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Expect frequent feature updates.\n* 🔴 **Experimental / Beta**: Early-stage prototypes, proofs-of-concept, or bleeding-edge releases. High potential but unstable.\n\n\n---\n\n## 📋 Changelog\n\n### 2026-07-19 — Weekly Update\n**Added:**\n- [TencentDB-Agent-Memory](https://github.com/TencentCloud/TencentDB-Agent-Memory) → LLM DevTools\n- [SkillOpt](https://github.com/microsoft/SkillOpt) → Custom Agent Skills\n- [LMCache](https://github.com/LMCache/LMCache) → LLM Inference Engines\n- [ECC](https://github.com/affaan-m/ECC) → AI Agent Frameworks\n- [CubeSandbox](https://github.com/TencentCloud/CubeSandbox) → AI Agent Frameworks\n- [awesome-design-md](https://github.com/VoltAgent/awesome-design-md) → AI Learning\n- [openwiki](https://github.com/langchain-ai/openwiki) → LLM DevTools\n- [awesome-ai-agents-2026](https://github.com/caramaschiHG/awesome-ai-agents-2026) → AI Learning\n- [500-AI-Agents-Projects](https://github.com/ashishpatel26/500-AI-Agents-Projects) → AI Learning\n- [my-opencode-config](https://github.com/youxufkhan/my-opencode-config) → AI Coding CLI Agents\n- [nimbench](https://github.com/youxufkhan/nimbench) → LLM DevTools\n- [lancedb](https://github.com/lancedb/lancedb) → Vector Databases\n- [ragflow](https://github.com/infiniflow/ragflow) → LLM DevTools\n- [awesome-mcp-servers](https://github.com/punkpeye/awesome-mcp-servers) → MCP Servers\n- [awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps) → AI Learning\n- [awesome-llm-tools](https://github.com/sam-blackfly/awesome-llm-tools) → AI Learning\n- [bolt.diy](https://github.com/stackblitz-labs/bolt.diy) → Vibe Coding\n- [SWE-agent](https://github.com/swe-agent/swe-agent) → AI Coding CLI Agents\n- [mastra](https://github.com/mastra-ai/mastra) → AI Agent Frameworks\n- [pydantic-ai](https://github.com/pydantic/pydantic-ai) → AI Agent Frameworks\n- [firecrawl](https://github.com/mendableai/firecrawl) → LLM DevTools\n- [langflow](https://github.com/langflow-ai/langflow) → LLM DevTools\n- [autogen](https://github.com/microsoft/autogen) → AI Agent Frameworks\n- [open-webui](https://github.com/open-webui/open-webui) → Vibe Coding\n\n\n### 2026-07-12 — Weekly Update\n**Added:**\n- [AI Job Search](https://github.com/MadsLorentzen/ai-job-search) → AI Coding CLI Agents \u0026 SWE Systems\n- [Claude Code Templates](https://github.com/davila7/claude-code-templates) → AI Coding CLI Agents \u0026 SWE Systems\n- [Terax AI](https://github.com/crynta/terax-ai) → AI-Native IDEs \u0026 Cloud Workspaces\n- [CodexBar](https://github.com/steipete/CodexBar) → AI Coding Extensions \u0026 Plugins\n- [Archify](https://github.com/tt-a1i/archify) → Custom Agent Skills \u0026 Plugins\n- [Claude HUD](https://github.com/jarrodwatts/claude-hud) → Custom Agent Skills \u0026 Plugins\n- [Claude Mem](https://github.com/thedotmack/claude-mem) → Custom Agent Skills \u0026 Plugins\n- [Stitch Skills](https://github.com/google-labs-code/stitch-skills) → Custom Agent Skills \u0026 Plugins\n- [Claude Video](https://github.com/bradautomates/claude-video) → LLM DevTools \u0026 Orchestration Infrastructure\n- [Crawl4AI](https://github.com/unclecode/crawl4ai) → LLM DevTools \u0026 Orchestration Infrastructure\n- [OfficeCLI](https://github.com/iOfficeAI/OfficeCLI) → LLM DevTools \u0026 Orchestration Infrastructure\n- [olmOCR](https://github.com/allenai/olmocr) → LLM DevTools \u0026 Orchestration Infrastructure\n- [Video Use](https://github.com/browser-use/video-use) → LLM DevTools \u0026 Orchestration Infrastructure\n- [Desktop Commander MCP](https://github.com/wonderwhy-er/DesktopCommanderMCP) → Model Context Protocol (MCP) Servers\n- [Meetily](https://github.com/Zackriya-Solutions/meetily) → Vibe Coding \u0026 Generative UI Tools\n\n---\n\n## 📂 Table of Contents\n- [📋 Changelog](#-changelog)\n- [🤖 AI Coding CLI Agents \u0026 SWE Systems](#-ai-coding-cli-agents--swe-systems)\n- [💻 AI-Native IDEs \u0026 Cloud Workspaces](#-ai-native-ides--cloud-workspaces)\n- [🧩 AI Coding Extensions \u0026 Plugins](#-ai-coding-extensions--plugins)\n- [🔌 Custom Agent Skills \u0026 Plugins](#-custom-agent-skills--plugins)\n- [🛡️ PII Masking \u0026 AI Agent Security Proxies](#️-pii-masking--ai-agent-security-proxies)\n- [⚙️ AI Agent Frameworks \u0026 Multi-Agent Platforms](#️-ai-agent-frameworks--multi-agent-platforms)\n- [🛠️ LLM DevTools \u0026 Orchestration Infrastructure](#️-llm-devtools--orchestration-infrastructure)\n- [📡 Model Context Protocol (MCP) Servers](#-model-context-protocol-mcp-servers)\n- [⚡ LLM Inference \u0026 Local Serving Engines](#-llm-inference--local-serving-engines)\n- [🗄️ Vector Databases \u0026 Vector Stores](#️-vector-databases--vector-stores)\n- [🎨 Vibe Coding \u0026 Generative UI Tools](#-vibe-coding--generative-ui-tools)\n- [📖 AI Learning \u0026 Educational Resources](#-ai-learning--educational-resources)\n- [📊 Quick Comparison Matrix](#-quick-comparison-matrix)\n- [🤝 Contributing](#-contributing)\n\n---\n\n## 🤖 AI Coding CLI Agents \u0026 SWE Systems\nAutonomous CLI-first software engineering agents that can write code, run commands, execute tests, manage git changes, and solve issues.\n\n| Repository / Agent | Creator | Description | Key Features |\n| :--- | :--- | :--- | :--- |\n| 🟢 **[AI Job Search](https://github.com/MadsLorentzen/ai-job-search)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/MadsLorentzen/ai-job-search?style=flat-square\u0026label=%E2%98%85)](https://github.com/MadsLorentzen/ai-job-search) | Mads Lorentzen | AI-powered job application framework built on Claude Code. | Evaluate postings, tailor CVs, write cover letters, prep interviews |\n| 🟢 **[Aider](https://github.com/aider-chat/aider)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/aider-chat/aider?style=flat-square\u0026label=%E2%98%85)](https://github.com/aider-chat/aider) | Aider-chat | Git-integrated terminal pair programmer. | Edits files in-place, writes automatic git commits, works with local/remote LLMs. |\n| 🟢 **[Antigravity CLI](https://antigravity.google)** | Google DeepMind | Advanced agentic CLI pair programmer. | Parallel subagent orchestration, sandboxed browser testing, deep git integration. |\n| 🟡 **[cc-switch](https://github.com/farion1231/cc-switch)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/farion1231/cc-switch?style=flat-square\u0026label=%E2%98%85)](https://github.com/farion1231/cc-switch) | farion1231 | Cross-platform desktop All-in-One assistant manager for Claude Code, Codex, OpenCode, OpenClaw, Gemini CLI \u0026 Hermes. | Desktop wrapper, multi-agent provider switching, WSL support. |\n| 🟡 **[Claude Code](https://docs.anthropic.com/en/docs/agents-and-tools/claude-code)** | Anthropic | Command-line agent powered by Claude models. | 1M+ token context window, deep reasoning, multi-file code workspace editing. |\n| 🟢 **[Claude Code Templates](https://github.com/davila7/claude-code-templates)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/davila7/claude-code-templates?style=flat-square\u0026label=%E2%98%85)](https://github.com/davila7/claude-code-templates) | davila7 | CLI tool for configuring and monitoring Claude Code. | Template configurations, active monitoring, context metrics |\n| 🔴 **[Claw Code Example](https://github.com/ultraworkers/claw-code)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/ultraworkers/claw-code?style=flat-square\u0026label=%E2%98%85)](https://github.com/ultraworkers/claw-code) | Ultraworkers | Rust-based repository managed automatically by agentic code. | Demonstrates zero human intervention maintenance, autonomous documentation. |\n| 🟡 **[codex-profiles](https://github.com/Ducksss/codex-profiles)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/Ducksss/codex-profiles?style=flat-square\u0026label=%E2%98%85)](https://github.com/Ducksss/codex-profiles) | Ducksss | Bash CLI for launching Codex CLI and Desktop with isolated CODEX_HOME profiles. | Separate accounts, config, sessions, plugins, caches, and logs without copying auth.json tokens. |\n| 🟡 **[DeepSeek-Reasonix](https://github.com/esengine/DeepSeek-Reasonix)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/esengine/DeepSeek-Reasonix?style=flat-square\u0026label=%E2%98%85)](https://github.com/esengine/DeepSeek-Reasonix) | esengine | DeepSeek-native terminal coding agent. | Engineered around prefix-cache stability, low input-token overhead. |\n| 🟡 **[Devika](https://github.com/mufeedvh/devika)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/mufeedvh/devika?style=flat-square\u0026label=%E2%98%85)](https://github.com/mufeedvh/devika) | Mufeed VH | Open-source clone of Cognition's Devin. | Plan-execute-monitor coding loops, agentic browser search. |\n| 🟡 **[Gemini CLI](https://github.com/google-gemini/gemini-cli)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/google-gemini/gemini-cli?style=flat-square\u0026label=%E2%98%85)](https://github.com/google-gemini/gemini-cli) | Google Gemini | An open-source, terminal-first AI agent powered by Gemini. | ReAct loops, MCP server compatibility, Google Search grounding, git workflows. |\n| 🟡 **[Goose](https://github.com/aaif-goose/goose)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/aaif-goose/goose?style=flat-square\u0026label=%E2%98%85)](https://github.com/aaif-goose/goose) | Agentic AI Foundation (AAIF) | Extensible open-source coding agent. | Local or desktop run modes, built-in MCP client, custom developer plugins. |\n| 🟡 **[my-opencode-config](https://github.com/youxufkhan/my-opencode-config)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/youxufkhan/my-opencode-config?style=flat-square\u0026label=%E2%98%85)](https://github.com/youxufkhan/my-opencode-config) | youxufkhan | CLI tool to auto-configure OpenCode with free AI models. | Automated, open-source |\n| 🟢 **[SWE-agent](https://github.com/swe-agent/swe-agent)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/swe-agent/swe-agent?style=flat-square\u0026label=%E2%98%85)](https://github.com/swe-agent/swe-agent) | swe-agent | SWE-agent takes a GitHub issue and tries to automatically fix it. | Automated, open-source |\n\n---\n\n## 💻 AI-Native IDEs \u0026 Cloud Workspaces\nIntegrated Development Environments (IDEs) built with AI agents at the center of the coding experience.