Octocode MCP

# Model Context Protocol & TypeScript AI Resources > Model Context Protocol (MCP), TypeScript AI SDKs, and RAG systems for Node.js/TypeScript ** Purpose:** MCP/AI resources for building MCP servers and TypeScript AI applications **🌐 Focus:** MCP SDK, Vercel AI SDK, LangChainJS - Pure TypeScript AI **⚙️ Runtime:** 100% Node.js/TypeScript - MCP servers, AI agents, RAG systems **📅 Updated:** October 13, 2025 --- ## Quick Reference ### Model Context Protocol (Start Here) - **Official SDK:** `modelcontextprotocol/typescript-sdk` - Official TypeScript SDK for MCP - **Official Examples:** `modelcontextprotocol/servers` - Reference MCP server implementations - **Official Curriculum:** `microsoft/mcp-for-beginners` (12K+ ⭐) - Learn MCP fundamentals - **Best Framework:** `punkpeye/fastmcp` (2.6K+ ⭐) - Fast, elegant TypeScript MCP framework - **AI Native IDE:** `opensumi/core` (3.5K+ ⭐) - MCP Client for building AI-native IDEs - **Official CLI:** `modelcontextprotocol/create-typescript-server` - Bootstrap MCP projects ### Essential MCP Servers - **Design to Code:** `GLips/Figma-Context-MCP` (11K+ ⭐) - Figma layout info for AI agents - **UI Components:** `Jpisnice/shadcn-ui-mcp-server` (2.4K+ ⭐) - shadcn UI context - **Documentation:** `cyberagiinc/DevDocs` (1.9K+ ⭐) - Free, private tech docs MCP - **Repository Packing:** `yamadashy/repomix` (20K+ ⭐) - Pack repo into AI-friendly file ### TypeScript AI Frameworks - **Best AI SDK:** `vercel/ai` (18K+ ⭐) - THE TypeScript AI toolkit - **Agent Integrations:** `ComposioHQ/composio` (26K+ ⭐) - 100+ integrations for agents - **With Observability:** `VoltAgent/voltagent` (3.6K+ ⭐) - Built-in LLM observability - **Multi-Agent:** `awslabs/agent-squad` (7K+ ⭐) - AWS-backed framework ### LangChain & LangGraph - **Main Framework:** `langchain-ai/langchain` (117K+ ⭐) - Context-aware reasoning apps - **TypeScript LangGraph:** `langchain-ai/langgraphjs` (2.2K+ ⭐) - Graph-based agents - **LangChain + MCP:** Use adapters in main monorepo - Connect LangChain with MCP ### RAG Systems - **Enterprise RAG:** `infiniflow/ragflow` (66K+ ⭐) - Leading RAG engine - **Live Data Sync:** `pathwaycom/llm-app` (44K+ ⭐) - RAG with Sharepoint/Drive sync - **Production Ready:** `QuivrHQ/quivr` (39K+ ⭐) - Opiniated RAG for apps - **Browser-Based:** `oramasearch/orama` (10K+ ⭐) - Search & RAG in <2KB ### Vector Databases - **Code Search:** `zilliztech/claude-context` (4K+ ⭐) - Make codebase context for Claude - **Official Client:** `pinecone-io/pinecone-ts-client` - Pinecone TypeScript client - **Browser Storage:** `oramasearch/orama` (10K+ ⭐) - Vector search in browser ### Claude/Anthropic Ecosystem - **Full-Featured Chat:** `danny-avila/LibreChat` (31K+ ⭐) - Multi-model chat with agents - **Claude Code GUI:** `winfunc/opcode` (18K+ ⭐) - GUI for Claude Code - **Multi-Agent:** `wshobson/agents` (18K+ ⭐) - Orchestration for Claude Code - **Resources:** `hesreallyhim/awesome-claude-code` (15K+ ⭐) - Curated Claude Code list ### Workflow & Orchestration - **Best Overall:** `n8n-io/n8n` (148K+ ⭐) - Visual workflow automation with native AI - **Build & Deploy:** `simstudioai/sim` (17K+ ⭐) - Open-source agent workflows - **Visual Development:** `coze-dev/coze-studio` (18K+ ⭐) - All-in-one agent platform - **Managed Platform:** `triggerdotdev/trigger.dev` (13K+ ⭐) - Fully-managed AI workflows ### Observability & Monitoring - **Essential Platform:** `langfuse/langfuse` (17K+ ⭐) - Open-source LLM engineering - **ML Lifecycle:** `mlflow/mlflow` (22K+ ⭐) - End-to-end tracking & governance - **AI Observability:** `Arize-ai/phoenix` (7K+ ⭐) - AI observability & evaluation --- ## Table of Contents - [Model Context Protocol (MCP)](#model-context-protocol-mcp) - [MCP Frameworks & Tools](#mcp-frameworks--tools) - [MCP Servers](#mcp-servers) - [TypeScript AI Agent Frameworks](#typescript-ai-agent-frameworks) - [Vercel AI SDK Ecosystem](#vercel-ai-sdk-ecosystem) - [LangChain & LangGraph (TypeScript)](#langchain--langgraph-typescript) - [RAG Systems](#rag-systems) - [Vector Databases](#vector-databases) - [Claude/Anthropic Ecosystem](#claudeanthropic-ecosystem) - [Agent Orchestration & Deployment](#agent-orchestration--deployment) - [AI Development Platforms](#ai-development-platforms) - [LLM Observability & Monitoring](#llm-observability--monitoring) --- ## Model Context Protocol (MCP) ### Official & Core MCP Resources **⭐ modelcontextprotocol/typescript-sdk** ⚡ ESSENTIAL - Official TypeScript SDK for Model Context Protocol - Build MCP clients and servers with type safety - 🔗 https://github.com/modelcontextprotocol/typescript-sdk - **Use Case:** Official SDK for building MCP applications in TypeScript **⭐ modelcontextprotocol/servers** ⚡ ESSENTIAL - Official collection of reference MCP server implementations - Examples and templates for building MCP servers - 🔗 https://github.com/modelcontextprotocol/servers - **Use Case:** Official MCP server examples and reference implementations **⭐ microsoft/mcp-for-beginners** (11,732 stars) ⚡ ESSENTIAL - Official open-source curriculum for Model Context Protocol fundamentals - Real-world, cross-language examples in .NET, Java, TypeScript - 🔗 https://github.com/microsoft/mcp-for-beginners - **Use Case:** Learn MCP from Microsoft's official curriculum **⭐ opensumi/core** (3,518 stars) ⚡ HIGHLY RECOMMENDED - Framework for building AI Native IDE products - MCP Client with full Model Context Protocol support - 🔗 https://github.com/opensumi/core - **Use Case:** Build AI-native IDEs with MCP support --- ## MCP Frameworks & Tools ### TypeScript MCP Frameworks **⭐ punkpeye/fastmcp** (2,625 stars) ⚡ HIGHLY RECOMMENDED - TypeScript framework for building MCP servers - Fast, elegant, and developer-friendly - 🔗 https://github.com/punkpeye/fastmcp - **Use Case:** Build production MCP servers in TypeScript **⭐ QuantGeekDev/mcp-framework** (862 stars) - Comprehensive framework for writing MCP servers in TypeScript - Full-featured with extensive tooling - 🔗 https://github.com/QuantGeekDev/mcp-framework - **Use Case:** Enterprise-grade MCP server development **⭐ wong2/litemcp** (179 stars) - Elegant TypeScript framework for building MCP servers - Lightweight and minimalist approach - 🔗 https://github.com/wong2/litemcp - **Use Case:** Simple, elegant MCP implementations **⭐ zcaceres/easy-mcp** (187 stars) - Absurdly easy Model Context Protocol Servers in TypeScript - Minimal boilerplate, maximum productivity - 🔗 https://github.com/zcaceres/easy-mcp - **Use Case:** Rapid MCP server prototyping **⭐ punkpeye/mcp-proxy** (197 stars) - TypeScript SSE proxy for MCP servers using stdio transport - Bridge between different MCP transport layers - 🔗 https://github.com/punkpeye/mcp-proxy - **Use Case:** Proxy MCP servers with different transports ### MCP Development Tools **⭐ modelcontextprotocol/create-typescript-server** (164 stars) - Official CLI tool to create new TypeScript MCP servers - Scaffolding and best practices built-in - 🔗 https://github.com/modelcontextprotocol/create-typescript-server - **Use Case:** Bootstrap MCP server projects **⭐ cyanheads/mcp-ts-template** (77 stars) - Production-grade TypeScript template for MCP servers - Declarative tools/resources, robust error handling, DI - 🔗 https://github.com/cyanheads/mcp-ts-template - **Use Case:** Production-ready MCP template **⭐ boguan/create-mcp-app** (56 stars) - CLI tool for quickly scaffolding MCP server applications - TypeScript support and modern development tooling - 🔗 https://github.com/boguan/create-mcp-app - **Use Case:** Rapid MCP app creation **⭐ aashari/boilerplate-mcp-server** (58 stars) - TypeScript MCP server boilerplate with IP lookup tools - CLI support and extensible structure - 🔗 https://github.com/aashari/boilerplate-mcp-server - **Use Case:** MCP server boilerplate with examples ### MCP Integration Libraries **⭐ langchain-ai/langchainjs-mcp-adapters** (242 stars) - Adapters for integrating Model Context Protocol with LangChain - Seamless LangChain + MCP integration - 🔗 https://github.com/langchain-ai/langchainjs-mcp-adapters - **Note:** Repo moved to main LangChain monorepo - **Use Case:** Connect LangChain with MCP servers **⭐ mcp-use/mcp-use-ts** (146 stars) - TypeScript library for connecting LangChain.js LLMs with MCP servers - Build flexible AI agents with MCP tools - 🔗 https://github.com/mcp-use/mcp-use-ts - **Use Case:** LangChain + MCP integration **⭐ inngest/agent-kit** (641 stars) - Build multi-agent networks in TypeScript with MCP - Deterministic routing and rich tooling via MCP - 🔗 https://github.com/inngest/agent-kit - **Use Case:** Multi-agent systems with MCP tools **⭐ Kong/volcano-sdk** (90 stars) - Build AI agents combining LLM reasoning with MCP tools - Just a few lines of TypeScript - 🔗 https://github.com/Kong/volcano-sdk - **Use Case:** Simple AI agents with MCP actions ### MCP Observability & Management **⭐ hyprmcp/jetski** (155 stars) - Authentication, analytics, and prompt visibility for MCP servers - Zero code changes required - OAuth2.1, DCR, real-time logs, client onboarding - 🔗 https://github.com/hyprmcp/jetski - **Use Case:** Production MCP server management **⭐ shinzo-labs/shinzo-ts** (53 stars) - First complete observability solution for MCP servers - MCP analytics and telemetry, built on OpenTelemetry - 🔗 https://github.com/shinzo-labs/shinzo-ts - **Use Case:** Monitor and observe MCP servers **⭐ comet-ml/opik-mcp** (170 stars) - MCP implementation for Opik enabling IDE integration - Unified access to prompts, projects, traces, and metrics - 🔗 https://github.com/comet-ml/opik-mcp - **Use Case:** Opik integration via MCP --- ## MCP Servers ### Development & IDE Integration **⭐ GLips/Figma-Context-MCP** (11,171 stars) ⚡ ESSENTIAL - MCP server providing Figma layout information to AI coding agents - Perfect for Cursor and other coding assistants - 🔗 https://github.com/GLips/Figma-Context-MCP - **Use Case:** Design-to-code with AI agents **⭐ Jpisnice/shadcn-ui-mcp-server** (2,358 stars) ⚡ HIGHLY RECOMMENDED - MCP server for shadcn UI component context - Structure, usage, and installation for React, Svelte 5, and Vue - 🔗 https://github.com/Jpisnice/shadcn-ui-mcp-server - **Use Case:** AI assistance with shadcn UI components **⭐ cyberagiinc/DevDocs** (1,928 stars) - Completely free, private, UI-based tech documentation MCP server - Designed for coders and developers - Easy integration with Cursor, Windsurf - 🔗 https://github.com/cyberagiinc/DevDocs - **Use Case:** Offline technical documentation for AI **⭐ CoplayDev/unity-mcp** (3,449 stars) - MCP server allowing clients like Claude Desktop/Cursor to control Unity - Perform actions in Unity Editor through MCP - 🔗 https://github.com/CoplayDev/unity-mcp - **Use Case:** AI-driven Unity development **⭐ isuzu-shiranui/UnityMCP** (113 stars) - Unity Editor integration with Model Context Protocol - TypeScript MCP server for Unity projects - 🔗 https://github.com/isuzu-shiranui/UnityMCP - **Use Case:** Unity + MCP integration **⭐ Dakkshin/after-effects-mcp** (124 stars) - MCP Server for Adobe After Effects - Remote control via Model Context Protocol using ExtendScript - 🔗 https://github.com/Dakkshin/after-effects-mcp - **Use Case:** AI control of After Effects **⭐ bigcodegen/mcp-neovim-server** (243 stars) - Control Neovim using MCP and official neovim/node-client - 🔗 https://github.com/bigcodegen/mcp-neovim-server - **Use Case:** AI-driven Neovim automation ### Knowledge & Documentation **⭐ cyanheads/obsidian-mcp-server** (230 stars) - Obsidian Knowledge-Management MCP server - AI agents interact with Obsidian vault - 🔗 https://github.com/cyanheads/obsidian-mcp-server - **Use Case:** AI access to personal knowledge base **⭐ shaneholloman/mcp-knowledge-graph** (689 stars) - MCP server enabling persistent memory for Claude - Local knowledge graph for AI memory - 🔗 https://github.com/shaneholloman/mcp-knowledge-graph - **Use Case:** Long-term memory for AI agents **⭐ casibase/casibase** (4,120 stars) - AI Cloud OS: Enterprise-level AI knowledge base - MCP (model-context-protocol) and A2A (agent-to-agent) management - Admin UI and multi-language support - 🔗 https://github.com/casibase/casibase - **Use Case:** Enterprise AI knowledge management ### AI & LLM Integration **⭐ jamubc/gemini-mcp-tool** (1,460 stars) - MCP server enabling AI assistants to interact with Google Gemini CLI - Leverage Gemini's massive token window for large file analysis - 🔗 https://github.com/jamubc/gemini-mcp-tool - **Use Case:** Gemini integration for AI assistants **⭐ u14app/deep-research** (4,139 stars) - Use any LLMs for Deep Research - Support SSE API and MCP server - 🔗 https://github.com/u14app/deep-research - **Use Case:** Deep research with any LLM via MCP **⭐ disler/just-prompt** (656 stars) - MCP server providing unified interface to top LLM providers - OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama - 🔗 https://github.com/disler/just-prompt - **Use Case:** Universal LLM access via MCP **⭐ zilliztech/claude-context** (4,060 stars) - Code search MCP for Claude Code - Make entire codebase the context for coding agents - 🔗 https://github.com/zilliztech/claude-context - **Use Case:** Full codebase context for Claude ### Data & Database Access **⭐ bytebase/dbhub** (1,402 stars) - Universal database MCP server - Connect to MySQL, PostgreSQL, SQL Server, MariaDB - 🔗 https://github.com/bytebase/dbhub - **Use Case:** Database access for AI agents **⭐ clidey/whodb** (4,106 stars) - Lightweight next-gen data explorer with Chat interface - Postgres, MySQL, SQLite, MongoDB, Redis, MariaDB, Elastic, Clickhouse - 🔗 https://github.com/clidey/whodb - **Use Case:** Universal database explorer with AI chat ### File & Content Processing **⭐ zcaceres/markdownify-mcp** (2,184 stars) - Model Context Protocol server for converting anything to Markdown - 🔗 https://github.com/zcaceres/markdownify-mcp - **Use Case:** Universal Markdown conversion via MCP **⭐ sylphxltd/pdf-reader-mcp** (269 stars) - MCP server for reading PDF files (local or URL) - Extract text, metadata, or page counts - 🔗 https://github.com/sylphxltd/pdf-reader-mcp - **Use Case:** PDF processing for AI agents **⭐ yamadashy/repomix** (19,654 stars) ⚡ HIGHLY RECOMMENDED - Pack entire repository into single AI-friendly file - Perfect for feeding codebases to LLMs - 🔗 https://github.com/yamadashy/repomix - **Use Case:** Repository packaging for AI analysis ### Web & Research **⭐ mzxrai/mcp-webresearch** (282 stars) - MCP web research server - Give Claude real-time info from the web - 🔗 https://github.com/mzxrai/mcp-webresearch - **Use Case:** Web research for AI agents **⭐ mixelpixx/Google-Search-MCP-Server** (147 stars) - MCP Server for VS Code / Cline / Anthropic - Enable Google search, follow links, research websites - 🔗 https://github.com/mixelpixx/Google-Search-MCP-Server - **Use Case:** Google search integration for AI ### Workflow & Integration **⭐ makafeli/n8n-workflow-builder** (383 stars) - AI assistant integration for n8n workflow automation through MCP - Connect Claude Desktop, ChatGPT, and other AI assistants - 🔗 https://github.com/makafeli/n8n-workflow-builder - **Use Case:** n8n workflow automation via MCP **⭐ stickerdaniel/linkedin-mcp-server** (466 stars) - MCP server allowing Claude to access LinkedIn - Scrape profiles/companies, get recommended jobs - 🔗 https://github.com/stickerdaniel/linkedin-mcp-server - **Use Case:** LinkedIn data access for AI **⭐ jerhadf/linear-mcp-server** (328 stars) - Integrate Linear's project management with MCP - LLMs interact with Linear - 🔗 https://github.com/jerhadf/linear-mcp-server - **Use Case:** Linear project management via AI **⭐ dryeab/mcp-telegram** (173 stars) - MCP Server for Telegram integration - 🔗 https://github.com/dryeab/mcp-telegram - **Use Case:** Telegram bot via MCP **⭐ aashari/mcp-server-atlassian-bitbucket** (81 stars) - Node.js/TypeScript MCP server for Atlassian Bitbucket - Interact with workspaces, repositories, and pull requests - 🔗 https://github.com/aashari/mcp-server-atlassian-bitbucket - **Use Case:** Bitbucket integration for AI **⭐ delano/postman-mcp-server** (139 stars) - MCP server providing access to Postman - 🔗 https://github.com/delano/postman-mcp-server - **Use Case:** Postman API testing via MCP **⭐ dkmaker/mcp-rest-api** (73 stars) - TypeScript MCP server for testing REST APIs through Cline - Test and interact with any REST API endpoints - 🔗 https://github.com/dkmaker/mcp-rest-api - **Use Case:** REST API testing for AI agents ### Specialized Tools **⭐ yuniko-software/minecraft-mcp-server** (358 stars) - Minecraft MCP Server powered by Mineflayer API - Control Minecraft character, build structures, mine resources - 🔗 https://github.com/yuniko-software/minecraft-mcp-server - **Use Case:** AI-controlled Minecraft bot **⭐ InditexTech/mcp-server-simulator-ios-idb** (266 stars) - MCP server for iOS simulators through natural language - 🔗 https://github.com/InditexTech/mcp-server-simulator-ios-idb - **Use Case:** iOS simulator control via AI **⭐ wshobson/mcp-trader** (249 stars) - Model Context Protocol server for stock traders - 🔗 https://github.com/wshobson/mcp-trader - **Use