.\n- **Rust** - Only needed when building from source (see From Source above).\n\n## Quick Start\n\n```bash\nagent-browser open example.com\nagent-browser snapshot # Get accessibility tree with refs\nagent-browser click @e2 # Click by ref from snapshot\nagent-browser fill @e3 \"test@example.com\" # Fill by ref\nagent-browser get text @e1 # Get text by ref\nagent-browser screenshot page.png\nagent-browser close\n```\n\nClicks fail early when another element covers the target's click point, for example a consent banner or modal. Dismiss or interact with the reported covering element, then take a fresh snapshot before retrying the original ref.\n\nHeadless Chromium screenshots hide native scrollbars for consistent image output. Pass `--hide-scrollbars false` when launching to keep native scrollbars visible.\n\n### Traditional Selectors (also supported)\n\n```bash\nagent-browser click \"#submit\"\nagent-browser fill \"#email\" \"test@example.com\"\nagent-browser find role button click --name \"Submit\"\n```\n\n## Commands\n\n### Core Commands\n\n```bash\nagent-browser open # Launch browser (no navigation); stays on about:blank\nagent-browser open # Launch + navigate to URL (aliases: goto, navigate)\nagent-browser read [url] # Fetch agent-readable text, or read rendered active-tab DOM\nagent-browser click # Click element (--new-tab to open in new tab)\nagent-browser dblclick # Double-click element\nagent-browser focus # Focus element\nagent-browser type # Type into element\nagent-browser fill # Clear and fill\nagent-browser press # Press key (Enter, Tab, Control+a) (alias: key)\nagent-browser keyboard type # Type with real keystrokes (no selector, current focus)\nagent-browser keyboard inserttext # Insert text without key events (no selector)\nagent-browser keydown # Hold key down\nagent-browser keyup # Release key\nagent-browser hover # Hover element\nagent-browser select # Select dropdown option\nagent-browser check # Check checkbox\nagent-browser uncheck # Uncheck checkbox\nagent-browser scroll [px] # Scroll (up/down/left/right, --selector )\nagent-browser scrollintoview # Scroll element into view (alias: scrollinto)\nagent-browser drag # Drag and drop\nagent-browser upload # Upload files\nagent-browser screenshot [path] # Take screenshot (--full for full page, saves to a temporary directory if no path)\nagent-browser screenshot --annotate # Annotated screenshot with numbered element labels\nagent-browser screenshot --screenshot-dir ./shots # Save to custom directory\nagent-browser screenshot --screenshot-format jpeg --screenshot-quality 80\nagent-browser pdf # Save as PDF\nagent-browser snapshot # Accessibility tree with refs (best for AI)\nagent-browser eval # Run JavaScript (-b for base64, --stdin for piped input)\nagent-browser connect # Connect to browser via CDP\nagent-browser stream enable [--port ] # Start runtime WebSocket streaming\nagent-browser stream status # Show runtime streaming state and bound port\nagent-browser stream disable # Stop runtime WebSocket streaming\nagent-browser close # Close browser (aliases: quit, exit)\nagent-browser close --all # Close all active sessions\nagent-browser chat \"\" # AI chat: natural language browser control (single-shot)\nagent-browser chat # AI chat: interactive REPL mode\n```\n\n### Get Info\n\n```bash\nagent-browser get text # Get text content\nagent-browser get html # Get innerHTML\nagent-browser get value # Get input value\nagent-browser get attr # Get attribute\nagent-browser get title # Get page title\nagent-browser get url # Get current URL\nagent-browser get cdp-url # Get CDP WebSocket URL (for DevTools, debugging)\nagent-browser get count # Count matching elements\nagent-browser get box # Get bounding box\nagent-browser get styles # Get computed styles\n```\n\n### Read Agent-Friendly Text\n\n```bash\nagent-browser read\nagent-browser read https://example.com/article\nagent-browser read https://example.com/article --filter overview\nagent-browser read https://example.com/article --outline\nagent-browser read https://docs.example.com --llms index --filter auth\nagent-browser read https://docs.example.com --llms full --filter auth\nagent-browser read example.com/article --require-md\nagent-browser read https://example.com/article --json\n```\n\n`read` fetches a URL without launching Chrome. Omit the URL to read the rendered DOM of the active tab in the current browser session, including browser auth state and client-side updates. Explicit URL reads send `Accept: text/markdown` by default, try the same URL with `.md` appended when the first response is not markdown, walk ancestor paths toward `/` to find the nearest `llms.txt` for a matching docs link, print markdown or plain text when available, and fall back to readable text extracted from HTML. `--llms` and `--require-md` with no URL use the active tab URL because they depend on HTTP resources. `read` does not read `llms-full.txt` unless you ask for it.\n\nOptions: `--raw` prints the response body without HTML extraction, `--require-md` fails unless the server returns `Content-Type: text/markdown`, `--outline` prints a compact heading outline for one page, `--llms index` prints a compact nearest-ancestor `llms.txt` link list, `--llms full` reads the nearest-ancestor `llms-full.txt`, `--filter ` narrows page sections, llms links/sections, or outline headings, and `--timeout ` changes the request timeout. Global safeguards such as `--allowed-domains`, `--content-boundaries`, and `--max-output` also apply to read fetches and output.\n\n### Check State\n\n```bash\nagent-browser is visible # Check if visible\nagent-browser is enabled # Check if enabled\nagent-browser is checked # Check if checked\n```\n\n### Find Elements (Semantic Locators)\n\n```bash\nagent-browser find role [value] # By ARIA role\nagent-browser find text # By text content\nagent-browser find label
![\"OpenMontage\"](\"assets/logo.png\"){kind=logo}
\n![\"License\"](\"https://img.shields.io/badge/license-AGPLv3-blue.svg\"){kind=icon}
\n![\"🏆](\".github/assets/repo-of-the-day-dark.svg\")
\n ![\"YouTube\"](\"https://img.shields.io/badge/YouTube-%40OpenMontage-FF0000?style=for-the-badge&logo=youtube&logoColor=white\"){kind=icon}
![\"X\"](\"https://img.shields.io/badge/X-%40calesthioailabs-111111?style=for-the-badge&logo=x&logoColor=white\"){kind=icon}