\n\n| Editor / Workspace | Creator | Description | Key Features |\n| :--- | :--- | :--- | :--- |\n| 🟢 **[Cherry Studio](https://github.com/CherryHQ/cherry-studio)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/CherryHQ/cherry-studio?style=flat-square\u0026label=%E2%98%85)](https://github.com/CherryHQ/cherry-studio) | CherryHQ | AI productivity studio with smart chat, autonomous agents, and 300+ assistants. | Unified access to frontier LLMs, multiple assistant panels, offline capabilities. |\n| 🟡 **[ClawX](https://github.com/ValueCell-ai/ClawX)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/ValueCell-ai/ClawX?style=flat-square\u0026label=%E2%98%85)](https://github.com/ValueCell-ai/ClawX) | ValueCell-ai | Graphical desktop interface for OpenClaw AI agents. | Visual agent configuration, no-code execution controls, local execution logs. |\n| 🟢 **[Cursor](https://www.cursor.com/)** | Anysphere | Leading VS Code fork with deep AI integration. | \"Composer\" multi-file agent, autocomplete, inline codebase chat, custom index. |\n| 🟢 **[GitHub Copilot Workspace](https://github.com/features/copilot/workspace)** | GitHub / Microsoft | Task-centric cloud workspace. | Interactive issue plans, automated task lists, instant sandbox edits. |\n| 🟡 **[Melty](https://github.com/melty-labs/melty)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/melty-labs/melty?style=flat-square\u0026label=%E2%98%85)](https://github.com/melty-labs/melty) | Melty Labs | Open-source IDE that learns from developers. | Tracks git actions, code pattern indexing, smart autocompletion. |\n| 🟡 **[Orca](https://github.com/stablyai/orca)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/stablyai/orca?style=flat-square\u0026label=%E2%98%85)](https://github.com/stablyai/orca) | stablyai | Desktop and mobile ADE (Agent Development Environment). | Run fleets of parallel coding agents, multi-agent TUI, support for custom models. |\n| 🟢 **[Project IDX](https://idx.dev/)** | Google | Cloud-based developer workspace. | Multiplatform templates, integrated Gemini chat, device emulators. |\n| 🟢 **[Replit Agent](https://replit.com)** | Replit | Browser-based full-stack developer agent. | App creation, instant DB setup, one-click deployments. |\n| 🟢 **[Terax AI](https://github.com/crynta/terax-ai)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/crynta/terax-ai?style=flat-square\u0026label=%E2%98%85)](https://github.com/crynta/terax-ai) | crynta | Lightweight, terminal-first AI-native developer workspace. | Terminal-first design, local execution, multi-model compatibility |\n| 🟢 **[Windsurf](https://codeium.com/windsurf)** | Codeium | Agent-first IDE based on VS Code. | \"Windsurf Flow\" collaborative loops, fast indexing, persistent codebase context. |\n| 🟢 **[Zed AI](https://zed.dev/ai)** | Zed Decent | High-performance, collaborative rust-based IDE. | Multi-buffer editing, instant startup, inline LLM chats (OpenAI/Anthropic). |\n\n---\n\n## 🧩 AI Coding Extensions \u0026 Plugins\nAugmentative extensions to supercharge traditional IDEs (VS Code, JetBrains, Neovim).\n\n| Extension | Platform Support | Creator | Description / Key Features |\n| :--- | :--- | :--- | :--- |\n| 🟢 **[Amazon Q Developer](https://aws.amazon.com/q/developer/)** | VS Code, JetBrains | AWS | Autocomplete, security scans, legacy code translation, AWS cloud integrations. |\n| 🟢 **[Bito](https://bito.ai/)** | VS Code, JetBrains | Bito | AI helper for unit test generation, security checking, and explaining code. |\n| 🟢 **[Cline](https://github.com/cline/cline)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/cline/cline?style=flat-square\u0026label=%E2%98%85)](https://github.com/cline/cline) | VS Code | Cline | Open-source agent interface. Reads/writes files and runs terminal commands via MCP. |\n| 🟢 **[Codeium](https://codeium.com/)** | VS Code, JetBrains, Xcode, Neovim | Codeium | Free autocomplete, chat, semantic search, local index building. |\n| 🟢 **[CodexBar](https://github.com/steipete/CodexBar)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/steipete/CodexBar?style=flat-square\u0026label=%E2%98%85)](https://github.com/steipete/CodexBar) | Peter Steinberger | Menu bar assistant showing usage statistics for OpenAI Codex and Claude Code. | Usage statistics, offline monitoring, status bar access |\n| 🟢 **[Cody](https://sourcegraph.com/cody)** | VS Code, JetBrains, Neovim | Sourcegraph | Advanced semantic codebase search, code explanation, chat-with-docs. |\n| 🟢 **[Continue](https://github.com/continuedev/continue)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/continuedev/continue?style=flat-square\u0026label=%E2%98%85)](https://github.com/continuedev/continue) | VS Code, JetBrains | Continue | Open-source, model-agnostic extension. Connects to Ollama (local) or API keys. |\n| 🟢 **[Double.bot](https://www.double.bot/)** | VS Code, JetBrains | Double | High-accuracy inline editing, codebase context parsing. |\n| 🟢 **[GitHub Copilot](https://github.com/features/copilot)** | VS Code, JetBrains, Visual Studio, Neovim | GitHub | Fast autocomplete, chat panels, codebase indexing, PR description generator. |\n| 🟢 **[Roo Code](https://github.com/RooVetGit/Roo-Code)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/RooVetGit/Roo-Code?style=flat-square\u0026label=%E2%98%85)](https://github.com/RooVetGit/Roo-Code) | VS Code | Roo Vet | Cline fork with specialized agent modes, prompt overrides, and MCP diagnostics. |\n| 🟢 **[Supermaven](https://supermaven.com/)** | VS Code, JetBrains, Neovim | Supermaven | Ultra-low latency autocomplete, large 300,000 token context window. |\n| 🟢 **[Tabnine](https://www.tabnine.com/)** | VS Code, JetBrains, Eclipse | Tabnine | Secure autocomplete with local offline models or private cloud deployments. |\n\n---\n\n## 🔌 Custom Agent Skills \u0026 Plugins\nReusable, structured skills and behavior overrides designed to teach coding agents (like Claude Code, Gemini CLI, Cline) how to interact with external tools and follow specific protocols.\n\n| Skill / Plugin Repo | Creator | Description | Target Agent / Platform |\n| :--- | :--- | :--- | :--- |\n| 🟡 **[Academic Research Skills](https://github.com/Imbad0202/academic-research-skills)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/Imbad0202/academic-research-skills?style=flat-square\u0026label=%E2%98%85)](https://github.com/Imbad0202/academic-research-skills) | Imbad0202 | Workflows for research, compilation, drafting, and reviewing papers. | Claude Code / General Agents |\n| 🟢 **[Agent Skills](https://github.com/addyosmani/agent-skills)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/addyosmani/agent-skills?style=flat-square\u0026label=%E2%98%85)](https://github.com/addyosmani/agent-skills) | Addy Osmani | Production-grade software engineering skills. | Generic / Claude Code, Gemini CLI |\n| 🟡 **[Andrej Karpathy Skills](https://github.com/multica-ai/andrej-karpathy-skills)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/multica-ai/andrej-karpathy-skills?style=flat-square\u0026label=%E2%98%85)](https://github.com/multica-ai/andrej-karpathy-skills) | Multica AI | Claude Code behaviors derived from Karpathy's LLM coding pitfall observations. | Claude Code / CLAUDE.md |\n| 🟢 **[Anthropic Cybersecurity Skills](https://github.com/mukul975/Anthropic-Cybersecurity-Skills)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/mukul975/Anthropic-Cybersecurity-Skills?style=flat-square\u0026label=%E2%98%85)](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) | mukul975 | 817 structured cybersecurity skills for AI agents mapped to MITRE, NIST frameworks. | Claude Code / General Agents |\n| 🟢 **[Archify](https://github.com/tt-a1i/archify)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/tt-a1i/archify?style=flat-square\u0026label=%E2%98%85)](https://github.com/tt-a1i/archify) | tt-a1i | Agent skill to generate architecture diagrams with theme toggle and PNG/SVG export. | Diagram generation, dark/light theme, vector exports |\n| 🟢 **[Awesome Claude Skills](https://github.com/ComposioHQ/awesome-claude-skills)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/ComposioHQ/awesome-claude-skills?style=flat-square\u0026label=%E2%98%85)](https://github.com/ComposioHQ/awesome-claude-skills) | ComposioHQ | Curated list of awesome Claude Skills, resources, and tools. | Claude Code / General Agents |\n| 🔴 **[Caveman](https://github.com/JuliusBrussee/caveman)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/JuliusBrussee/caveman?style=flat-square\u0026label=%E2%98%85)](https://github.com/JuliusBrussee/caveman) | Julius