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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## 📂 Table of Contents\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| 🟢 **[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| 🟡 **[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| 🔴 **[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| 🟡 **[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| 🟡 **[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| 🟢 **[GPT-Engineer](https://github.com/gpt-engineer-org/gpt-engineer)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/gpt-engineer-org/gpt-engineer?style=flat-square\u0026label=%E2%98%85)](https://github.com/gpt-engineer-org/gpt-engineer) | GPT-Engineer Org | Full codebase generator from prompts. | Generates complete frameworks, interactive query staging. |\n| 🟢 **[Mentat](https://github.com/ggarrett8/mentat)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/ggarrett8/mentat?style=flat-square\u0026label=%E2%98%85)](https://github.com/ggarrett8/mentat) | Mentat | Context-aware codebase editor. | Customized file indexing, fast command loop, interactive diff views. |\n| 🔴 **[Oh My Codex (OmX)](https://github.com/Yeachan-Heo/oh-my-codex)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/Yeachan-Heo/oh-my-codex?style=flat-square\u0026label=%E2%98%85)](https://github.com/Yeachan-Heo/oh-my-codex) | Yeachan Heo | Orchestration hooks and head-up display tools for local coders. | Multi-agent configurations, diagnostic heads, scriptable workflow bindings. |\n| 🔴 **[oh-my-openagent](https://github.com/code-yeongyu/oh-my-openagent)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/code-yeongyu/oh-my-openagent?style=flat-square\u0026label=%E2%98%85)](https://github.com/code-yeongyu/oh-my-openagent) | code-yeongyu | A plugin and agent harness for OpenCode that orchestrates multiple models into specialized agents. | CLI coding agent harness, plugin integrations. |\n| 🔴 **[Oh My Pi](https://github.com/can1357/oh-my-pi)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/can1357/oh-my-pi?style=flat-square\u0026label=%E2%98%85)](https://github.com/can1357/oh-my-pi) | can1357 | A terminal-native AI coding agent with advanced tool harness. | Hash-anchored edits, LSP integration, browser automation, subagent delegation. |\n| 🟡 **[Open Agent (AFK-surf)](https://github.com/AFK-surf/open-agent)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/AFK-surf/open-agent?style=flat-square\u0026label=%E2%98%85)](https://github.com/AFK-surf/open-agent) | AFK-surf | Open-source alternative to proprietary agents like the Claude Agent SDK or ChatGPT Agents, emphasizing multi-agent collaboration. | TypeScript-based, multi-agent collaboration, computer/browser/telephone operations. |\n| 🟡 **[OpenAgent](https://github.com/the-open-agent/openagent)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/the-open-agent/openagent?style=flat-square\u0026label=%E2%98%85)](https://github.com/the-open-agent/openagent) | the-open-agent | Next-generation personal AI assistant with agent loops, RAG, and computer/browser control for coding tasks. | LLM-powered computer/browser control, RAG, custom agent loops. |\n| 🟡 **[OpenAgentsControl](https://github.com/darrenhinde/OpenAgentsControl)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/darrenhinde/OpenAgentsControl?style=flat-square\u0026label=%E2%98%85)](https://github.com/darrenhinde/OpenAgentsControl) | Darren Hinde | Plan-first developer agent framework with code review, testing, and approval-based execution. | Multi-language support (TypeScript, Python, Go), review-driven approvals. |\n| 🔴 **[OpenAI Codex CLI](https://github.com/openai/openai-cookbook)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/openai/openai-cookbook?style=flat-square\u0026label=%E2%98%85)](https://github.com/openai/openai-cookbook) | OpenAI | Basic terminal execution wrappers for Codex/GPT-4. | Script writing, direct terminal-based shell translations. |\n| 🟡 **[Open Claude Code Decompile](https://github.com/ruvnet/open-claude-code)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/ruvnet/open-claude-code?style=flat-square\u0026label=%E2%98%85)](https://github.com/ruvnet/open-claude-code) | ruvnet | Reverse-engineered and rebuilt nightly Claude Code CLI helper. | Custom hooks, custom execution routing, diagnostic extensions. |\n| 🟡 **[OpenClaw](https://github.com/openclaw/openclaw)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/openclaw/openclaw?style=flat-square\u0026label=%E2%98%85)](https://github.com/openclaw/openclaw) | OpenClaw | Personal AI assistant running on any platform. | Agentic task orchestration, cross-platform local execution, visual tools. |\n| 🔴 **[OpenClaude](https://github.com/Gitlawb/openclaude)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/Gitlawb/openclaude?style=flat-square\u0026label=%E2%98%85)](https://github.com/Gitlawb/openclaude) | Gitlawb | Adaptable terminal assistant designed to run on any model provider. | Flexible tool bindings, de-coupled backend, command automation. |\n| 🟡 **[OpenCode](https://github.com/anomalyco/opencode)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/anomalyco/opencode?style=flat-square\u0026label=%E2%98%85)](https://github.com/anomalyco/opencode) | Anomaly | Model-agnostic terminal developer agent. | Go-based TUI, 75+ LLM providers supported, LSP diagnostics, version control snapshots. |\n| 🟢 **[OpenHands (formerly OpenDevin)](https://github.com/All-Hands-AI/OpenHands)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/All-Hands-AI/OpenHands?style=flat-square\u0026label=%E2%98%85)](https://github.com/All-Hands-AI/OpenHands) | All-Hands AI | Docker-sandboxed autonomous coding agent. | Runs shell commands, browses the web, reads/writes code inside isolated containers. |\n| 🔴 **[OpenSWE](https://github.com/langchain-ai/open-swe)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/langchain-ai/open-swe?style=flat-square\u0026label=%E2%98%85)](https://github.com/langchain-ai/open-swe) | LangChain AI | Open-source asynchronous coding agent framework. | Stateful planning loops, async task execution, customizable LLM backend routes. |\n| 🟡 **[Pi Agent](https://github.com/earendil-works/pi)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/earendil-works/pi?style=flat-square\u0026label=%E2%98%85)](https://github.com/earendil-works/pi) | Earendil Works | A terminal-first AI agent toolkit and harness. | Unified