![\"GitHub](\"https://img.shields.io/badge/Community-GitHub%20Discussions-0b1220?style=for-the-badge&logo=github&logoColor=white\"){kind=icon}
![\"MIT](\"https://img.shields.io/badge/License-MIT-blue.svg?style=for-the-badge\"){kind=icon}
\n ![\"Python](\"https://img.shields.io/badge/Python-3.10+-green.svg?style=for-the-badge&logo=python&logoColor=white\"){kind=icon}
\n ![\"GitHub](\"https://img.shields.io/github/stars/Panniantong/agent-reach?style=for-the-badge\")
![\"Graph](\"docs/graph-ui-screenshot.png\")
\n ![\"Featured｜HelloGitHub\"](\"https://api.hellogithub.com/v1/widgets/recommend.svg?rid=6daa16e405ce46ed97b4a57706aeb29f&claim_uid=pfiJMqhR9uvDGlT&theme=neutral\")
\n![\"Anspire](\"./docs/assets/anspire.png\")
\n ![\"轻松抓取搜索引擎上的实时金融新闻数据](\"./docs/assets/serpapi_banner_zh.png\")
\n ![\"DSA](\"docs/assets/readme_workspace_tour_20260510.gif\")
\n![\"小红书二维码\"](\"./docs/assets/xiaohongshu_tick.jpg\")
![\"Download](\"./assets/macos-badge.png\"){kind=icon}
\n\n\nRequires macOS 26 (Tahoe) on Apple Silicon\n\n![\"Follow](\"https://img.shields.io/badge/Follow-%40Palmier__io-000000?style=flat&logo=x&logoColor=white\"){kind=icon}
\n![\"Join](\"https://img.shields.io/badge/Join-Discord-5865F2?style=flat&logo=discord&logoColor=white\"){kind=icon}
\n![\"Y](\"https://img.shields.io/badge/Y%20Combinator-S24-orange\"){kind=icon}
\n\n![\"Palmier](\"./assets/palmier-ui.png\")
\n\n---\n\nPalmier Pro is an open source video editor for Mac. You and your agent can generate and edit videos together inside the timeline.\n\n### Swift-native video editor\n\nWe built Palmier Pro from scratch with Swift. The north star is Premiere Pro, with our take on integrating AI into the workflow.\n\n### Built-in Generative AI\n\nGenerate videos and images with SOTA models like Seedance, Kling, Nano Banana Pro inside the timeline editor.\n\n### Integrates with your agents\n\nConnects your Claude/Codex/Cursor via MCP, or use the in-app agent to work on the same project together.\n\n## MCP server\n\nWhen the app is open, it exposes an MCP server at `http://127.0.0.1:19789/mcp` via HTTP. To connect:\n\n**Claude Code**\n```bash\nclaude mcp add --transport http palmier-pro http://127.0.0.1:19789/mcp\n```\n\n**Codex**\n```bash\ncodex mcp add palmier-pro --url http://127.0.0.1:19789/mcp\n```\n\n**Cursor**\n\nThe easiest way is go inside the app `Help` -> `MCP Instructions` -> `Install in Cursor`, or install manually by adding this to `~/.cursor/mcp.json`:\n\n```\n{\n \"mcpServers\": {\n \"palmier-pro\": {\n \"type\": \"http\",\n \"url\": \"http://127.0.0.1:19789/mcp\"\n }\n }\n}\n```\n\n**Claude Desktop**\n\nWe bundle a [mcpb](https://github.com/modelcontextprotocol/mcpb) with the app that allows a one click install Desktop Extension on Claude Desktop. Go to `Help` -> `MCP Instructions` -> `Install in Claude Desktop`\n\n## FAQ\n\n**Is Palmier Pro fully open source?**\n\nThe video editor (without the generative AI features) is fully open source. The MCP server and the agent chat are also open source. The only thing that is closed source is the generative AI processing.\n\n**Is it free?**\n\nThe editor is free. You can download it with no login required, and use it as a video editor like CapCut or Adobe Premiere. You can also use the MCP server for free, and start experimenting using Claude Code/Desktop or Cursor to interact with your timeline editor.\n\nGenerative AI features require login and subscription.\n\n**What platforms does it support?**\n\nmacOS 26 (Tahoe) on Apple Silicon only.\n\nSee [FAQ.md](FAQ.md) for more.\n\n## Development\n\nSee [CONTRIBUTING.md](CONTRIBUTING.md)\n\n## Community & Support\n\n- **Discord:** Join the community on **[Discord](https://discord.com/invite/SMVW6pKYmg)**.\n- **Twitter / X:** Follow **[@Palmier_io](https://x.com/Palmier_io)** for updates and announcements.\n- **Instagram:** Follow [@palmier.io](https://www.instagram.com/palmier.io) \n- **Feedback & Support:** Create a [Github Issue](https://github.com/palmier-io/palmier-pro/issues) or email us at founders@palmier.io\n\n## Star History\n\n\n ![\"Cognee](\"https://raw.githubusercontent.com/topoteretes/cognee/refs/heads/dev/assets/cognee-logo-transparent.png\"){kind=logo}
\n \n\n ![\"Sponsor\"](\"https://img.shields.io/badge/Sponsor-❤️-ff69b4.svg\"){kind=icon}
\n\n![\"Cognee](\"assets/cognee-demo.gif\")
\n![\"Cognee](\"assets/remember.svg\")
\n![\"Cognee](\"assets/recall.svg\")
\n![\"Anthropic](\"assets/banner.png\")
\n![\"MIT](\"https://img.shields.io/badge/license-MIT-blue\"){kind=icon}
![\"Stars\"](\"https://img.shields.io/github/stars/JCodesMore/ai-website-cloner-template?style=flat\")
![\"Discord\"](\"https://img.shields.io/discord/1400896964597383279?label=discord\")
\n\nA reusable template for reverse-engineering any website into a clean, modern Next.js codebase using AI coding agents. \n\n**Recommended: [Claude Code](https://docs.anthropic.com/en/docs/claude-code) with Opus 4.7 for best results** — but works with a variety of AI coding agents.\n\nPoint it at a URL, run `/clone-website`, and your AI agent will inspect the site, extract design tokens and assets, write component specs, and dispatch parallel builders to reconstruct every section.\n\n## Demo\n\n[](https://youtu.be/O669pVZ_qr0)\n\n> Click the image above to watch the full demo on YouTube.\n\n## Quick Start\n\n> **Important:** Start by making your own copy with GitHub's **Use this template** button. Do not clone this template repository directly for your website project, and do not open pull requests here with your generated website.\n\n1. **Create your own repository from this template**\n\n On the GitHub page for this project, click **Use this template**, then click **Create a new repository**.\n\n Give your new repository a name, choose whether it should be public or private, then click **Create repository**. If GitHub shows an **Include all branches** option, you can leave it off.\n\n This gives you your own separate project to work in, so your website changes stay in your account instead of coming back to the main template.\n\n2. **Open your new repository on your computer**\n\n After GitHub creates your copy, open that new repository. Click **Code** and open or clone your new repository with your preferred coding tool.\n\n If you use the terminal, the command will look like this:\n\n ```bash\n git clone https://github.com/YOUR-USERNAME/YOUR-NEW-REPOSITORY.git\n cd YOUR-NEW-REPOSITORY\n ```\n\n3. **Install dependencies**\n ```bash\n npm install\n ```\n4. **Start your AI agent** — Claude Code recommended:\n ```bash\n claude --chrome\n ```\n5. **Run the skill**:\n ```\n /clone-website ![\"Voicebox\"](\".github/assets/icon-dark.webp\"){kind=icon}