Case:** Stock trading via MCP **⭐ wshobson/maverick-mcp** (143 stars) - MaverickMCP - Personal Stock Analysis MCP Server - 🔗 https://github.com/wshobson/maverick-mcp - **Use Case:** Personal stock analysis **⭐ rishikavikondala/mcp-server-aws** (127 stars) - MCP server implementation for AWS resources operations - 🔗 https://github.com/rishikavikondala/mcp-server-aws - **Use Case:** AWS management via MCP **⭐ utensils/mcp-nixos** (305 stars) - Model Context Protocol Server for NixOS resources - 🔗 https://github.com/utensils/mcp-nixos - **Use Case:** NixOS configuration via MCP **⭐ strands-agents/mcp-server** (192 stars) - MCP server providing Strands Agents documentation to GenAI tools - Vibe-code Strands agents with AI coding assistants - 🔗 https://github.com/strands-agents/mcp-server - **Use Case:** Strands Agents documentation access ### MCP Collections **⭐ TensorBlock/awesome-mcp-servers** (452 stars) - Comprehensive collection of Model Context Protocol servers - 🔗 https://github.com/TensorBlock/awesome-mcp-servers - **Use Case:** Discover MCP servers --- ## TypeScript AI Agent Frameworks **⭐ ComposioHQ/composio** (25,772 stars) ⚡ HIGHLY RECOMMENDED - Equip AI agents & LLMs with 100+ high-quality integrations - Function calling for agent tool use - 🔗 https://github.com/ComposioHQ/composio - **Use Case:** Agent integration platform **⭐ VoltAgent/voltagent** (3,565 stars) - Open Source TypeScript AI Agent Framework - Built-in LLM Observability - 🔗 https://github.com/VoltAgent/voltagent - **Use Case:** TypeScript agent development with observability **⭐ awslabs/agent-squad** (6,984 stars) - Flexible and powerful framework for managing multiple AI agents - Handle complex conversations - 🔗 https://github.com/awslabs/agent-squad - **Use Case:** AWS-backed multi-agent systems **⭐ e2b-dev/E2B** (9,648 stars) - Open-source, secure environment with real-world tools - Enterprise-grade agents - 🔗 https://github.com/e2b-dev/E2B - **Use Case:** Secure agent execution environment **⭐ AgentDock/AgentDock** (1,520 stars) - Build Anything with AI Agents - 🔗 https://github.com/AgentDock/AgentDock - **Use Case:** General-purpose agent building **⭐ TrafficGuard/typedai** (1,154 stars) - TypeScript AI platform with AI chat, autonomous agents - Software developer agents, chatbots and more - 🔗 https://github.com/TrafficGuard/typedai - **Use Case:** TypeScript AI development platform **⭐ leoning60/browsernode** (1,014 stars) - Make websites accessible for AI agents - Automate tasks online with ease - 🔗 https://github.com/leoning60/browsernode - **Use Case:** Web automation for agents **⭐ rivet-dev/rivetkit** (1,206 stars) - Library for building stateful workloads anywhere - 🔗 https://github.com/rivet-dev/rivetkit - **Use Case:** Stateful agent workloads **⭐ bytechefhq/bytechef** (622 stars) - Open-source, low-code, extendable API integration - Workflow automation platform - 🔗 https://github.com/bytechefhq/bytechef - **Use Case:** Low-code agent workflows **⭐ adaline/gateway** (540 stars) - Only fully local production-grade Super SDK - Simple, unified interface for 200+ LLMs - 🔗 https://github.com/adaline/gateway - **Use Case:** Universal LLM gateway **⭐ inkeep/agents** (242 stars) - Create AI Agents in No-Code Visual Builder or TypeScript SDK - Full 2-way sync - 🔗 https://github.com/inkeep/agents - **Use Case:** Visual + code agent builder **⭐ TM9657/flow-like** (239 stars) - Strongly Typed Enterprise Scale Workflows - Scalability, speed, seamless AI integration - 🔗 https://github.com/TM9657/flow-like - **Use Case:** Enterprise workflow automation **⭐ subeshb1/agenite** (65 stars) - Build powerful AI agents with TypeScript - First-class support for tools, streaming, persistence - 🔗 https://github.com/subeshb1/agenite - **Use Case:** TypeScript agent development **⭐ truffle-ai/dexto** (250 stars) - Orchestration Layer for AI agents - Connect models, tools, and data into smart interface - 🔗 https://github.com/truffle-ai/dexto - **Use Case:** Agent orchestration layer --- ## Vercel AI SDK Ecosystem **⭐ vercel/ai** (18,430 stars) ⚡ ESSENTIAL - The AI Toolkit for TypeScript - Build AI-powered applications and agents - 🔗 https://github.com/vercel/ai - **Use Case:** THE TypeScript AI SDK **⭐ midday-ai/ai-sdk-tools** (1,125 stars) - Essential