Brussee | Token-saving skill that rewrites instructions into caveman talk. | Claude Code / General Agents |\n| 🟢 **[Claude HUD](https://github.com/jarrodwatts/claude-hud)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/jarrodwatts/claude-hud?style=flat-square\u0026label=%E2%98%85)](https://github.com/jarrodwatts/claude-hud) | Jarrod Watts | Claude Code plugin displaying context usage, active tools, running agents, and task progress. | HUD visualization, active tool tracking, task progress monitoring |\n| 🟢 **[Claude Mem](https://github.com/thedotmack/claude-mem)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/thedotmack/claude-mem?style=flat-square\u0026label=%E2%98%85)](https://github.com/thedotmack/claude-mem) | thedotmack | Persistent SQLite-based context and memory system for Claude Code and other agents. | Context persistence, AI-driven compression, multi-agent support |\n| 🔴 **[ClawHub](https://github.com/openclaw/clawhub)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/openclaw/clawhub?style=flat-square\u0026label=%E2%98%85)](https://github.com/openclaw/clawhub) | OpenClaw | Skill and plugin registry for OpenClaw agents. | OpenClaw |\n| 🟡 **[Compound Engineering](https://github.com/EveryInc/compound-engineering-plugin)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/EveryInc/compound-engineering-plugin?style=flat-square\u0026label=%E2%98%85)](https://github.com/EveryInc/compound-engineering-plugin) | EveryInc | Code optimization and refactoring agent plugin. | Standardized helper workflows for Claude Code, Codex, and Cursor. |\n| 🟡 **[Council of High Intelligence](https://github.com/0xNyk/council-of-high-intelligence)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/0xNyk/council-of-high-intelligence?style=flat-square\u0026label=%E2%98%85)](https://github.com/0xNyk/council-of-high-intelligence) | 0xNyk | Deliberation engine with 18 AI personas. | Claude Code / General Agent skill for structured multi-round deliberation and verdicts. |\n| 🟡 **[DESIGN.md](https://github.com/google-labs-code/design.md)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/google-labs-code/design.md?style=flat-square\u0026label=%E2%98%85)](https://github.com/google-labs-code/design.md) | google-labs-code | Format specification for describing a visual identity to coding agents. DESIGN.md gives agents a persistent, structured understanding of a design system. | Generic / Coding Agents |\n| 🔴 **[Graphify](https://github.com/safishamsi/graphify)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/safishamsi/graphify?style=flat-square\u0026label=%E2%98%85)](https://github.com/safishamsi/graphify) | safishamsi | Turn code, schemas, scripts, docs, and media into queryable knowledge graphs. | Claude Code / Codex / Gemini CLI / Cursor |\n| 🟡 **[gstack](https://github.com/garrytan/gstack)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/garrytan/gstack?style=flat-square\u0026label=%E2%98%85)](https://github.com/garrytan/gstack) | Garry Tan | Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Doc Engineer, and QA. | Claude Code / CLAUDE.md |\n| 🟡 **[Guizang PPT Skill](https://github.com/op7418/guizang-ppt-skill)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/op7418/guizang-ppt-skill?style=flat-square\u0026label=%E2%98%85)](https://github.com/op7418/guizang-ppt-skill) | op7418 | AI-agent Skill for generating polished HTML slide decks with Swiss layouts. | Claude Code / Codex / General Agents |\n| 🟢 **[jscpd](https://github.com/kucherenko/jscpd)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/kucherenko/jscpd?style=flat-square\u0026label=%E2%98%85)](https://github.com/kucherenko/jscpd) | Andrey Kucherenko | Copy/paste detector for programming source code, AI-ready with token-efficient reporter and skill. | Generic / Coding Agents |\n| 🔴 **[Last 30 Days Skill](https://github.com/mvanhorn/last30days-skill)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/mvanhorn/last30days-skill?style=flat-square\u0026label=%E2%98%85)](https://github.com/mvanhorn/last30days-skill) | M. Van Horn | Scrapes and synthesizes web/forum summaries. | Claude Code / Generic Agents |\n| 🟡 **[Matt Pocock Skills](https://github.com/mattpocock/skills)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/mattpocock/skills?style=flat-square\u0026label=%E2%98%85)](https://github.com/mattpocock/skills) | Matt Pocock | Opinionated TypeScript/Web developer agent skills. | Exposes specialized workflows and commands from a `.claude` directory. |\n| 🟡 **[Obsidian Skills](https://github.com/kepano/obsidian-skills)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/kepano/obsidian-skills?style=flat-square\u0026label=%E2%98%85)](https://github.com/kepano/obsidian-skills) | Kepano | Teaches agents to read Markdown, Bases, and JSON Canvas in Obsidian. | Obsidian / Generic Agents |\n| 🟡 **[OpenSpec](https://github.com/Fission-AI/OpenSpec)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/Fission-AI/OpenSpec?style=flat-square\u0026label=%E2%98%85)](https://github.com/Fission-AI/OpenSpec) | Fission-AI | Spec-driven development framework. | Formal specifications and test cases designed for AI pair programmers. |\n| 🟡 **[React Doctor](https://github.com/millionco/react-doctor)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/millionco/react-doctor?style=flat-square\u0026label=%E2%98%85)](https://github.com/millionco/react-doctor) | Million.co | Catch and fix bad React code generated by AI agents. | Generic / Code Review Agents |\n| 🟢 **[SkillOpt](https://github.com/microsoft/SkillOpt)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/microsoft/SkillOpt?style=flat-square\u0026label=%E2%98%85)](https://github.com/microsoft/SkillOpt) | microsoft | SkillOpt is a text-space optimizer that trains reusable natural-language skills. | Automated, open-source |\n| 🟢 **[Stitch Skills](https://github.com/google-labs-code/stitch-skills)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/google-labs-code/stitch-skills?style=flat-square\u0026label=%E2%98%85)](https://github.com/google-labs-code/stitch-skills) | Google Labs | Library of agent skills designed to work with the Stitch MCP server. | Open skills standard, multi-agent compatibility, tool bindings |\n| 🟡 **[stop-slop](https://github.com/hardikpandya/stop-slop)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/hardikpandya/stop-slop?style=flat-square\u0026label=%E2%98%85)](https://github.com/hardikpandya/stop-slop) | hardikpandya | AI writing mitigation skill. | Strips predictable AI phrases and cliches from generated documentation and text. |\n| 🟡 **[Superpowers](https://github.com/obra/superpowers)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/obra/superpowers?style=flat-square\u0026label=%E2%98%85)](https://github.com/obra/superpowers) | Obra | An agentic skills framework \u0026 software development methodology that works. | Generic / Claude Code, Gemini CLI |\n| 🔴 **[Taste-Skill](https://github.com/Leonxlnx/taste-skill)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/Leonxlnx/taste-skill?style=flat-square\u0026label=%E2%98%85)](https://github.com/Leonxlnx/taste-skill) | Leonxlnx | Taste-Skill - gives your AI good taste, stopping boring and generic layout generation. | Claude Code / Codex |\n\n---\n\n## 🛡️ AI Gateways, Proxies \u0026 Agent Security\nMiddlewares, security gatekeepers, and routing gateways that manage LLM traffic, load balance queries, track costs, and redact secrets or PII.\n\n| Tool / Proxy | Creator | Description | Key Features |\n| :--- | :--- | :--- | :--- |\n| 🟡 **[9router](https://github.com/decolua/9router)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/decolua/9router?style=flat-square\u0026label=%E2%98%85)](https://github.com/decolua/9router) | Decolua | Local proxy and router for AI tools. | Connects CLI agents to 40+ providers, automatic fallbacks, token compression. |\n| 🔴 **[Clawshield](https://github.com/SleuthCo/clawshield-public)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/SleuthCo/clawshield-public?style=flat-square\u0026label=%E2%98%85)](https://github.com/SleuthCo/clawshield-public) | SleuthCo | YAML-driven security gateway for dev agents. | Enforces prompt policies, logs outputs, filters outbound credentials. |\n| 🟢 **[CodeGate](https://github.com/stacklok/codegate)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/stacklok/codegate?style=flat-square\u0026label=%E2%98%85)](https://github.com/stacklok/codegate) | Stacklok | Privacy-first local proxy for IDE extensions/CLIs. | Detects/masks PII and API keys, warns of vulnerable packages, local decryption. |\n| 🟢 **[FreeLLMAPI](https://github.com/tashfeenahmed/freellmapi)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/tashfeenahmed/freellmapi?style=flat-square\u0026label=%E2%98%85)](https://github.com/tashfeenahmed/freellmapi) | tashfeenahmed | Aggregated LLM proxy for free tiers. | Combines 16+ provider free tiers into one OpenAI-compatible endpoint with automatic failover. |\n| 🔴 **[Kiji Proxy](https://github.com/dataiku/kiji-proxy)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/dataiku/kiji-proxy?style=flat-square\u0026label=%E2%98%85)](https://github.com/dataiku/kiji-proxy) | Dataiku | Lightweight PII masking proxy. | Regular expression and NLP-based token masking. |\n| 🟢 **[LiteLLM](https://github.com/BerriAI/litellm)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/BerriAI/litellm?style=flat-square\u0026label=%E2%98%85)](https://github.com/BerriAI/litellm) | BerriAI | Call 100+ LLM APIs using the OpenAI format. Proxy server for load balancing, cost tracking, and fallbacks. | Load balancer, budget manager, billing tracking, fallback routing. |\n| 🟡 **[no-mistakes](https://github.com/kunchenguid/no-mistakes)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/kunchenguid/no-mistakes?style=flat-square\u0026label=%E2%98%85)](https://github.com/kunchenguid/no-mistakes) | kunchenguid | AI code push gateway and quality gate. | Runs tests/linting on temporary worktrees before forwarding pushes and opening PRs. |\n| 🟡 **[OmniRoute](https://github.com/diegosouzapw/OmniRoute)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/diegosouzapw/OmniRoute?style=flat-square\u0026label=%E2%98%85)](https://github.com/diegosouzapw/OmniRoute) | diegosouzapw | AI gateway supporting smart routing, load balancing, retries, and fallback mechanisms for multi-provider LLMs. | OpenAI-compatible endpoint, retries, multi-provider fallbacks. |\n| 🟢 **[One API](https://github.com/songquanpeng/one-api)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/songquanpeng/one-api?style=flat-square\u0026label=%E2%98%85)](https://github.com/songquanpeng/one-api) | songquanpeng | Multi-provider LLM API key management, distribution, and billing proxy system. | OpenAI API format wrapper, multi-user quotas, custom billing. |\n| 🟢 **[Portkey AI Gateway](https://github.com/Portkey-AI/gateway)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/Portkey-AI/gateway?style=flat-square\u0026label=%E2%98%85)](https://github.com/Portkey-AI/gateway) | Portkey-AI | High-performance, open-source AI gateway to route, load-balance, cache, and monitor LLM queries. | 50+ LLM integrations, fast routing, caching, observability. |\n| 🟢 **[RouteLLM](https://github.com/lm-sys/RouteLLM)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/lm-sys/RouteLLM?style=flat-square\u0026label=%E2%98%85)](https://github.com/lm-sys/RouteLLM) | lm-sys | Open-source framework for cost-saving LLM routing, sending simpler queries to smaller models and complex queries to larger ones. | Cost optimization, router training and evaluation, BERT-based routing models. |\n| 🟡 **[Strix](https://github.com/usestrix/strix)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/usestrix/strix?style=flat-square\u0026label=%E2%98%85)](https://github.com/usestrix/strix) | usestrix | AI-powered penetration testing security tool. | Finds, tests, and auto-patches security vulnerabilities within agentic CI pipelines. |\n| 🟢 **[WitnessAI](https://witness.ai)** | WitnessAI | Enterprise-grade AI proxy firewall. | Granular policy configurations, real-time agent auditing, schema obscuring. |\n\n---\n\n## ⚙️ AI Agent Frameworks \u0026 Multi-Agent Platforms\nOrchestration frameworks that allow developers to design, wire, and deploy complex autonomous agent teams.\n\n| Framework | Creator | Description | Key Features |\n| :--- | :--- | :--- | :--- |\n| 🟡 **[Agency Agents](https://github.com/msitarzewski/agency-agents)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/msitarzewski/agency-agents?style=flat-square\u0026label=%E2%98%85)](https://github.com/msitarzewski/agency-agents) | msitarzewski | Specialized expert agent pack for creative agencies. | Social media bots, copy editors, UX reviewers, community monitors. |\n| 🔴 **[AgentBBS](https://github.com/ruvnet/AgentBBS)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/ruvnet/AgentBBS?style=flat-square\u0026label=%E2%98%85)](https://github.com/ruvnet/AgentBBS) | ruvnet | Multiplayer agent arena and BBS workspace. | Human-agent multiplayer board, MCP and SSH access interfaces, arena benchmarking. |\n| 🟢 **[Agno](https://github.com/agno-agi/agno)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/agno-agi/agno?style=flat-square\u0026label=%E2%98%85)](https://github.com/agno-agi/agno) | Agno AI | Open-source framework for building multi-modal agents. | Fast execution, built-in vector integrations, multi-modal support. |\n| 🔴 **[AI Berkshire](https://github.com/xbtlin/ai-berkshire)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/xbtlin/ai-berkshire?style=flat-square\u0026label=%E2%98%85)](https://github.com/xbtlin/ai-berkshire) | xbtlin | A value investing research framework built on Claude Code using multi-agent adversarial analysis. | Python / Claude Code |\n| 🟡 **[AI Hedge Fund](https://github.com/virattt/ai-hedge-fund)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/virattt/ai-hedge-fund?style=flat-square\u0026label=%E2%98%85)](https://github.com/virattt/ai-hedge-fund) | virattt | Simulated multi-agent hedge fund team. | Agent roles: market analyst, risk manager, portfolio optimizer, trader. |\n| 🔴 **[AI Scientist v2](https://github.com/SakanaAI/AI-Scientist-v2)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/SakanaAI/AI-Scientist-v2?style=flat-square\u0026label=%E2%98%85)](https://github.com/SakanaAI/AI-Scientist-v2) | SakanaAI | Fully automated scientific discovery agent. | Tree-search planning, paper writing, data generation, automated peer review. |\n| 🟢 **[AutoGen](https://github.com/microsoft/autogen)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/microsoft/autogen?style=flat-square\u0026label=%E2%98%85)](https://github.com/microsoft/autogen) | Microsoft | Multi-agent conversation framework. | Customizable agent personalities, human-in-the-loop, conversable structures. |\n| 🟢 **[autogen](https://github.com/microsoft/autogen)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/microsoft/autogen?style=flat-square\u0026label=%E2%98%85)](https://github.com/microsoft/autogen) | microsoft | A programming framework for agentic AI. | Automated, open-source |\n| 🟢 **[AutoGPT](https://github.com/Significant-Gravitas/AutoGPT)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/Significant-Gravitas/AutoGPT?style=flat-square\u0026label=%E2%98%85)](https://github.com/Significant-Gravitas/AutoGPT) | Significant Gravitas | One of the earliest autonomous agent projects. | Multi-agent pipelines, web search, memory integration. |\n| 🔴 **[BabyAGI](https://github.com/yoheinakajima/babyagi)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/yoheinakajima/babyagi?style=flat-square\u0026label=%E2%98%85)](https://github.com/yoheinakajima/babyagi) | Yohei Nakajima | Lightweight task-driven agent loop. | Simple agent architecture utilizing vector databases and task management pools. |\n| 🟢 **[CrewAI](https://github.com/crewAIInc/crewAI)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/crewAIInc/crewAI?style=flat-square\u0026label=%E2%98%85)](https://github.com/crewAIInc/crewAI) | CrewAI Inc | Role-based agent teams orchestration. | Easy agent role-play definitions, task delegation, sequential or hierarchical execution. |\n| 🟢 **[CubeSandbox](https://github.com/TencentCloud/CubeSandbox)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/TencentCloud/CubeSandbox?style=flat-square\u0026label=%E2%98%85)](https://github.com/TencentCloud/CubeSandbox) | TencentCloud | Instant, Concurrent, Secure \u0026 Lightweight Sandbox for AI Agents. | Automated, open-source |\n| 🔴 **[DeepAgents](https://github.com/langchain-ai/deepagents)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/langchain-ai/deepagents?style=flat-square\u0026label=%E2%98%85)](https://github.com/langchain-ai/deepagents) | LangChain AI | Batteries-included agent harness library. | Standard task interfaces, tool execution wrappers, built-in debug trackers. |\n| 🔴 **[Deer Flow](https://github.com/bytedance/deer-flow)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/bytedance/deer-flow?style=flat-square\u0026label=%E2%98%85)](https://github.com/bytedance/deer-flow) | ByteDance | Long-horizon SuperAgent harness for automated research. | Deep memory architecture, sandboxed execution, goal decomposition. |\n| 🔴 **[Dexter](https://github.com/virattt/dexter)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/virattt/dexter?style=flat-square\u0026label=%E2%98%85)](https://github.com/virattt/dexter) | virattt | Autonomous agent for deep financial research. | Market scraping, portfolio modeling, automated report drafting. |\n| 🟢 **[ECC](https://github.com/affaan-m/ECC)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/affaan-m/ECC?style=flat-square\u0026label=%E2%98%85)](https://github.com/affaan-m/ECC) | affaan-m | The agent harness performance optimization system. | Automated, open-source |\n| 🔴 **[Generic Agent](https://github.com/lsdefine/GenericAgent)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/lsdefine/GenericAgent?style=flat-square\u0026label=%E2%98%85)](https://github.com/lsdefine/GenericAgent) | lsdefine | Self-evolving AI agent with dynamic skill trees. | Seeded by a 3.3K line Python script, builds its own skills, low token overhead. |\n| 🔴 **[Hermes Agent](https://github.com/NousResearch/hermes-agent)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/NousResearch/hermes-agent?style=flat-square\u0026label=%E2%98%85)](https://github.com/NousResearch/hermes-agent) | Nous Research | An agent that learns and evolves its internal loop processes. | Self-correction heuristics, modular agent graph, adaptive tool binding. |\n| 🟢 **[LangGraph](https://github.com/langchain-ai/langgraph)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/langchain-ai/langgraph?style=flat-square\u0026label=%E2%98%85)](https://github.com/langchain-ai/langgraph) | LangChain