\n![\"Downloads\"](\"https://img.shields.io/github/downloads/jamiepine/voicebox/total?style=flat&color=blue\")
![\"Release\"](\"https://img.shields.io/github/v/release/jamiepine/voicebox?style=flat\")
![\"Stars\"](\"https://img.shields.io/github/stars/jamiepine/voicebox?style=flat\")
![\"License\"](\"https://img.shields.io/github/license/jamiepine/voicebox?style=flat\")
![\"Ask](\"https://img.shields.io/static/v1?label=Ask&message=DeepWiki&color=5B6EF7\")
![\"Voicebox](\"landing/public/assets/app-screenshot-1.webp\")
\n \n![\"Voicebox](\"landing/public/assets/app-screenshot-2.webp\")
\n![\"Voicebox](\"landing/public/assets/app-screenshot-3.webp\")
\n
\n
![\"Verified](\"https://img.shields.io/badge/Verified-DPG-3333AB?logo=data:image/svg%2bxml;base64,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\"){kind=icon}
![\"Penpot](\"https://img.shields.io/discourse/posts?server=https%3A%2F%2Fcommunity.penpot.app\")
![\"Managed](\"https://img.shields.io/badge/managed%20with-TAIGA.io-709f14.svg\"){kind=icon}
\n \n \n ![\"Gitpod](\"https://img.shields.io/badge/Gitpod-ready--to--code-blue?logo=gitpod\"){kind=icon}
![\"Stirling](\"https://raw.githubusercontent.com/Stirling-Tools/Stirling-PDF/main/docs/stirling.png\")
\n![\"Docker](\"https://img.shields.io/docker/pulls/frooodle/s-pdf\")
![\"Discord\"](\"https://img.shields.io/discord/1068636748814483718?label=Discord\")
![\"GitHub](\"https://img.shields.io/github/stars/stirling-tools/stirling-pdf?style=social\")
![](\"https://gcore.jsdelivr.net/gh/opendatalab/MinerU@master/docs/images/MinerU-logo.png\"){kind=logo}
\n![](\"https://opencollective.com/iptv-org/backers.svg?width=890\")
\r\n\r\n### Contributors\r\n\r\n![](\"https://opencollective.com/iptv-org/contributors.svg?width=890\")
\r\n\r\n## Legal\r\n\r\nNo video files are stored in this repository. The repository simply contains user-submitted links to publicly available video stream URLs, which to the best of our knowledge have been intentionally made publicly by the copyright holders. If any links in these playlists infringe on your rights as a copyright holder, they may be removed by opening an [issue](https://github.com/iptv-org/iptv/issues/new?template=6_copyright-claim.yml). However, note that we have **no control** over the destination of the link, and just removing the link from the playlist will not remove its contents from the web. Note that linking does not directly infringe copyright because no copy is made on the site providing the link, and thus this is **not** a valid reason to send a DMCA notice to GitHub. To remove this content from the web, you should contact the web host that's actually hosting the content (**not** GitHub, nor the maintainers of this repository).\r\n\r\n## License\r\n\r\n[](LICENSE)\r\n\r\n",
"manifest_file": "package.json",
"manifest_content": "{\r\n \"name\": \"iptv\",\r\n \"scripts\": {\r\n \"act:check\": \"gh act pull_request -W .github/workflows/check.yml\",\r\n \"act:format\": \"gh act workflow_dispatch -W .github/workflows/format.yml\",\r\n \"act:update\": \"gh act workflow_dispatch -W .github/workflows/update.yml\",\r\n \"api:load\": \"tsx scripts/commands/api/load.ts\",\r\n \"playlist:format\": \"tsx scripts/commands/playlist/format.ts\",\r\n \"playlist:update\": \"tsx scripts/commands/playlist/update.ts\",\r\n \"playlist:generate\": \"tsx scripts/commands/playlist/generate.ts\",\r\n \"playlist:validate\": \"tsx scripts/commands/playlist/validate.ts\",\r\n \"playlist:lint\": \"npx m3u-linter -c m3u-linter.json\",\r\n \"playlist:test\": \"tsx scripts/commands/playlist/test.ts\",\r\n \"playlist:edit\": \"tsx scripts/commands/playlist/edit.ts\",\r\n \"playlist:export\": \"tsx scripts/commands/playlist/export.ts\",\r\n \"readme:update\": \"tsx scripts/commands/readme/update.ts\",\r\n \"report:create\": \"tsx scripts/commands/report/create.ts\",\r\n \"lint\": \"npx eslint \\\"scripts/**/*.{ts,js}\\\" \\\"tests/**/*.{ts,js}\\\"\",\r\n \"test\": \"jest --runInBand\",\r\n \"postinstall\": \"npm run api:load\"\r\n },\r\n \"jest\": {\r\n \"transform\": {\r\n \"^.+\\\\.ts$\": \"@swc/jest\"\r\n },\r\n \"testRegex\": \"tests/(.*?/)?.*test.ts$\",\r\n \"setupFilesAfterEnv\": [\r\n \"jest-expect-message\"\r\n ]\r\n },\r\n \"author\": \"Arhey\",\r\n \"private\": true,\r\n \"license\": \"MIT\",\r\n \"dependencies\": {\r\n \"@alex_neo/jest-expect-message\": \"^1.0.5\",\r\n \"@eslint/eslintrc\": \"^3.3.1\",\r\n \"@eslint/js\": \"^9.32.0\",\r\n \"@freearhey/core\": \"^0.14.3\",\r\n \"@freearhey/storage-js\": \"^0.1.0\",\r\n \"@inquirer/prompts\": \"^7.8.0\",\r\n \"@iptv-org/sdk\": \"^1.5.0\",\r\n \"@octokit/core\": \"^7.0.3\",\r\n \"@octokit/plugin-paginate-graphql\": \"^6.0.0\",\r\n \"@octokit/plugin-paginate-rest\": \"^13.1.1\",\r\n \"@octokit/plugin-rest-endpoint-methods\": \"^16.0.0\",\r\n \"@octokit/types\": \"^14.1.0\",\r\n \"@stylistic/eslint-plugin\": \"^5.2.2\",\r\n \"@swc/jest\": \"^0.2.39\",\r\n \"@types/async\": \"^3.2.25\",\r\n \"@types/cli-progress\": \"^3.11.6\",\r\n \"@types/fs-extra\": \"^11.0.4\",\r\n \"@types/jest\": \"^30.0.0\",\r\n \"@types/lodash.uniqueid\": \"^4.0.9\",\r\n \"@types/node-cleanup\": \"^2.1.5\",\r\n \"@typescript-eslint/eslint-plugin\": \"^8.38.0\",\r\n \"@typescript-eslint/parser\": \"^8.38.0\",\r\n \"async\": \"^3.2.6\",\r\n \"axios\": \"^1.15.2\",\r\n \"chalk\": \"^5.4.1\",\r\n \"cli-progress\": \"^3.12.0\",\r\n \"commander\": \"^14.0.0\",\r\n \"console-table-printer\": \"^2.14.6\",\r\n \"cross-env\": \"^10.0.0\",\r\n \"es-toolkit\": \"^1.45.1\",\r\n \"eslint\": \"^9.32.0\",\r\n \"glob\": \"^11.0.3\",\r\n \"globals\": \"^16.3.0\",\r\n \"hls-parser\": \"^0.16.0\",\r\n \"iptv-playlist-parser\": \"^0.15.1\",\r\n \"jest\": \"^30.0.5\",\r\n \"jest-expect-message\": \"^1.1.3\",\r\n \"lodash.uniqueid\": \"^4.0.1\",\r\n \"m3u-linter\": \"^0.4.3\",\r\n \"mediainfo.js\": \"^0.3.6\",\r\n \"mpd-parser\": \"^1.3.1\",\r\n \"node-cleanup\": \"^2.1.2\",\r\n \"normalize-url\": \"^8.1.0\",\r\n \"socks-proxy-agent\": \"^8.0.5\",\r\n \"tsx\": \"^4.20.3\"\r\n },\r\n \"overrides\": {\r\n \"esbuild\": \"0.23.1\",\r\n \"@xmldom/xmldom\": \">=0.8.13 <1.0.0\"\r\n }\r\n}\r\n",