LLM API, agent loop, interactive TUI, session persistence, modular tool architecture. |\n| 🟢 **[Plandex](https://github.com/plandex-ai/plandex)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/plandex-ai/plandex?style=flat-square\u0026label=%E2%98%85)](https://github.com/plandex-ai/plandex) | Plandex AI | Large-task codebase editor. | Sandboxed file staging, handles massive refactoring pipelines. |\n| 🟢 **[PR Agent](https://github.com/The-PR-Agent/pr-agent)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/The-PR-Agent/pr-agent?style=flat-square\u0026label=%E2%98%85)](https://github.com/The-PR-Agent/pr-agent) | Qodo / CodiumAI | Autonomous PR reviewer and description generator. | Git provider integrations (GitHub, GitLab, Bitbucket), auto-docs, code suggestions. |\n| 🟡 **[Rowboat](https://github.com/rowboatlabs/rowboat)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/rowboatlabs/rowboat?style=flat-square\u0026label=%E2%98%85)](https://github.com/rowboatlabs/rowboat) | Rowboat Labs | Local-first AI coworker that builds a persistent, structured knowledge graph from files and notes. | Markdown context storage with backlinks, situational awareness for agent workflows. |\n| 🟢 **[SWE-agent](https://github.com/princeton-nlp/SWE-agent)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/princeton-nlp/SWE-agent?style=flat-square\u0026label=%E2%98%85)](https://github.com/princeton-nlp/SWE-agent) | Princeton NLP | Agent-Computer Interface (ACI) coder framework. | Top SWE-bench performer, optimized file editing and search tools for LLMs. |\n| 🟢 **[Sweep](https://github.com/sweepai/sweep)** \u003cbr\u003e [![Stars](https://img.shields.io/github/stars/sweepai/sweep?style=flat-square\u0026label=%E2%98%85)](https://github.com/sweepai/sweep) | Sweep AI | GitHub issue solver bot. | Automatic PR creation, lint fixing, and CI/CD validation. |\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| 🟢 **[PearAI](https://trypear.ai/)** | PearAI | Fully open-source VS Code fork. | Custom assistant panel, inline refactoring, privacy controls. |\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| 🟢 **[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| 🟢 **[GitHub Copilot](https://github.com/features/copilot)** | VS Code, JetBrains, Visual Studio, Neovim | GitHub | Fast autocomplete, chat panels, codebase indexing, PR description generator. |\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| 🟢 **[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| 🟢 **[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| 🟢 **[Cody](https://sourcegraph.com/cody)** | VS Code, JetBrains, Neovim | Sourcegraph | Advanced semantic codebase search, code explanation, chat-with-docs. |\n| 🟢 **[Amazon Q Developer](https://aws.amazon.com/q/developer/)** | VS Code, JetBrains | AWS | Autocomplete, security scans, legacy code translation, AWS cloud integrations. |\n| 🟢 **[Supermaven](https://supermaven.com/)** | VS Code, JetBrains, Neovim | Supermaven | Ultra-low latency autocomplete, large 300,000 token context window. |\n| 🟢 **[Codeium](https://codeium.com/)** | VS Code, JetBrains, Xcode, Neovim | Codeium | Free autocomplete, chat, semantic search, local index building. |\n| 🟢 **[Double.bot](https://www.double.bot/)** | VS Code, JetBrains | Double | High-accuracy inline editing, codebase context parsing. |\n| 🟢 **[Tabnine](https://www.tabnine.com/)** | VS Code, JetBrains, Eclipse | Tabnine | Secure autocomplete with local offline models or private cloud deployments. |\n| 🟢 **[Bito](https://bito.ai/)** | VS Code, JetBrains | Bito | AI helper for unit test generation, security checking, and explaining code. |\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| 🟢 **[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| 🔴 **[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| 🟡 **[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| 🟡 **[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| 🟡 **[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| 🟡 **[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| 🔴 **[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| 🟡 **[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| 🟢 **[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| 🟢 **[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| 🟢 **[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| 🔴 **[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| 🔴 **[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| 🟢 **[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| 🟡 **[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| 🔴 **[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| 🔴 **[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| 🟢 **[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| 🟢 **[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| 🟡 **[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| 🔴 **[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| 🟢 **[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\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| 🟡 **[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| 🟢 **[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| 🟢 **[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| 🟢 **[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| 🟢 **[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| 🔴 **[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| 🟡 **[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| 🟢 **[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| 🟡 **[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| 🟢 **[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| **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** | Agent Framework | MIT | Python | Role-based agent teams mimicking human software processes |\n| **Cursor** | Native IDE | Proprietary | VS Code Fork | The most polished, complete AI-native coding environment |\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** | Agent Framework | MIT | Python / JS | Custom stateful multi-agent workflows and graph logic |\n| **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\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","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyouxufkhan%2Fawesome-ai-coding","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyouxufkhan%2Fawesome-ai-coding","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyouxufkhan%2Fawesome-ai-coding/lists"}