utilities for production-ready AI applications - State management, debugging, structured streaming, intelligent agents - 🔗 https://github.com/midday-ai/ai-sdk-tools - **Use Case:** Production Vercel AI SDK utilities **⭐ e2b-dev/awesome-ai-sdks** (1,038 stars) - Database of SDKs, frameworks, libraries, and tools - Creating, monitoring, debugging, and deploying autonomous AI agents - 🔗 https://github.com/e2b-dev/awesome-ai-sdks - **Use Case:** AI SDK discovery --- ## LangChain & LangGraph (TypeScript) **⭐ langchain-ai/langchain** (117,131 stars) ⚡ ESSENTIAL - Build context-aware reasoning applications - Official LangChain repository - 🔗 https://github.com/langchain-ai/langchain - **Use Case:** THE LangChain framework **⭐ langchain-ai/langgraphjs** (2,168 stars) ⚡ HIGHLY RECOMMENDED - Official framework to build resilient language agents as graphs - TypeScript/JavaScript implementation - 🔗 https://github.com/langchain-ai/langgraphjs - **Use Case:** LangGraph for TypeScript **⭐ langchain-ai/deepagentsjs** (183 stars) - Deep Agents in JavaScript from LangChain team - 🔗 https://github.com/langchain-ai/deepagentsjs - **Use Case:** Advanced LangChain agents in JS/TS **⭐ Oneirocom/Magick** (820 stars) - Cutting-edge toolkit for a new kind of AI builder - 🔗 https://github.com/Oneirocom/Magick - **Use Case:** Visual AI agent builder **⭐ apconw/sanic-web** (1,286 stars) - Lightweight, full-chain large model application project - LangChain/LangGraph, Ollama & Vllm based - 🔗 https://github.com/apconw/sanic-web - **Use Case:** Full-stack LLM application **⭐ ScrapeGraphAI/scrapecraft** (323 stars) - AI-powered web scraping editor with visual workflow builder - Powered by ScrapeGraphAI & LangGraph - 🔗 https://github.com/ScrapeGraphAI/scrapecraft - **Use Case:** AI web scraping with LangGraph --- ## RAG Systems **⭐ infiniflow/ragflow** (65,860 stars) ⚡ ESSENTIAL - Leading open-source Retrieval-Augmented Generation engine - Fuses RAG with Agent capabilities - 🔗 https://github.com/infiniflow/ragflow - **Use Case:** Enterprise RAG platform **⭐ pathwaycom/llm-app** (43,576 stars) ⚡ HIGHLY RECOMMENDED - Ready-to-run cloud templates for RAG, AI pipelines - Docker-friendly, always in sync with Sharepoint, Google Drive, S3 - 🔗 https://github.com/pathwaycom/llm-app - **Use Case:** RAG with live data sync **⭐ QuivrHQ/quivr** (38,504 stars) ⚡ HIGHLY RECOMMENDED - Opiniated RAG for integrating GenAI in apps - Focus on product rather than RAG complexity - 🔗 https://github.com/QuivrHQ/quivr - **Use Case:** Production-ready RAG integration **⭐ chatchat-space/Langchain-Chatchat** (36,235 stars) - Based on Langchain with ChatGLM, Qwen, Llama - RAG & Agent application - 🔗 https://github.com/chatchat-space/Langchain-Chatchat - **Use Case:** Chinese LLM RAG platform **⭐ deepset-ai/haystack** (22,986 stars) ⚡ HIGHLY RECOMMENDED - AI orchestration framework for customizable, production-ready LLM apps - Connect components (models, vector DBs, file converters) to pipelines - 🔗 https://github.com/deepset-ai/haystack - **Use Case:** Modular RAG framework **⭐ HKUDS/LightRAG** (21,736 stars) - Simple and Fast Retrieval-Augmented Generation - 🔗 https://github.com/HKUDS/LightRAG - **Use Case:** Lightweight RAG implementation **⭐ neuml/txtai** (11,693 stars) - All-in-one open-source AI framework for semantic search - LLM orchestration and language model workflows - 🔗 https://github.com/neuml/txtai - **Use Case:** Semantic search and RAG **⭐ Olow304/memvid** (9,993 stars) - Video-based AI memory library - Store millions of text chunks in MP4 files with semantic search - No database needed! - 🔗 https://github.com/Olow304/memvid - **Use Case:** Novel video-based storage for RAG **⭐ oramasearch/orama** (9,838 stars) - Complete search engine and RAG pipeline in your browser - Full-text, vector, and hybrid search in <2KB - 🔗 https://github.com/oramasearch/orama - **Use Case:** Browser-based RAG **⭐ SciPhi-AI/R2R** (7,363 stars) - SoTA production-ready AI retrieval system - Agentic Retrieval-Augmented Generation with RESTful API - 🔗 https://github.com/SciPhi-AI/R2R - **Use Case:** Production RAG API **⭐ WangRongsheng/awesome-LLM-resources** (6,331 stars) - World's best LLM resources summary - Voice/video generation, Agent, coding, data, training, inference - 🔗 