"strategic_keywords": [
"workflow",
"protocol"
],
"relationship_label": "Skill 来源",
"data_confidence": "high",
"evidence_sources": [
"github_trending",
"github_repo_api",
"readme",
"package.json"
],
"score_breakdown": {
"heat": 20,
"relevance": 14,
"novelty": 15,
"productize": 14,
"adoption": 10,
"relation": 8,
"risk_signal": 8,
"total": 89
},
"strategic_score": 89
},
{
"owner": "asgeirtj",
"name": "system_prompts_leaks",
"full_name": "asgeirtj/system_prompts_leaks",
"url": "https://github.com/asgeirtj/system_prompts_leaks",
"description": "Extracted system prompts from Anthropic - Claude Fable 5, Opus 4.8, Claude Code, Claude Design. OpenAI - ChatGPT 5.5 Thinking, GPT 5.5 Instant, Codex. Google - Gemini 3.5 Flash, 3.1 Pro, Antigravity. xAI - Grok, Cursor, Copilot, VS Code, Perplexity, and more. Updated regularly.",
"language": "JavaScript",
"total_stars": 46857,
"forks": 7668,
"stars_this_period": 2775,
"source_slice": "javascript",
"source_slices": [
"javascript"
],
"metadata": {
"topics": [
"ai",
"ai-agents",
"anthropic",
"awesome",
"chatbot",
"chatgpt",
"claude",
"claude-code",
"codex",
"deep-learning",
"education",
"gemini",
"generative-ai",
"google",
"llm",
"machine-learning",
"nlp",
"open-source",
"openai",
"prompt-engineering"
],
"license": "CC0-1.0",
"open_issues": 24,
"created_at": "2025-05-03T02:43:56Z",
"pushed_at": "2026-06-28T00:24:32Z",
"homepage": "https://asgeirtj.github.io/system_prompts_leaks/",
"default_branch": "main",
"forks": 7668,
"watchers": 550,
"archived": false,
"size_kb": 6849
},
"readme_content": "> **As seen in The Washington Post:** [See the hidden rules behind AI. Then use them to rewrite this article.](https://wapo.st/49t4gSb) (May 11, 2026)\n# System Prompts Leaks\nThe purpose of this repo is to document the System Prompt instructions for all the AI chatbots out there - Claude, ChatGPT, Gemini etc.\n\n![\"Web](\"https://img.shields.io/badge/Web_App-worldmonitor.app-blue?style=for-the-badge&logo=googlechrome&logoColor=white\"){kind=icon}
![\"Tech](\"https://img.shields.io/badge/Tech_Variant-tech.worldmonitor.app-0891b2?style=for-the-badge&logo=googlechrome&logoColor=white\"){kind=icon}
![\"Finance](\"https://img.shields.io/badge/Finance_Variant-finance.worldmonitor.app-059669?style=for-the-badge&logo=googlechrome&logoColor=white\"){kind=icon}
![\"Commodity](\"https://img.shields.io/badge/Commodity_Variant-commodity.worldmonitor.app-b45309?style=for-the-badge&logo=googlechrome&logoColor=white\"){kind=icon}
![\"Happy](\"https://img.shields.io/badge/Happy_Variant-happy.worldmonitor.app-f59e0b?style=for-the-badge&logo=googlechrome&logoColor=white\"){kind=icon}
![\"Energy](\"https://img.shields.io/badge/Energy_Variant-energy.worldmonitor.app-eab308?style=for-the-badge&logo=googlechrome&logoColor=white\"){kind=icon}
![\"Download](\"https://img.shields.io/badge/Download-Windows_(.exe)-0078D4?style=for-the-badge&logo=windows&logoColor=white\"){kind=icon}
![\"Download](\"https://img.shields.io/badge/Download-macOS_Apple_Silicon-000000?style=for-the-badge&logo=apple&logoColor=white\"){kind=icon}
![\"Download](\"https://img.shields.io/badge/Download-macOS_Intel-555555?style=for-the-badge&logo=apple&logoColor=white\"){kind=icon}
![\"Download](\"https://img.shields.io/badge/Download-Linux_(.AppImage)-FCC624?style=for-the-badge&logo=linux&logoColor=black\"){kind=icon}
![\"HyperFrames\"](\"docs/logo/light.svg\"){kind=logo}
\n ![\"npm](\"https://img.shields.io/npm/v/hyperframes.svg?style=flat\")
\n ![\"npm](\"https://img.shields.io/npm/dm/hyperframes.svg?style=flat\")
\n ![\"License\"](\"https://img.shields.io/badge/license-Apache%202.0-blue.svg\"){kind=icon}
\n ![\"Node.js\"](\"https://img.shields.io/badge/node-%3E%3D22-brightgreen\"){kind=icon}
![\"Discord\"](\"https://img.shields.io/badge/Discord-Join-5865F2?logo=discord&logoColor=white\"){kind=icon}
![\"HyperFrames](\"https://static.heygen.ai/hyperframes-oss/docs/images/hyperframes-logo-motion-1280.webp\"){kind=logo}
\n![\"Biennale](\"https://static.heygen.ai/hyperframes-oss/docs/images/design-templates/biennale-yellow.png\")
\n ![\"BlockFrame\"](\"https://static.heygen.ai/hyperframes-oss/docs/images/design-templates/blockframe.png\")
\n ![\"Blue](\"https://static.heygen.ai/hyperframes-oss/docs/images/design-templates/blue-professional.png\")
\n ![\"Bold](\"https://static.heygen.ai/hyperframes-oss/docs/images/design-templates/bold-poster.png\")
\n ![\"Broadside\"](\"https://static.heygen.ai/hyperframes-oss/docs/images/design-templates/broadside.png\")
\n ![\"Capsule\"](\"https://static.heygen.ai/hyperframes-oss/docs/images/design-templates/capsule.png\")
\n ![\"Orca](\"docs/assets/feature-wall/mobile-companion-app-showcase.gif\")
![\"Parallel](\"docs/assets/feature-wall/parallel-worktrees.gif\")
![\"Terminal](\"docs/assets/feature-wall/terminal-splits.gif\")
![\"Embedded](\"docs/assets/feature-wall/design-mode.gif\")
![\"GitHub](\"docs/assets/feature-wall/github-linear.gif\")
![\"Remote](\"docs/assets/feature-wall/ssh-worktrees.gif\")
![\"Annotate](\"docs/assets/feature-wall/annotate-diff.gif\")
![\"Drag](\"docs/assets/feature-wall/file-drag.gif\")
![\"Script](\"docs/assets/feature-wall/orca-cli.gif\")
![\"Claude](\"docs/assets/claude-logo.svg\"){kind=logo}
Claude Code \n ![\"OpenClaude](\"resources/openclaude-logo.png\"){kind=logo}
OpenClaude \n ![\"Pi](\"https://pi.dev/favicon.svg\")
Pi \n ![\"oh-my-pi](\"https://omp.sh/favicon.svg\")
oh-my-pi \n ![\"TREK\"](\"docs/logo-trek-light.gif\"){kind=logo}
\n![\"Your](\"docs/subtitle-light.png\")
\n![\"Demo\"](\"https://img.shields.io/badge/Demo-try-111827?style=for-the-badge\"){kind=icon}
![\"Docker\"](\"https://img.shields.io/badge/Docker-ready-2496ED?style=for-the-badge\"){kind=icon}
![\"Discord\"](\"https://img.shields.io/badge/Discord-join-5865F2?style=for-the-badge\"){kind=icon}
![\"Roadmap\"](\"https://img.shields.io/badge/Roadmap-view-0EA5E9?style=for-the-badge\"){kind=icon}
![\"Ko-fi\"](\"https://img.shields.io/badge/Ko--fi-support-FF5E5B?style=for-the-badge\"){kind=icon}
![\"BMAC\"](\"https://img.shields.io/badge/BMAC-support-FFDD00?style=for-the-badge\"){kind=icon}
![\"License\"](\"https://img.shields.io/badge/license-AGPL_v3-6B7280?style=flat-square\"){kind=icon}