AI | Stateful multi-agent graph orchestrator. | Cycles, human-in-the-loop, structured state, production-ready. |\n| 🟢 **[LobeHub](https://github.com/lobehub/lobehub)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/lobehub/lobehub?style=flat-square\u0026label=%E2%98%85)](https://github.com/lobehub/lobehub) | LobeHub | Chief Agent Operator for organizing and scheduling multi-agent teams. | Multi-agent collaboration, 7x24 agent operations, deep client integration. |\n| 🟢 **[mastra](https://github.com/mastra-ai/mastra)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/mastra-ai/mastra?style=flat-square\u0026label=%E2%98%85)](https://github.com/mastra-ai/mastra) | mastra-ai | Mastra is the modern TypeScript framework for AI-powered applications and agents. | Automated, open-source |\n| 🟢 **[MetaGPT](https://github.com/FoundationAgents/MetaGPT)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/FoundationAgents/MetaGPT?style=flat-square\u0026label=%E2%98%85)](https://github.com/FoundationAgents/MetaGPT) | FoundationAgents | Multi-agent framework mimicking software teams. | Simulates product managers, designers, and developers via SOPs. |\n| 🔴 **[MiroFish](https://github.com/666ghj/MiroFish)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/666ghj/MiroFish?style=flat-square\u0026label=%E2%98%85)](https://github.com/666ghj/MiroFish) | 666ghj | Swarm intelligence prediction engine. | Multi-node consensus, predictive optimization loops. |\n| 🟡 **[Multica](https://github.com/multica-ai/multica)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/multica-ai/multica?style=flat-square\u0026label=%E2%98%85)](https://github.com/multica-ai/multica) | Multica AI | Managed open-source agent platform. | Skill compounding, real-time progress logging, teammate assign systems. |\n| 🔴 **[OpenMontage](https://github.com/calesthio/OpenMontage)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/calesthio/OpenMontage?style=flat-square\u0026label=%E2%98%85)](https://github.com/calesthio/OpenMontage) | calesthio | Open-source agentic video production system with 12 pipelines, 52 tools, and 500+ agent skills. | Python / Video Generation |\n| 🔴 **[Page Agent](https://github.com/alibaba/page-agent)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/alibaba/page-agent?style=flat-square\u0026label=%E2%98%85)](https://github.com/alibaba/page-agent) | Alibaba | JavaScript in-page GUI agent that controls web interfaces with natural language. | TypeScript / Web GUI Control |\n| 🟢 **[pydantic-ai](https://github.com/pydantic/pydantic-ai)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/pydantic/pydantic-ai?style=flat-square\u0026label=%E2%98%85)](https://github.com/pydantic/pydantic-ai) | pydantic | AI Agent Framework, the Pydantic way. | Automated, open-source |\n| 🟡 **[ruflo](https://github.com/ruvnet/ruflo)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/ruvnet/ruflo?style=flat-square\u0026label=%E2%98%85)](https://github.com/ruvnet/ruflo) | ruvnet | Leading agent meta-harness for Claude to deploy multi-agent swarms. | Swarm intelligence, adaptive memory, self-learning workflows, RAG integration. |\n| 🟡 **[Sim](https://github.com/simstudioai/sim)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/simstudioai/sim?style=flat-square\u0026label=%E2%98%85)](https://github.com/simstudioai/sim) | Sim Studio | Workforce agent management layer. | Integrates multi-agent tasks, live team logging, worker synchronization. |\n| 🔴 **[TradingAgents](https://github.com/TauricResearch/TradingAgents)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/TauricResearch/TradingAgents?style=flat-square\u0026label=%E2%98%85)](https://github.com/TauricResearch/TradingAgents) | TauricResearch | Multi-agent LLM financial trading framework. | Simulated trading environments, multi-agent portfolios. |\n\n---\n\n## 🛠️ LLM DevTools \u0026 Orchestration Infrastructure\nLibraries, SDKs, parsers, and intelligence engines to manage data pipelines, structure outputs, and monitor production AI applications.\n\n| Tool | Creator | Description | Key Features |\n| :--- | :--- | :--- | :--- |\n| 🟡 **[Agent-Reach](https://github.com/Panniantong/Agent-Reach)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/Panniantong/Agent-Reach?style=flat-square\u0026label=%E2%98%85)](https://github.com/Panniantong/Agent-Reach) | Panniantong | External internet search harness for agents. | Scraping and reading web pages, social media, and forums without API fees. |\n| 🔴 **[AgentiCOW](https://github.com/ruvnet/agenticow)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/ruvnet/agenticow?style=flat-square\u0026label=%E2%98%85)](https://github.com/ruvnet/agenticow) | ruvnet | Copy-on-Write memory branching tool. | Multi-agent vector database memory snapshots, 83x faster than full persistence. |\n| 🟢 **[Claude Video](https://github.com/bradautomates/claude-video)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/bradautomates/claude-video?style=flat-square\u0026label=%E2%98%85)](https://github.com/bradautomates/claude-video) | bradautomates | Gives Claude the ability to watch any video via download, frame extraction, and transcription. | Video downloads, frame extraction, automated transcription |\n| 🔴 **[ClipCannon](https://github.com/ChrisRoyse/clipcannon)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/ChrisRoyse/clipcannon?style=flat-square\u0026label=%E2%98%85)](https://github.com/ChrisRoyse/clipcannon) | Chris Royse | AI-driven video processing tool that maps transcripts and media segments into semantic vector clusters. | Teleological constellations mapping, video content vector indexing, semantic search. |\n| 🔴 **[CodeGraph](https://github.com/colbymchenry/codegraph)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/colbymchenry/codegraph?style=flat-square\u0026label=%E2%98%85)](https://github.com/colbymchenry/codegraph) | Colby McHenry | Pre-indexed local code knowledge graph. | Syncs automatically on git changes, exposes code indexes locally to avoid API calls. |\n| 🟢 **[Crawl4AI](https://github.com/unclecode/crawl4ai)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/unclecode/crawl4ai?style=flat-square\u0026label=%E2%98%85)](https://github.com/unclecode/crawl4ai) | unclecode | Open-source LLM-friendly web crawler and scraper for agentic workflows. | High-speed crawling, LLM-ready markdown conversion, structured data extraction |\n| 🟢 **[Dify](https://github.com/langgenius/dify)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/langgenius/dify?style=flat-square\u0026label=%E2%98%85)](https://github.com/langgenius/dify) | LangGenius | Visual LLM app building and operations platform. | Workflow orchestrator, prompt engineering UI, vector db integrations, monitoring dashboards. |\n| 🟢 **[firecrawl](https://github.com/mendableai/firecrawl)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/mendableai/firecrawl?style=flat-square\u0026label=%E2%98%85)](https://github.com/mendableai/firecrawl) | mendableai | The API to search, scrape, and interact with the web at scale. | Automated, open-source |\n| 🟢 **[Flowise](https://github.com/FlowiseAI/Flowise)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/FlowiseAI/Flowise?style=flat-square\u0026label=%E2%98%85)](https://github.com/FlowiseAI/Flowise) | FlowiseAI | Drag \u0026 drop UI for building LangChain/LlamaIndex apps. | Visual nodes, instant API endpoints, chat widget deployments. |\n| 🔴 **[GitNexus](https://github.com/abhigyanpatwari/GitNexus)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/abhigyanpatwari/GitNexus?style=flat-square\u0026label=%E2%98%85)](https://github.com/abhigyanpatwari/GitNexus) | Abhigyan Patwari | Client-side, zero-server repository intelligence engine. | Runs in-browser, maps code dependencies, outputs AI-friendly knowledge maps. |\n| 🔴 **[Heretic](https://github.com/p-e-w/heretic)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/p-e-w/heretic?style=flat-square\u0026label=%E2%98%85)](https://github.com/p-e-w/heretic) | p-e-w | Automatic model censorship removal tool. | Local model tuning layer, automated system alignment bypass. |\n| 🟢 **[LangChain](https://github.com/langchain-ai/langchain)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/langchain-ai/langchain?style=flat-square\u0026label=%E2%98%85)](https://github.com/langchain-ai/langchain) | LangChain AI | De facto standard ecosystem for LLM orchestration. | Chains, prompts, data connectors, custom tool integrations, LangSmith observability. |\n| 🟢 **[langflow](https://github.com/langflow-ai/langflow)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/langflow-ai/langflow?style=flat-square\u0026label=%E2%98%85)](https://github.com/langflow-ai/langflow) | langflow-ai | Langflow is a powerful tool for building and deploying AI-powered agents and workflows. | Automated, open-source |\n| 🟡 **[Lightpanda Browser](https://github.com/lightpanda-io/browser)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/lightpanda-io/browser?style=flat-square\u0026label=%E2%98%85)](https://github.com/lightpanda-io/browser) | Lightpanda | Headless browser built in Zig for AI agents. | High-speed, lightweight DOM execution, optimal for sandboxed agent scraping. |\n| 🟢 **[LlamaFactory](https://github.com/hiyouga/LlamaFactory)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/hiyouga/LlamaFactory?style=flat-square\u0026label=%E2%98%85)](https://github.com/hiyouga/LlamaFactory) | hiyouga | Unified efficient fine-tuning framework for 100+ LLMs and VLMs. | Web UI dashboard, multi-GPU training support, RLHF/QLoRA methods. |\n| 🟢 **[LlamaIndex](https://github.com/run-llama/llama_index)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/run-llama/llama_index?style=flat-square\u0026label=%E2%98%85)](https://github.com/run-llama/llama_index) | LlamaIndex | Data framework for LLM/RAG applications. | Data ingestors, indexing tools, structured queries, custom query engines. |\n| 🟢 **[Mem0](https://github.com/mem0ai/mem0)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/mem0ai/mem0?style=flat-square\u0026label=%E2%98%85)](https://github.com/mem0ai/mem0) | Mem0 | Personalized memory layer for AI agents. | Remembers user preferences, updates context over time, optimizes personalization. |\n| 🟢 **[MinerU](https://github.com/opendatalab/MinerU)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/opendatalab/MinerU?style=flat-square\u0026label=%E2%98%85)](https://github.com/opendatalab/MinerU) | OpenDataLab | Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for agentic workflows. | High-precision PDF layout extraction, structural element recognition. |\n| 🟢 **[n8n](https://github.com/n8n-io/n8n)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/n8n-io/n8n?style=flat-square\u0026label=%E2%98%85)](https://github.com/n8n-io/n8n) | n8n-io | Fair-code workflow automation platform with native AI capabilities. | Visual workflow builder, 400+ integrations, native agent/subagent orchestration nodes. |\n| 🟡 **[nimbench](https://github.com/youxufkhan/nimbench)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/youxufkhan/nimbench?style=flat-square\u0026label=%E2%98%85)](https://github.com/youxufkhan/nimbench) | youxufkhan | A lightweight CLI benchmarking tool for NVIDIA NIM LLMs. | Automated, open-source |\n| 🟢 **[OfficeCLI](https://github.com/iOfficeAI/OfficeCLI)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/iOfficeAI/OfficeCLI?style=flat-square\u0026label=%E2%98%85)](https://github.com/iOfficeAI/OfficeCLI) | iOfficeAI | Office suite purpose-built for AI agents to read, edit, and automate Word, Excel, and PowerPoint files. | Single binary, no Office installation required, document automation |\n| 🟢 **[olmOCR](https://github.com/allenai/olmocr)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/allenai/olmocr?style=flat-square\u0026label=%E2%98%85)](https://github.com/allenai/olmocr) | Allen Institute for AI | Toolkit for linearizing PDF documents into clean markdown for LLMs. | PDF layout analysis, clean text extraction, markdown linearization |\n| 🔴 **[OpenDataLoader PDF](https://github.com/opendataloader-project/opendataloader-pdf)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/opendataloader-project/opendataloader-pdf?style=flat-square\u0026label=%E2%98%85)](https://github.com/opendataloader-project/opendataloader-pdf) | OpenDataLoader | Open-source PDF parser optimized for LLM training. | High accuracy structure mapping, table extraction, cleans layout noise. |\n| 🔴 **[OpenViking](https://github.com/volcengine/OpenViking)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/volcengine/OpenViking?style=flat-square\u0026label=%E2%98%85)](https://github.com/volcengine/OpenViking) | Volcengine | Context database tailored for AI agents. | Persistent agent memory storage, runtime resource management, skill indexes. |\n| 🟢 **[openwiki](https://github.com/langchain-ai/openwiki)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/langchain-ai/openwiki?style=flat-square\u0026label=%E2%98%85)](https://github.com/langchain-ai/openwiki) | langchain-ai | OpenWiki is a CLI that writes and maintains agent documentation for your codebase. | Automated, open-source |\n| 🟢 **[PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/PaddlePaddle/PaddleOCR?style=flat-square\u0026label=%E2%98%85)](https://github.com/PaddlePaddle/PaddleOCR) | PaddlePaddle | Document-to-text OCR parser. | Supports 100+ languages, extracts layout and tables from scanned documents. |\n| 🟢 **[ragflow](https://github.com/infiniflow/ragflow)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/infiniflow/ragflow?style=flat-square\u0026label=%E2%98%85)](https://github.com/infiniflow/ragflow) | infiniflow | RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine. | Automated, open-source |\n| 🟢 **[Supermemory](https://github.com/supermemoryai/supermemory)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/supermemoryai/supermemory?style=flat-square\u0026label=%E2%98%85)](https://github.com/supermemoryai/supermemory) | supermemoryai | Context and memory engine for AI apps. | High-speed, fully local or cloud-hosted memory API for storing agent context. |\n| 🟢 **[TencentDB-Agent-Memory](https://github.com/TencentCloud/TencentDB-Agent-Memory)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/TencentCloud/TencentDB-Agent-Memory?style=flat-square\u0026label=%E2%98%85)](https://github.com/TencentCloud/TencentDB-Agent-Memory) | TencentCloud | TencentDB Agent Memory delivers fully local long-term memory for AI Agents. | Automated, open-source |\n| 🟢 **[Video Use](https://github.com/browser-use/video-use)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/browser-use/video-use?style=flat-square\u0026label=%E2%98%85)](https://github.com/browser-use/video-use) | browser-use | Edit videos using autonomous coding agents. | Video editing interface, agent workflow orchestration, media automation |\n\n---\n\n## 📡 Model Context Protocol (MCP) Servers\nMCP is a protocol designed to connect LLMs to data, tools, filesystems, and external APIs. Exposes services to MCP-compliant agents (e.g. Gemini CLI, Claude Code, Cline).\n\n| MCP Server | Creator | Description | Tools / Access Exposed |\n| :--- | :--- | :--- | :--- |\n| 🟢 **[Agent Toolkit for AWS](https://github.com/aws/agent-toolkit-for-aws)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/aws/agent-toolkit-for-aws?style=flat-square\u0026label=%E2%98%85)](https://github.com/aws/agent-toolkit-for-aws) | AWS | Official AWS-supported MCP servers, skills, and plugins to help AI agents build on AWS. | AWS services access (S3, EC2, Bedrock, etc.) |\n| 🟢 **[awesome-mcp-servers](https://github.com/punkpeye/awesome-mcp-servers)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/punkpeye/awesome-mcp-servers?style=flat-square\u0026label=%E2%98%85)](https://github.com/punkpeye/awesome-mcp-servers) | punkpeye | A collection of MCP servers. | Automated, open-source |\n| 🟡 **[Claude Context MCP](https://github.com/zilliztech/claude-context)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/zilliztech/claude-context?style=flat-square\u0026label=%E2%98%85)](https://github.com/zilliztech/claude-context) | Zilliz Tech | Vector search-based code search MCP server. | Code search over huge codebases, fast local similarity query tools. |\n| 🔴 **[Context7](https://github.com/upstash/context7)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/upstash/context7?style=flat-square\u0026label=%E2%98%85)](https://github.com/upstash/context7) | Upstash | Serverless state and tool cache. | Caches tool executions, manages state across agent handoffs. |\n| 🟢 **[Desktop Commander MCP](https://github.com/wonderwhy-er/DesktopCommanderMCP)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/wonderwhy-er/DesktopCommanderMCP?style=flat-square\u0026label=%E2%98%85)](https://github.com/wonderwhy-er/DesktopCommanderMCP) | wonderwhy-er | MCP server for Claude that provides terminal control, file system search, and diff editing. | Terminal control, file search, diff file editing |\n| 🟢 **[GitHub MCP Server](https://github.com/github/github-mcp-server)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/github/github-mcp-server?style=flat-square\u0026label=%E2%98%85)](https://github.com/github/github-mcp-server) | GitHub | Official GitHub API bridge. | Lists issues, manages PRs, commits changes, searches repositories. |\n| 🟢 **[MCP Servers Repo](https://github.com/modelcontextprotocol/servers)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/modelcontextprotocol/servers?style=flat-square\u0026label=%E2%98%85)](https://github.com/modelcontextprotocol/servers) | Anthropic | Standard repository of reference MCP servers. | Postgres, SQLite, Slack, GitHub, Puppeteer, Brave Search. |\n| 🟢 **[Playwright MCP](https://github.com/microsoft/playwright-mcp)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/microsoft/playwright-mcp?style=flat-square\u0026label=%E2%98%85)](https://github.com/microsoft/playwright-mcp) | Microsoft | Browser automation server. | Exposes headless browser actions (navigate, click, type, screenshot). |\n\n---\n\n## ⚡ LLM Inference \u0026 Local Serving Engines\nEngines designed to run, serve, and perform inference with large language models locally or in private clouds.