https://github.com/WangRongsheng/awesome-LLM-resources - **Use Case:** Comprehensive LLM resource collection **⭐ Marker-Inc-Korea/AutoRAG** (4,348 stars) - Open-Source Framework for RAG Evaluation & Optimization - AutoML-Style Automation - 🔗 https://github.com/Marker-Inc-Korea/AutoRAG - **Use Case:** Automated RAG optimization **⭐ truefoundry/cognita** (4,262 stars) - RAG Framework for building modular, open source applications - Production-ready by TrueFoundry - 🔗 https://github.com/truefoundry/cognita - **Use Case:** Modular RAG framework **⭐ langroid/langroid** (3,721 stars) - Harness LLMs with Multi-Agent Programming - 🔗 https://github.com/langroid/langroid - **Use Case:** Multi-agent RAG systems **⭐ NVIDIA/GenerativeAIExamples** (3,478 stars) - Generative AI reference workflows - Optimized for accelerated infrastructure and microservices - 🔗 https://github.com/NVIDIA/GenerativeAIExamples - **Use Case:** NVIDIA-optimized GenAI workflows **⭐ bragai/bRAG-langchain** (3,205 stars) - Everything you need to know to build your own RAG application - 🔗 https://github.com/bragai/bRAG-langchain - **Use Case:** Learn RAG development **⭐ yichuan-w/LEANN** (3,139 stars) - RAG on Everything with LEANN - 97% storage savings, fast, accurate, 100% private - 🔗 https://github.com/yichuan-w/LEANN - **Use Case:** Efficient private RAG **⭐ swirlai/swirl-search** (2,911 stars) - AI Search & RAG Without Moving Your Data - Instant answers across 100+ apps, data stays secure - 🔗 https://github.com/swirlai/swirl-search - **Use Case:** Federated RAG search **⭐ MemTensor/MemOS** (2,562 stars) - MemOS (Preview) | Intelligence Begins with Memory - 🔗 https://github.com/MemTensor/MemOS - **Use Case:** Memory-based AI OS **⭐ devflowinc/trieve** (2,523 stars) - All-in-one platform for search, recommendations, RAG, and analytics - Offered via API - 🔗 https://github.com/devflowinc/trieve - **Use Case:** Unified RAG platform **⭐ qdrant/fastembed** (2,427 stars) - Fast, Accurate, Lightweight Python library - State of the Art Embedding - 🔗 https://github.com/qdrant/fastembed - **Use Case:** High-performance embeddings --- ## Vector Databases **⭐ zilliztech/claude-context** (4,060 stars) ⚡ HIGHLY RECOMMENDED - Code search MCP for Claude Code - Make entire codebase the context for any coding agent - 🔗 https://github.com/zilliztech/claude-context - **Use Case:** Vector-based code search for Claude **⭐ zilliztech/GPTCache** (7,790 stars) - Semantic cache for LLMs - Fully integrated with LangChain and llama_index - 🔗 https://github.com/zilliztech/GPTCache - **Use Case:** LLM response caching with vectors **⭐ philippgille/chromem-go** (730 stars) - Embeddable vector database for Go with Chroma-like interface - Zero third-party dependencies, in-memory with optional persistence - 🔗 https://github.com/philippgille/chromem-go - **Use Case:** Lightweight vector DB in Go **⭐ AI-Northstar-Tech/vector-io** (263 stars) - Comprehensive Vector Data Tooling - Universal interface for all vector databases, datasets, RAG platforms - 🔗 https://github.com/AI-Northstar-Tech/vector-io - **Use Case:** Vector database abstraction layer **⭐ pinecone-io/pinecone-ts-client** (247 stars) - Official TypeScript/Node client for Pinecone vector database - 🔗 https://github.com/pinecone-io/pinecone-ts-client - **Use Case:** Pinecone TypeScript integration **⭐ nitaiaharoni1/vector-storage** (235 stars) - Vector database enabling semantic similarity searches - In browser's local storage using OpenAI embeddings - 🔗 https://github.com/nitaiaharoni1/vector-storage - **Use Case:** Browser-based vector storage **⭐ mharrvic/semantic-search-openai-pinecone** (152 stars) - Semantic search with OpenAI embeddings stored to Pinecone - 🔗 https://github.com/mharrvic/semantic-search-openai-pinecone - **Use Case:** OpenAI + Pinecone semantic search --- ## Claude/Anthropic Ecosystem **⭐ danny-avila/LibreChat** (30,717 stars) ⚡ ESSENTIAL - Enhanced ChatGPT Clone with Agents, MCP, DeepSeek, Anthropic - AWS, OpenAI, Responses API, Azure, Groq, o1, GPT-5, Mistral, etc. - 🔗 https://github.com/danny-avila/LibreChat - **Use Case:** Full-featured multi-model chat with agents **⭐ asgeirtj/system_prompts_leaks** (22,113 stars) - Collection of extracted System Prompts from ChatGPT, Claude & Gemini - 🔗 