![\"Latest](\"https://img.shields.io/github/v/release/mauriceboe/TREK?include_prereleases&style=flat-square&color=6B7280\")
![\"Docker](\"https://img.shields.io/docker/pulls/mauriceboe/trek?style=flat-square&color=6B7280\")
![\"Stars\"](\"https://img.shields.io/github/stars/mauriceboe/TREK?style=flat-square&color=6B7280\")
\n\n\n\n![\"TREK](\"https://github.com/mauriceboe/trek-media/releases/download/readme-assets/TREK1.gif\")
\n\n![\"Dashboard\"](\"docs/screenshots/dashboard.png\")
\n ![\"Trip](\"docs/screenshots/trip-planner.png\")
\n ![\"Journey](\"docs/screenshots/journey.png\")
\n ![\"Costs](\"docs/screenshots/budget.png\")
\n ![\"Atlas](\"docs/screenshots/atlas.png\")
\n ![\"Vacay](\"docs/screenshots/vacay.png\")
\n ![\"Trip](\"docs/screenshots/trip-iceland.png\")
\n ![\"Admin](\"docs/screenshots/admin.png\")
\n![\"TREK](\"docs/tiles/grid-mobile.svg\")
\n\n\n\n![\"no-mistakes](\"https://raw.githubusercontent.com/kunchenguid/no-mistakes/main/demo.gif\")
\n![\"WebUI](\"docs/static/images/img_8.png\")
\n\n\n\n\n\n## 💾 数据保存\n\nMediaCrawler 支持多种数据存储方式，包括 CSV、JSON、JSONL、Excel、SQLite 和 MySQL 数据库。\n\n📖 **详细使用说明请查看：[数据存储指南](docs/data_storage_guide.md)**\n\n\n[🚀 MediaCrawlerPro 重磅发布 🚀！更多的功能，更好的架构设计！开源不易，欢迎订阅支持！](https://github.com/MediaCrawlerPro)\n\n\n## 💬 交流群组\n- **微信交流群**：[点击加入](https://nanmicoder.github.io/MediaCrawler/%E5%BE%AE%E4%BF%A1%E4%BA%A4%E6%B5%81%E7%BE%A4.html)\n- **B站账号**：[关注我](https://space.bilibili.com/434377496)，分享AI与爬虫技术知识\n\n\n## 💰 赞助商展示\n\n\n![](\"docs/static/images/tikhub_banner_zh.png\")
\n![\"Atlas](\"docs/static/images/atlas_cloud_logo_black.png#gh-light-mode-only\"){kind=logo}
\n![\"Atlas](\"docs/static/images/atlas_cloud_logo_white.png#gh-dark-mode-only\"){kind=logo}
\n\n![\"微信赞赏\"](\"docs/static/images/wechat_pay.jpeg\")
![\"支付宝\"](\"docs/static/images/zfb_pay.png\")
![\"Buy](\"docs/static/images/bmc_button.png\")
\n![\"Turso](\"assets/turso.png\")
\n ![](\"https://img.shields.io/github/actions/workflow/status/tursodatabase/turso/rust.yml?style=flat-square\")
![](\"https://img.shields.io/github/release/tursodatabase/turso?style=flat-square&color=9CF\")
![\"Crate\"](\"https://img.shields.io/crates/v/turso\")
![\"NPM\"](\"https://img.shields.io/npm/v/@tursodatabase/database\")
![\"PyPI\"](\"https://img.shields.io/pypi/v/pyturso\")
![\"Maven](\"https://img.shields.io/maven-central/v/tech.turso/turso\")
![](\"http://img.shields.io/badge/license-MIT-orange.svg?style=flat-square\"){kind=icon}
\n ![](\"https://img.shields.io/github/issues-pr-closed/tursodatabase/turso.svg?style=flat-square&color=FF9966\")
\n ![](\"https://img.shields.io/github/commit-activity/m/tursodatabase/turso.svg?style=flat-square\")
\n ![](\"https://img.shields.io/github/last-commit/tursodatabase/turso.svg?style=flat-square&color=FF9900\")
\n![\"Chat](\"https://img.shields.io/discord/1258658826257961020?label=Discord&logo=Discord&style=social&label=Core%20Developers\")
![\"Chat](\"https://img.shields.io/discord/933071162680958986?label=Discord&logo=Discord&style=social&label=Users\")
![\"SimpleX](\"images/simplex-chat-logo.svg\"){kind=logo}
\n\n# SimpleX - the first messaging platform that has no user identifiers of any kind - 100% private by design!\n\n[![](\"./images/trail-of-bits.jpg\")
](http://simplex.chat/blog/20221108-simplex-chat-v4.2-security-audit-new-website.html) [![](\"./images/privacy-guides.jpg\")
](https://www.privacyguides.org/en/real-time-communication/#simplex-chat) [![](\"./images/whonix-logo.jpg\"){kind=logo}
](https://www.whonix.org/wiki/Chat#Recommendation) [![](\"./images/kuketz-blog.jpg\")
](https://www.kuketz-blog.de/simplex-eindruecke-vom-messenger-ohne-identifier/)\n\n**[Why we are building SimpleX Network](./docs/WHY.md)**\n\n## Welcome to SimpleX Chat!\n\n1. 📲 [Install the app](#install-the-app).\n2. ↔️ [Connect to the team](#connect-to-the-team), [join user groups](#join-user-groups) and [follow our updates](#follow-our-updates).\n3. 🤝 [Make a private connection](#make-a-private-connection) with a friend.\n4. 🔤 [Help translating SimpleX Chat](#help-translating-simplex-chat).\n5. ⚡️ [Contribute](#contribute) and [support us with donations](#please-support-us-with-your-donations).\n\n[Learn more about SimpleX Chat](#contents).\n\n## Install the app\n\n[![\"iOS](\"https://raw.githubusercontent.com/simplex-chat/.github/refs/heads/master/profile/images/apple_store.svg\")
](https://apps.apple.com/us/app/simplex-chat/id1605771084)\n \n[](https://play.google.com/store/apps/details?id=chat.simplex.app)\n \n[![\"F-Droid\"](\"https://raw.githubusercontent.com/simplex-chat/.github/refs/heads/master/profile/images/f_droid.svg\")
](https://app.simplex.chat)\n \n[![\"iOS](\"https://raw.githubusercontent.com/simplex-chat/.github/refs/heads/master/profile/images/testflight.png\")
](https://testflight.apple.com/join/DWuT2LQu)\n \n[![\"APK\"](\"https://raw.githubusercontent.com/simplex-chat/.github/refs/heads/master/profile/images/apk_icon.png\"){kind=icon}
](https://github.com/simplex-chat/simplex-chat/releases/latest/download/simplex-aarch64.apk)\n\n- 🖲 Protects your messages and metadata - who you talk to and when.\n- 🔐 Double ratchet end-to-end encryption, with additional encryption layer.\n- 📱 Mobile apps for Android ([Google Play](https://play.google.com/store/apps/details?id=chat.simplex.app), [APK](https://github.com/simplex-chat/simplex-chat/releases/latest/download/simplex-aarch64.apk)) and [iOS](https://apps.apple.com/us/app/simplex-chat/id1605771084).\n- 🚀 [TestFlight preview for iOS](https://testflight.apple.com/join/DWuT2LQu) with the new features 1-2 weeks earlier - **limited to 10,000 users**!\n- 🖥 Available as a terminal (console) [app / CLI](#zap-quick-installation-of-a-terminal-app) on Linux, MacOS, Windows.\n\n## Connect to the team\n\nYou can connect to the team via the app using \"chat with the developers button\" available when you have no conversations in the profile, \"Send questions and ideas\" in the app settings or via our [SimpleX address](https://smp6.simplex.im/a#lrdvu2d8A1GumSmoKb2krQmtKhWXq-tyGpHuM7aMwsw). Please connect to:\n\n- to ask any questions\n- to suggest any improvements\n- to share anything relevant\n\nWe are replying the questions manually, so it is not instant – it can take up to 24 hours.\n\nIf you are interested in helping us to integrate open-source language models, and in [joining our team](./docs/JOIN_TEAM.md), please get in touch.