\n\n| Engine | Creator | Description | Key Features |\n| :--- | :--- | :--- | :--- |\n| 🟢 **[GPT4All](https://github.com/nomic-ai/gpt4all)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/nomic-ai/gpt4all?style=flat-square\u0026label=%E2%98%85)](https://github.com/nomic-ai/gpt4all) | Nomic AI | Desktop app and SDK for local LLM execution. | Runs locally on consumer GPUs/CPUs, built-in search/document RAG capabilities. |\n| 🟡 **[LiteRT-LM](https://github.com/google-ai-edge/LiteRT-LM)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/google-ai-edge/LiteRT-LM?style=flat-square\u0026label=%E2%98%85)](https://github.com/google-ai-edge/LiteRT-LM) | Google AI Edge | Edge device model inference engine. | Highly optimized for mobile devices and embedded hardware. |\n| 🟢 **[llama.cpp](https://github.com/ggml-org/llama.cpp)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/ggml-org/llama.cpp?style=flat-square\u0026label=%E2%98%85)](https://github.com/ggml-org/llama.cpp) | GGML Org | High-performance inference engine in C/C++. | CPU/GPU execution, low memory overhead, broad hardware support. |\n| 🟢 **[Llamafile](https://github.com/Mozilla-Ocho/llamafile)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/Mozilla-Ocho/llamafile?style=flat-square\u0026label=%E2%98%85)](https://github.com/Mozilla-Ocho/llamafile) | Mozilla Ocho | Single-file executable for local LLMs. | Runs across 6 OS platforms without installations, fast CPU execution. |\n| 🔴 **[llmfit](https://github.com/AlexsJones/llmfit)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/AlexsJones/llmfit?style=flat-square\u0026label=%E2%98%85)](https://github.com/AlexsJones/llmfit) | AlexsJones | Find out which local models and providers run on your hardware. | Model hardware scanner, benchmark testing, single-command usage. |\n| 🟢 **[LMCache](https://github.com/LMCache/LMCache)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/LMCache/LMCache?style=flat-square\u0026label=%E2%98%85)](https://github.com/LMCache/LMCache) | LMCache | LMCache: Supercharge Your LLM with the Fastest KV Cache Layer. | Automated, open-source |\n| 🟢 **[LocalAI](https://github.com/mudler/LocalAI)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/mudler/LocalAI?style=flat-square\u0026label=%E2%98%85)](https://github.com/mudler/LocalAI) | mudler | Drop-in OpenAI replacement for local models. | Supports audio generation, images, embedding, and text models. |\n| 🟢 **[Ollama](https://github.com/ollama/ollama)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/ollama/ollama?style=flat-square\u0026label=%E2%98%85)](https://github.com/ollama/ollama) | Ollama | Package and run LLMs locally on macOS, Linux, and Windows. | Simple CLI, one-line installs (Llama 3, Phi, Qwen), OpenAI compatible API. |\n| 🟢 **[SGLang](https://github.com/sgl-project/sglang)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/sgl-project/sglang?style=flat-square\u0026label=%E2%98%85)](https://github.com/sgl-project/sglang) | SGLang Project | Structured generation language \u0026 engine. | High throughput serving, prompt caching, JSON schema constraints. |\n| 🟢 **[Text-generation-webui](https://github.com/oobabooga/text-generation-webui)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/oobabooga/text-generation-webui?style=flat-square\u0026label=%E2%98%85)](https://github.com/oobabooga/text-generation-webui) | oobabooga | Gradio web UI for running local models. | Supports transformers, llama.cpp, ExLlamaV2, custom parameter sliders. |\n| 🟢 **[vLLM](https://github.com/vllm-project/vllm)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/vllm-project/vllm?style=flat-square\u0026label=%E2%98%85)](https://github.com/vllm-project/vllm) | vLLM Project | High-throughput, memory-efficient LLM serving engine. | PagedAttention, continuous batching, distributed inference, serving API. |\n\n---\n\n## 🗄️ Vector Databases \u0026 Vector Stores\nSpecialized databases built to index, store, and query high-dimensional embeddings for RAG and agent memory.\n\n| Database | Creator | Description | Key Features |\n| :--- | :--- | :--- | :--- |\n| 🟢 **[Chroma](https://github.com/chroma-core/chroma)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/chroma-core/chroma?style=flat-square\u0026label=%E2%98%85)](https://github.com/chroma-core/chroma) | Chroma Core | Lightweight, developer-friendly open-source vector store. | Fast python setup, ideal for notebooks and rapid prototyping. |\n| 🟢 **[Deep Lake](https://github.com/activeloopai/deeplake)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/activeloopai/deeplake?style=flat-square\u0026label=%E2%98%85)](https://github.com/activeloopai/deeplake) | activeloopai | AI Data Runtime for Agents, serverless postgres, and multimodal datalake. | Multimodal storage, RAG integration, vector query and training runtime. |\n| 🟢 **[FAISS](https://github.com/facebookresearch/faiss)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/facebookresearch/faiss?style=flat-square\u0026label=%E2%98%85)](https://github.com/facebookresearch/faiss) | Meta Research | Library for efficient similarity search of dense vectors. | GPU acceleration, fast index algorithms, local run implementation. |\n| 🟢 **[lancedb](https://github.com/lancedb/lancedb)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/lancedb/lancedb?style=flat-square\u0026label=%E2%98%85)](https://github.com/lancedb/lancedb) | lancedb | Developer-friendly OSS embedded retrieval library for multimodal AI. | Automated, open-source |\n| 🟢 **[Milvus](https://github.com/milvus-io/milvus)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/milvus-io/milvus?style=flat-square\u0026label=%E2%98%85)](https://github.com/milvus-io/milvus) | Milvus | High-performance, distributed vector database. | Built for billion-scale datasets, GPU indexing, hybrid search support. |\n| 🟢 **[Qdrant](https://github.com/qdrant/qdrant)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/qdrant/qdrant?style=flat-square\u0026label=%E2%98%85)](https://github.com/qdrant/qdrant) | Qdrant | Rust-based vector similarity search engine. | Fast payload filtering, REST/gRPC interfaces, production scale. |\n\n---\n\n## 🎨 Vibe Coding \u0026 Generative UI Tools\nTools designed to let non-technical users or visual developers generate layouts, notes, and whole apps using AI natural language (\"vibe coding\").\n\n| Tool | Creator | Description | Key Features |\n| :--- | :--- | :--- | :--- |\n| 🟢 **[AFFiNE](https://github.com/toeverything/AFFiNE)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/toeverything/AFFiNE?style=flat-square\u0026label=%E2%98%85)](https://github.com/toeverything/AFFiNE) | toeverything | Workspace tool unifying notes, tasks, and graphics. | AI-native drawing, structured page layout generation. |\n| 🔴 **[AI Website Cloner Template](https://github.com/JCodesMore/ai-website-cloner-template)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/JCodesMore/ai-website-cloner-template?style=flat-square\u0026label=%E2%98%85)](https://github.com/JCodesMore/ai-website-cloner-template) | JCodesMore | Clone any website with one command using AI coding agents. | TypeScript / Website cloning |\n| 🟡 **[Astryx](https://github.com/facebook/astryx)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/facebook/astryx?style=flat-square\u0026label=%E2%98%85)](https://github.com/facebook/astryx) | Facebook | Agent-ready open-source design system. | Fully customizable design system components tailored for LLM visual generation. |\n| 🟢 **[bolt.diy](https://github.com/stackblitz-labs/bolt.diy)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/stackblitz-labs/bolt.diy?style=flat-square\u0026label=%E2%98%85)](https://github.com/stackblitz-labs/bolt.diy) | stackblitz-labs | Prompt, run, edit, and deploy full-stack web applications using any LLM you want! | Automated, open-source |\n| 🟢 **[Chatbot UI](https://github.com/mckaywrigley/chatbot-ui)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/mckaywrigley/chatbot-ui?style=flat-square\u0026label=%E2%98%85)](https://github.com/mckaywrigley/chatbot-ui) | McKay Wrigley | A clean, customizable front-end for LLM APIs. | Custom prompt templates, system instructions, attachment parsing. |\n| 🟡 **[InsForge](https://github.com/InsForge/InsForge)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/InsForge/InsForge?style=flat-square\u0026label=%E2%98%85)](https://github.com/InsForge/InsForge) | InsForge | Backend-as-a-service (BaaS) platform optimized for agentic coding. | PostgreSQL database, auth, storage, edge functions, structured schemas for AI agent usage. |\n| 🟢 **[Meetily](https://github.com/Zackriya-Solutions/meetily)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/Zackriya-Solutions/meetily?style=flat-square\u0026label=%E2%98%85)](https://github.com/Zackriya-Solutions/meetily) | Zackriya Solutions | Privacy-first, local AI meeting assistant with Whisper transcription, speaker diarization, and Ollama summarization. | 100% local processing, Whisper transcription, speaker diarization |\n| 🔴 **[NanoChat](https://github.com/karpathy/nanochat)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/karpathy/nanochat?style=flat-square\u0026label=%E2%98%85)](https://github.com/karpathy/nanochat) | Andrej Karpathy | Minimalist ChatGPT clone. | Simple code, easily extensible, fast API connections. |\n| 🟢 **[Onyx](https://github.com/onyx-dot-app/onyx)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/onyx-dot-app/onyx?style=flat-square\u0026label=%E2%98%85)](https://github.com/onyx-dot-app/onyx) | Onyx App | Open source chat platform designed for multiple LLMs. | Advanced chat options, workspace customization. |\n| 🟢 **[open-webui](https://github.com/open-webui/open-webui)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/open-webui/open-webui?style=flat-square\u0026label=%E2%98%85)](https://github.com/open-webui/open-webui) | open-webui | User-friendly AI Interface (Supports Ollama, OpenAI API, ...). | Automated, open-source |\n| 🟡 **[OpenUI](https://github.com/wandb/openui)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/wandb/openui?style=flat-square\u0026label=%E2%98%85)](https://github.com/wandb/openui) | Weights \u0026 Biases | Generates responsive HTML/CSS layouts visually from description. | Direct Tailwind/React component export, interactive design editor. |\n| 🔴 **[Thunderbolt](https://github.com/thunderbird/thunderbolt)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/thunderbird/thunderbolt?style=flat-square\u0026label=%E2%98%85)](https://github.com/thunderbird/thunderbolt) | Thunderbird | Personal client for running customizable AI models. | Local data control, no vendor lock-in UI. |\n\n---\n\n## 📖 AI Learning \u0026 Educational Resources\nStructured courses, notebooks, and reference materials designed to teach developers how to design neural networks and build AI agents from scratch.