\n\n## Join user groups\n\nYou can find the groups created by users in [SimpleX Directory](https://simplex.chat/directory/). It is also available as [SimpleX bot](https://smp4.simplex.im/a#lXUjJW5vHYQzoLYgmi8GbxkGP41_kjefFvBrdwg-0Ok) that allows to add your own groups and communities to the directory. We are not responsible for the content shared in these groups.\n\n**Please note**: The groups below are created for the users to be able to ask questions, make suggestions and ask questions about SimpleX Chat only.\n\nYou can join an English-speaking users group if you want to ask any questions: [#SimpleX users group](https://smp4.simplex.im/g#hr4lvFeBmndWMKTwqiodPz3VBo_6UmdGWocXd1SupsM)\n\nThere is also a group [#simplex-devs](https://smp6.simplex.im/g#Drx3efC-n418AuSpzTspw9SER0iJwrQTmKBafQHwkKM) for developers who build on SimpleX platform:\n\n- chat bots and automations\n- integrations with other apps\n- social apps and services\n- etc.\n\nYou can join these and other groups by opening these links in the app or by opening them in a desktop browser and scanning the QR code.\n\n## Follow our updates\n\nWe publish our updates and releases via:\n\n- [Reddit](https://www.reddit.com/r/SimpleXChat/), [Twitter](https://twitter.com/SimpleXChat), [Lemmy](https://lemmy.ml/c/simplex), [Mastodon](https://mastodon.social/@simplex) and [Nostr](https://snort.social/p/npub1exv22uulqnmlluszc4yk92jhs2e5ajcs6mu3t00a6avzjcalj9csm7d828).\n- SimpleX Chat [team profile](#connect-to-the-team).\n- [blog](https://simplex.chat/blog/) and [RSS feed](https://simplex.chat/feed.rss).\n- [mailing list](https://simplex.chat/#join-simplex), very rarely.\n\n## Make a private connection\n\nYou need to share a link with your friend or scan a QR code from their phone, in person or during a video call, to make a connection and start messaging.\n\nThe channel through which you share the link does not have to be secure - it is enough that you can confirm who sent you the message and that your SimpleX connection is established.\n\n![\"Make](\"https://raw.githubusercontent.com/simplex-chat/.github/refs/heads/master/profile/images/app1.png\")
![](\"https://raw.githubusercontent.com/simplex-chat/.github/refs/heads/master/profile/images/arrow.png\"){kind=icon}
![\"Conversation\"](\"https://raw.githubusercontent.com/simplex-chat/.github/refs/heads/master/profile/images/app2.png\")
![\"Video](\"https://raw.githubusercontent.com/simplex-chat/.github/refs/heads/master/profile/images/app3.png\")
\n\nAfter you connect, you can [verify connection security code](./blog/20230103-simplex-chat-v4.4-disappearing-messages.md#connection-security-verification).\n\n## User guide (NEW)\n\nRead about the app features and settings in the new [User guide](./docs/guide/README.md).\n\n## Contribute\n\nWe would love to have you join the development! You can help us with:\n\n- [develop a chat bot](#develop-a-chat-bot) for SimpleX Chat!\n- writing a tutorial or recipes about hosting servers, chat bots, etc.\n- developing features - please connect to us via chat so we can help you get started.\n\n## Help translating SimpleX Chat\n\nThanks to our users and [Weblate](https://hosted.weblate.org/engage/simplex-chat/), SimpleX Chat apps, website and documents are translated to many other languages.\n\nJoin our translators to help SimpleX grow!\n\n|locale|language |contributor|[Android](https://play.google.com/store/apps/details?id=chat.simplex.app) and [iOS](https://apps.apple.com/us/app/simplex-chat/id1605771084)|[website](https://simplex.chat)|Github docs|\n|:----:|:-------:|:---------:|:---------:|:---------:|:---------:|\n|🇬🇧 en|English | |✓|✓|✓|✓|\n|ar|العربية |[jermanuts](https://github.com/jermanuts)|[](https://hosted.weblate.org/projects/simplex-chat/android/ar/)![\"npm](\"https://img.shields.io/npm/v/@googleworkspace/cli\")
![\"license\"](\"https://img.shields.io/github/license/googleworkspace/cli\")
![\"CI](\"https://img.shields.io/github/actions/workflow/status/googleworkspace/cli/ci.yml?branch=main&label=CI\")
![\"install](\"https://img.shields.io/npm/unpacked-size/@googleworkspace/cli\")
![\"Page](\"https://page-agent.github.io/assets/readme/banner-dark.png\")
\n![\"CasaOS\"](\"https://raw.githubusercontent.com/IceWhaleTech/logo/main/casaos/casaos_banner_twilight_blue_800x300.png\"){kind=logo}
\n ![\"CasaOS](\"https://img.shields.io/github/v/release/IceWhaleTech/CasaOS?color=162453&style=flat-square&label=CasaOS\")
![\"CasaOS](\"https://img.shields.io/github/license/IceWhaleTech/CasaOS?color=162453&style=flat-square&label=License\")
![\"CasaOS](\"https://img.shields.io/github/issues-pr/IceWhaleTech/CasaOS?color=162453&style=flat-square&label=PRs\")
![\"CasaOS](\"https://img.shields.io/github/issues/IceWhaleTech/CasaOS?color=162453&style=flat-square&label=Issues\")
![](\"https://codecov.io/gh/IceWhaleTech/CasaOS/branch/main/graph/badge.svg?token=l9uMKGlkxM\"/){kind=icon}
\n \n \n ![\"CasaOS](\"https://img.shields.io/github/stars/IceWhaleTech/CasaOS?color=162453&style=flat-square&label=Stars\")
![\"IceWhale](\"https://img.shields.io/discord/884667213326463016?color=162453&style=flat-square&label=Discord&logo=discord&logoColor=fff\")
![\"CasaOS](\"https://img.shields.io/github/discussions/IceWhaleTech/CasaOS?color=162453&style=flat-square&label=Discussions&logo=github\")
![\"All](\"https://img.shields.io/static/v1?label=All%20Contributors&message=15&color=162453&style=flat-square&logo=Handshake&logoColor=fff\")
![\"YouTube](\"https://img.shields.io/youtube/channel/views/UC2zMrUYT17AJhIl9XWZzT8g?style=flat-square&logo=youtube&logoColor=red&label=YouTube%20Tutorial%20Views\")
![\"twitter](\"https://img.shields.io/twitter/follow/ZimaSpace?style=flat-square&logo=X&label=Contact%20Us%20%40%20ZimaSpace&labelColor=555&color=555\")
![\"facebook](\"https://img.shields.io/badge/ZimaSpace-1877F2?style=flat-square&logo=Facebook&logoColor=fff&label=Contact%20Us&labelColor=555&color=162453\"){kind=icon}
![\"CasaOS](\"snapshot-light.jpg\")
\n ![\"\"/](\"https://avatars.githubusercontent.com/u/9485680?v=4?s=100\")
![\"\"/](\"https://avatars.githubusercontent.com/u/13556972?v=4?s=100\")
![\"\"/](\"https://avatars.githubusercontent.com/u/7172560?v=4?s=100\")
![\"Watch](\"https://img.youtube.com/vi/372Iksaz8b0/maxresdefault.jpg\")
\n\n\n> ▶️ **[Watch on YouTube →](https://www.youtube.com/watch?v=372Iksaz8b0)** (beginner-friendly walkthrough and tutorial)\n\n## What This Does\n\n**Frontend Slides** helps non-designers create beautiful web presentations without knowing CSS or JavaScript. It uses a \"show, don't tell\" approach: instead of asking you to describe your aesthetic preferences in words, it generates visual previews and lets you pick what you like.\n\nHere is a deck about the skill, made through the skill:\n\nhttps://github.com/user-attachments/assets/ef57333e-f879-432a-afb9-180388982478\n\n### Key Features\n\n- **Zero Dependencies** — Single HTML files with inline CSS/JS. No npm, no build tools, no frameworks.\n- **Visual Style Discovery** — Can't articulate design preferences? No problem. Pick from generated visual previews.\n- **PPT Conversion** — Convert existing PowerPoint files to web, preserving all images and content.\n- **Anti-AI-Slop** — Curated distinctive styles that avoid generic AI aesthetics (bye-bye, purple gradients on white).\n- **Bold Template Pack** — Optional design-forward templates from `beautiful-html-templates`, loaded progressively so safe presets still work as the default fallback.\n- **Production Quality** — Accessible, fixed 16:9, well-commented code you can customize.\n\n## Installation\n\n### Via Claude Code Custom Marketplace Source\n\nInstall directly from this public GitHub repo. Run these as two separate Claude Code messages; do not paste both lines into the prompt at once.\n\n```text\n/plugin marketplace add https://github.com/zarazhangrui/frontend-slides\n```\n\nAfter that finishes, run:\n\n```text\n/plugin install frontend-slides@frontend-slides\n```\n\nUse the HTTPS URL. The shorter `zarazhangrui/frontend-slides` form may make Claude Code try SSH, which can fail if GitHub is not already in your `known_hosts` file.\n\nThen use it by typing `/frontend-slides:frontend-slides` in Claude Code. Claude Code namespaces plugin-installed skills as `/plugin-name:skill-name`.\n\n### Claude Code Manual Installation\n\nCopy the skill files to your Claude Code skills directory:\n\n```bash\n# Create the skill directory\nmkdir -p ~/.claude/skills/frontend-slides/scripts\n\n# Copy the user-facing skill files\ncp SKILL.md STYLE_PRESETS.md viewport-base.css html-template.md animation-patterns.md ~/.claude/skills/frontend-slides/\ncp -R bold-template-pack ~/.claude/skills/frontend-slides/\ncp scripts/extract-pptx.py scripts/deploy.sh scripts/export-pdf.sh ~/.claude/skills/frontend-slides/scripts/\n```\n\nOr clone directly:\n\n```bash\ngit clone https://github.com/zarazhangrui/frontend-slides.git ~/.claude/skills/frontend-slides\n```\n\nThen use it by typing `/frontend-slides` in Claude Code. Standalone skills are not namespaced.\n\n### Other Coding Agents\n\nAgents such as Codex, Kimi Code, OpenCode, Gemini CLI, or other local coding assistants can use the same core skill. The simplest path is to send the agent this GitHub repo link and ask it to use the Frontend Slides skill:\n\n```text\nhttps://github.com/zarazhangrui/frontend-slides\n```\n\nIf the agent can read GitHub repos or browse files, it should start from `SKILL.md` and load only the referenced support files it needs:\n\n- `STYLE_PRESETS.md`\n- `viewport-base.css`\n- `html-template.md`\n- `animation-patterns.md`\n- `bold-template-pack/`\n- `scripts/`\n\nSome agents can also install the skill for you if they have filesystem access and a known local skills directory. If not, they can still follow `SKILL.md` directly for the current session.\n\nThe Claude Code plugin gives Claude Code a custom marketplace-source install flow and `/frontend-slides:frontend-slides` command. Other agents usually do not use that command surface.\n\n## Usage\n\n### Create a New Presentation\n\n```text\n/frontend-slides:frontend-slides\n\n> \"I want to create a pitch deck for my AI startup\"\n```\n\nIf installed manually as a standalone Claude Code skill, use `/frontend-slides` instead.\n\nIn non-Claude agents, ask the agent to use the Frontend Slides skill and point it at this repo or `SKILL.md`.\n\nThe skill will:\n\n1. Ask about your content (slides, messages, images)\n2. Generate 3 visual style previews for you to compare, inferring the vibe from your brief unless you already named one\n3. Let you pick the visual direction\n4. Create the full presentation in your chosen style\n5. Open it in your browser\n\n### Convert a PowerPoint\n\n```text\n/frontend-slides:frontend-slides\n\n> \"Convert my presentation.pptx to a web slideshow\"\n```\n\nThe skill will:\n\n1. Extract all text, images, and notes from your PPT\n2. Show you the extracted content for confirmation\n3. Let you pick a visual style\n4. Generate an HTML presentation with all your original assets\n\n## Included Styles\n\n### Dark Themes\n\n- **Bold Signal** — Confident, high-impact, vibrant card on dark\n- **Electric Studio** — Clean, professional, split-panel\n- **Creative Voltage** — Energetic, retro-modern, electric blue + neon\n- **Dark Botanical** — Elegant, sophisticated, warm accents\n\n### Light Themes\n\n- **Notebook Tabs** — Editorial, organized, paper with colorful tabs\n- **Pastel Geometry** — Friendly, approachable, vertical pills\n- **Split Pastel** — Playful, modern, two-color vertical split\n- **Vintage Editorial** — Witty, personality-driven, geometric shapes\n\n### Specialty\n\n- **Neon Cyber** — Futuristic, particle backgrounds, neon glow\n- **Terminal Green** — Developer-focused, hacker aesthetic\n- **Swiss Modern** — Minimal, Bauhaus-inspired, geometric\n- **Paper & Ink** — Literary, drop caps, pull quotes\n\n### Bold Template Pack\n\nThe skill also includes 34 optional bold design systems from\n`beautiful-html-templates`, such as **Neo-Grid Bold**, **Editorial Tri-Tone**,\n**Creative Mode**, **Broadside**, **Signal**, and **Vellum**.\n\nDuring style discovery, the preview set is:\n\n- 1 safe preset from `STYLE_PRESETS.md`\n- at least 1 bold template option from `bold-template-pack/selection-index.json`\n- 1 wildcard option, either another bold template or a self-generated custom design\n\nThe agent reads the compact bold template index first, then loads only the\nshortlisted candidates' small `preview.md` cards for title-slide previews. It\nloads the full `design.md` for exactly one bold template only after the user\npicks that template for the final deck. If the user picks a custom wildcard,\nthe agent expands that preview's own CSS and layout system into the full deck.\n\n## Bold Template Gallery\n\nFrontend Slides can now draw from the 34 bold design systems in [`beautiful-html-templates`](https://github.com/zarazhangrui/beautiful-html-templates). Three screenshots per template show how each visual system handles different slide layouts. Click any template name to inspect the source template library.\n\n### [Soft Editorial](https://github.com/zarazhangrui/beautiful-html-templates/tree/main/templates/soft-editorial/)\n\n![\"twitter\"](\"https://img.shields.io/badge/follow-Tw93-red?style=flat-square&logo=Twitter\"){kind=icon}