\n\n| Resource | Creator | Description | Key Features |\n| :--- | :--- | :--- | :--- |\n| 🟢 **[500-AI-Agents-Projects](https://github.com/ashishpatel26/500-AI-Agents-Projects)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/ashishpatel26/500-AI-Agents-Projects?style=flat-square\u0026label=%E2%98%85)](https://github.com/ashishpatel26/500-AI-Agents-Projects) | ashishpatel26 | The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. | Automated, open-source |\n| 🟢 **[AI Agents for Beginners](https://github.com/microsoft/ai-agents-for-beginners)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/microsoft/ai-agents-for-beginners?style=flat-square\u0026label=%E2%98%85)](https://github.com/microsoft/ai-agents-for-beginners) | Microsoft | 12-lesson roadmap for learning to build AI agents. | Structured lectures, notebook labs, tool-calling and planning basics. |\n| 🟢 **[Awesome AI Coding Tools](https://github.com/ai-for-developers/awesome-ai-coding-tools)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/ai-for-developers/awesome-ai-coding-tools?style=flat-square\u0026label=%E2%98%85)](https://github.com/ai-for-developers/awesome-ai-coding-tools) | AI-for-Developers | Curated index of AI-powered developer utilities. | Comprehensive list of developer extensions, IDEs, and tools. |\n| 🟡 **[awesome-ai-agents-2026](https://github.com/caramaschiHG/awesome-ai-agents-2026)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/caramaschiHG/awesome-ai-agents-2026?style=flat-square\u0026label=%E2%98%85)](https://github.com/caramaschiHG/awesome-ai-agents-2026) | caramaschiHG | 🤖 The most comprehensive list of AI agents, frameworks \u0026 tools in 2026. | Automated, open-source |\n| 🟢 **[awesome-design-md](https://github.com/VoltAgent/awesome-design-md)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/VoltAgent/awesome-design-md?style=flat-square\u0026label=%E2%98%85)](https://github.com/VoltAgent/awesome-design-md) | VoltAgent | A collection of DESIGN.md files analysis by popular brand design systems. | Automated, open-source |\n| 🟢 **[awesome-llm-apps](https://github.com/Shubhamsaboo/awesome-llm-apps)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/Shubhamsaboo/awesome-llm-apps?style=flat-square\u0026label=%E2%98%85)](https://github.com/Shubhamsaboo/awesome-llm-apps) | Shubhamsaboo | 100+ AI Agent \u0026 RAG apps you can actually run — clone, customize, ship. | Automated, open-source |\n| 🟡 **[awesome-llm-tools](https://github.com/sam-blackfly/awesome-llm-tools)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/sam-blackfly/awesome-llm-tools?style=flat-square\u0026label=%E2%98%85)](https://github.com/sam-blackfly/awesome-llm-tools) | sam-blackfly | A curated directory of essential LLM tools. | Automated, open-source |\n| 🟡 **[Claude Code Best Practice](https://github.com/shanraisshan/claude-code-best-practice)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/shanraisshan/claude-code-best-practice?style=flat-square\u0026label=%E2%98%85)](https://github.com/shanraisshan/claude-code-best-practice) | shanraisshan | Guidelines and tips for transition from vibe coding to agentic engineering with Claude Code. | Structured best practices, prompt optimization, workflow patterns. |\n| 🟡 **[Learn Claude Code](https://github.com/shareAI-lab/learn-claude-code)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/shareAI-lab/learn-claude-code?style=flat-square\u0026label=%E2%98%85)](https://github.com/shareAI-lab/learn-claude-code) | shareAI-lab | Educational nano-agent tutorial showing how to build a Claude Code-like harness from scratch. | Code walkthroughs, lightweight bash-to-LLM bindings, agentic tutorials. |\n| 🟡 **[Modded NanoGPT](https://github.com/KellerJordan/modded-nanogpt)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/KellerJordan/modded-nanogpt?style=flat-square\u0026label=%E2%98%85)](https://github.com/KellerJordan/modded-nanogpt) | Keller Jordan | Extremely fast, modified NanoGPT training repo. | Achieves 124M parameter training in 90 seconds, showcases optimization. |\n| 🟢 **[Neural Networks: Zero to Hero](https://github.com/karpathy/nn-zero-to-hero)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/karpathy/nn-zero-to-hero?style=flat-square\u0026label=%E2%98%85)](https://github.com/karpathy/nn-zero-to-hero) | Andrej Karpathy | Detailed guide to building neural networks from scratch. | From basic backpropagation to GPT, PyTorch labs, video lecture companion. |\n| 🟢 **[Prompt Engineering Guide](https://github.com/dair-ai/Prompt-Engineering-Guide)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/dair-ai/Prompt-Engineering-Guide?style=flat-square\u0026label=%E2%98%85)](https://github.com/dair-ai/Prompt-Engineering-Guide) | DAIR.AI | Curated guides, papers, notebooks, and learning paths for prompt/context engineering and AI agents. | Structured papers index, learning materials, system prompt models. |\n| 🟡 **[System Prompts Leaks](https://github.com/asgeirtj/system_prompts_leaks)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/asgeirtj/system_prompts_leaks?style=flat-square\u0026label=%E2%98%85)](https://github.com/asgeirtj/system_prompts_leaks) | asgeirtj | Repository of extracted system prompts. | Provides prompt structures for frontier models, coding assistants, and agents. |\n| 🟢 **[Unsloth](https://github.com/unslothai/unsloth)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/unslothai/unsloth?style=flat-square\u0026label=%E2%98%85)](https://github.com/unslothai/unsloth) | Unsloth AI | Web UI and training environment for fine-tuning open weights models. | 2x-5x faster model training, lightweight local setup (Gemma, Qwen, DeepSeek). |\n\n---\n\n## 📊 Quick Comparison Matrix\n\n| Tool | Category | Licensing | Primary Language / Stack | Best Suited For... |\n| :--- | :--- | :--- | :--- | :--- |\n| **[Agent Toolkit for AWS](https://github.com/aws/agent-toolkit-for-aws)** | MCP Server | Apache-2.0 | Python | Exposing AWS services securely to coding agents via MCP |\n| **[AI Job Search](https://github.com/MadsLorentzen/ai-job-search)** | CLI Tool | MIT | TypeScript | Automating job application matching, CV tailoring, and interview prep |\n| **Antigravity CLI** | CLI Agent | Proprietary | Python / CLI | Sandboxed multi-agent and browser-based test loops |\n| **Claude Code** | CLI Agent | Proprietary | TypeScript / Node.js | Multi-file codebase adjustments using Claude |\n| **CodeGate** | Security Proxy | Apache-2.0 | Go / Rust | Masking secrets and PII from outgoing LLM traffic |\n| **[CrewAI](https://github.com/crewAIInc/crewAI)** | Agent Framework | MIT | Python | Role-based agent teams mimicking human software processes |\n| **[Cursor](https://www.cursor.com/)** | Native IDE | Proprietary | VS Code Fork | The most polished, complete AI-native coding environment |\n| **[DeepSeek-Reasonix](https://github.com/esengine/DeepSeek-Reasonix)** | CLI Agent | MIT | Go / TUI | High prefix-cache utilization and low-cost DeepSeek terminal pair programming |\n| **Gemini CLI** | CLI Agent | MIT | TypeScript / Node.js | Fast, tool-equipped CLI coding using Google Gemini models |\n| **Goose** | CLI Agent | Apache-2.0 | Rust / Python | Executing task checklists with MCP plugins |\n| **gstack** | Custom Skill Pack | MIT | TypeScript | Opinionated agent roles (CEO, Designer, Doc Engineer) for Claude Code |\n| **[LangGraph](https://github.com/langchain-ai/langgraph)** | Agent Framework | MIT | Python / JS | Custom stateful multi-agent workflows and graph logic |\n| **[MiMo Code](https://github.com/XiaomiMiMo/MiMo-Code)** | CLI Agent | MIT | Python / CLI | Long-running developer sessions with persistent memory support |\n| **[Ollama](https://github.com/ollama/ollama)** | Serving Engine | MIT | Go / C++ | Running and exposing open-weights models locally |\n| **OpenHands** | CLI Agent / Web | Apache-2.0 | Python / Docker | Isolated container-level SWE benchmarks and repairs |\n| **[Terax AI](https://github.com/crynta/terax-ai)** | Native IDE | Apache-2.0 | TypeScript | High-speed, lightweight terminal-native AI-assisted development |\n\n---\n\n## 🤝 Contributing\n\nWe welcome contributions! If you would like to add a new tool, extension, proxy, plugin, or CLI agent:\n\n1. Fork this repository.\n2. Add the tool to the appropriate table in alphabetical order.\n3. Submit a Pull Request with a clear description of the tool.\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/youxufkhan%2Fawesome-ai-coding/projects"}