![\"telegram\"](\"https://img.shields.io/badge/chat-telegram-blueviolet?style=flat-square&logo=Telegram\"){kind=icon}
![\"GitHub](\"https://img.shields.io/github/downloads/tw93/Pake/total.svg?style=flat-square\")
![\"GitHub](\"https://img.shields.io/github/commit-activity/m/tw93/Pake?style=flat-square\")
![\"GitHub](\"https://img.shields.io/github/issues-closed/tw93/Pake.svg?style=flat-square\")
![\"Orca\"](\"resources/build/icon.png\"){kind=icon}
![\"Total](\"docs/assets/readme-downloads.svg\")
![\"Join](\"https://img.shields.io/badge/Discord-5865F2?logo=discord&logoColor=white\"){kind=icon}
![\"Follow](\"https://img.shields.io/badge/X-000000?logo=x&logoColor=white\"){kind=icon}
![\"Supported](\"https://img.shields.io/badge/macOS%20%7C%20Windows%20%7C%20Linux-4493F8?style=flat-square\"){kind=icon}
\n![\"Orca](\"docs/assets/readme-hero.jpg\")
\n![\"Python\"](\"https://img.shields.io/badge/python-3.11%2B-blue.svg\"){kind=icon}
\n ![\"License:](\"https://img.shields.io/badge/license-MIT-yellow.svg\"){kind=icon}
\n ![\"Code](\"https://img.shields.io/badge/code%20style-Black-000000.svg\"){kind=icon}
\n ![\"Clips](\"https://cdn.builder.io/api/v1/image/assets%2FYJIGb4i01jvw0SRdL5Bt%2F189ebd9b2f2b4f0ead3b33138d4e4c10?format=webp&width=800\")
![\"Plans](\"https://cdn.builder.io/api/v1/image/assets%2FYJIGb4i01jvw0SRdL5Bt%2Fb6f4213ac7cc42eeb10c12e8ccda8936?format=webp&width=800\")
![\"Design](\"https://cdn.builder.io/api/v1/image/assets%2F348da13fcd8b414c87de9066196f7266%2F961bedb713a94463b834c1f2f4643bcf?format=webp&width=800\")
![\"Content](\"https://cdn.builder.io/api/v1/image/assets%2FYJIGb4i01jvw0SRdL5Bt%2F89bcfc6106304bfbaf8ec8a7ccd721eb?format=webp&width=800\")
![\"Slides](\"https://cdn.builder.io/api/v1/image/assets%2FYJIGb4i01jvw0SRdL5Bt%2F2c09b451d40c4a74a89a38d69170c2d8?format=webp&width=800\")
![\"Analytics](\"https://cdn.builder.io/api/v1/image/assets%2FYJIGb4i01jvw0SRdL5Bt%2F4933a80cc3134d7e874631f688be828a?format=webp&width=800\")
![\"Plane](\"https://media.docs.plane.so/logo/plane_github_readme.png\"){kind=logo}
\n![\"Awesome](\"https://img.shields.io/badge/Part%20of-Awesome%20Generative%20AI%20Apps-FFD700?style=for-the-badge&logo=github&logoColor=black\"){kind=icon}
\n ![\"Soft](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/soft-editorial-4.png\")
\n ![\"Soft](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/soft-editorial-6.png\")
\n ![\"Soft](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/soft-editorial-10.png\")
\n![\"Editorial](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/editorial-forest-1.png\")
\n ![\"Editorial](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/editorial-forest-2.png\")
\n ![\"Editorial](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/editorial-forest-5.png\")
\n![\"Pin](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/pin-and-paper-1.png\")
\n ![\"Pin](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/pin-and-paper-11.png\")
\n ![\"Pin](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/pin-and-paper-3.png\")
\n![\"Sakura](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/sakura-chroma-1.png\")
\n ![\"Sakura](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/sakura-chroma-3.png\")
\n ![\"Sakura](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/sakura-chroma-4.png\")
\n![\"Stencil](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/stencil-tablet-1.png\")
\n ![\"Stencil](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/stencil-tablet-3.png\")
\n ![\"Stencil](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/stencil-tablet-8.png\")
\n![\"Cobalt](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/cobalt-grid-1.png\")
\n ![\"Cobalt](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/cobalt-grid-3.png\")
\n ![\"Cobalt](\"https://raw.githubusercontent.com/zarazhangrui/beautiful-html-templates/main/screenshots/cobalt-grid-5.png\")
\n![\"WeKnora](\"./docs/images/logo.png\"){kind=logo}
\n ![\"Official](\"https://img.shields.io/badge/Official){kind=icon}
\n ![\"WeChat](\"https://img.shields.io/badge/WeChat){kind=icon}
\n ![\"Chrome](\"https://img.shields.io/badge/Chrome){kind=icon}
\n ![\"ClawHub](\"https://img.shields.io/badge/ClawHub){kind=icon}
\n ![\"License\"](\"https://img.shields.io/badge/License-MIT-ffffff?labelColor=d4eaf7&color=2e6cc4\"){kind=icon}
\n ![\"Version\"](\"https://img.shields.io/badge/version-0.6.3-2e6cc4?labelColor=d4eaf7\"){kind=icon}
\n ![\"Intelligent](\"./docs/images/qa.png\")
![\"Wiki](\"./docs/images/wiki-browser.png\")
![\"Wiki](\"./docs/images/wiki-graph.png\")
![\"Agent](\"./docs/images/agent-qa.png\")
![\"Conversation](\"./docs/images/settings.png\")
![\"Observability](\"./docs/images/langfuse.png\")
![\"Deploy](\"https://render.com/images/deploy-to-render-button.svg\")
![\"Deploy](\"https://railway.com/button.svg\")
![\"Deploy](\"./.github/deploy-on-aws.png\")
![\"Deploy](\"./.github/deploy-on-gcp.png\")
![\"PyPI](\"https://img.shields.io/pypi/v/litellm.svg\")
\n ![\"GitHub](\"https://img.shields.io/github/stars/BerriAI/litellm.svg?style=social\")
\n ![\"Y](\"https://img.shields.io/badge/Y%20Combinator-W23-orange?style=flat-square\"){kind=icon}
\n ![\"Whatsapp\"](\"https://img.shields.io/static/v1?label=Chat%20on&message=WhatsApp&color=success&logo=WhatsApp&style=flat-square\")
\n ![\"Discord\"](\"https://img.shields.io/static/v1?label=Chat%20on&message=Discord&color=blue&logo=Discord&style=flat-square\")
\n ![\"Slack\"](\"https://img.shields.io/static/v1?label=Chat%20on&message=Slack&color=black&logo=Slack&style=flat-square\")
\n ![\"CodSpeed\"/](\"https://img.shields.io/endpoint?url=https://codspeed.io/badge.json\"){kind=icon}
\n