https://github.com/asgeirtj/system_prompts_leaks - **Use Case:** Learn from system prompts **⭐ winfunc/opcode** (18,161 stars) - Powerful GUI app and Toolkit for Claude Code - Create custom agents, manage interactive sessions, run background agents - 🔗 https://github.com/winfunc/opcode - **Use Case:** Claude Code GUI and toolkit **⭐ wshobson/agents** (17,641 stars) - Intelligent automation and multi-agent orchestration for Claude Code - 🔗 https://github.com/wshobson/agents - **Use Case:** Multi-agent orchestration for Claude **⭐ hesreallyhim/awesome-claude-code** (15,368 stars) - Curated list of awesome commands, files, and workflows for Claude Code - 🔗 https://github.com/hesreallyhim/awesome-claude-code - **Use Case:** Claude Code resources **⭐ friuns2/BlackFriday-GPTs-Prompts** (8,642 stars) - List of free GPTs that don't require plus subscription - 🔗 https://github.com/friuns2/BlackFriday-GPTs-Prompts - **Use Case:** Free AI prompts and GPTs **⭐ davila7/claude-code-templates** (7,721 stars) - CLI tool for configuring and monitoring Claude Code - 🔗 https://github.com/davila7/claude-code-templates - **Use Case:** Claude Code CLI management **⭐ e2b-dev/fragments** (5,931 stars) - Open-source Next.js template for apps fully generated by AI - 🔗 https://github.com/e2b-dev/fragments - **Use Case:** AI-generated applications **⭐ winfunc/deepreasoning** (5,344 stars) - High-performance LLM inference API and Chat UI - Integrates DeepSeek R1's CoT reasoning with Anthropic Claude models - 🔗 https://github.com/winfunc/deepreasoning - **Use Case:** Deep reasoning with Claude **⭐ tbphp/gpt-load** (5,291 stars) - Multi-channel AI proxy with intelligent key rotation - 智能密钥轮询的多渠道 AI 代理 - 🔗 https://github.com/tbphp/gpt-load - **Use Case:** Multi-provider AI proxy **⭐ siteboon/claudecodeui** (4,311 stars) - Use Claude Code or Cursor CLI on mobile and web - Free open source webui/GUI for managing Claude Code sessions - 🔗 https://github.com/siteboon/claudecodeui - **Use Case:** Mobile Claude Code interface **⭐ billmei/every-chatgpt-gui** (3,828 stars) - Every front-end GUI client for ChatGPT, Claude, and other LLMs - 🔗 https://github.com/billmei/every-chatgpt-gui - **Use Case:** GUI client collection **⭐ langgptai/awesome-claude-prompts** (3,639 stars) - Claude prompt curation to use Claude better - 🔗 https://github.com/langgptai/awesome-claude-prompts - **Use Case:** Claude prompt engineering **⭐ crmne/ruby_llm** (3,065 stars) - One beautiful Ruby API for OpenAI, Anthropic, Gemini, Bedrock, etc. - 🔗 https://github.com/crmne/ruby_llm - **Use Case:** Ruby multi-LLM client **⭐ nicepkg/aide** (2,646 stars) - Conquer Any Code in VSCode - One-click comments, conversions, UI-to-Code, AI batch processing - 🔗 https://github.com/nicepkg/aide - **Use Case:** VSCode AI coding assistant **⭐ griptape-ai/griptape** (2,391 stars) - Modular Python framework for AI agents and workflows - Chain-of-thought reasoning, tools, and memory - 🔗 https://github.com/griptape-ai/griptape - **Use Case:** Python AI agent framework **⭐ stravu/crystal** (2,167 stars) - Run multiple Codex and Claude Code AI sessions in parallel - Git worktrees for testing and comparing approaches - 🔗 https://github.com/stravu/crystal - **Use Case:** Parallel Claude Code sessions **⭐ ax-llm/ax** (2,148 stars) - The pretty much "official" DSPy framework for TypeScript - 🔗 https://github.com/ax-llm/ax - **Use Case:** DSPy for TypeScript --- ## Agent Orchestration & Deployment **⭐ n8n-io/n8n** (148,191 stars) ⚡ ESSENTIAL - Fair-code workflow automation platform with native AI capabilities - Visual building + custom code, 400+ integrations - 🔗 https://github.com/n8n-io/n8n - **Use Case:** Visual workflow automation with AI **⭐ ansible/ansible** (66,715 stars) ⚡ ESSENTIAL - Radically simple IT automation platform - 🔗 https://github.com/ansible/ansible - **Use Case:** Infrastructure automation **⭐ labring/FastGPT** (25,997 stars) ⚡ HIGHLY RECOMMENDED - Knowledge-based platform with data processing, RAG retrieval - 🔗 https://github.com/labring/FastGPT - **Use Case:** Knowledge platform for AI agents **⭐ coze-dev/coze-studio** (17,844 stars) - AI agent development platform with all-in-one visual tools - Simplifying agent creation, debugging, and deployment - 🔗 https://github.com/coze-dev/coze-studio - **Use Case:** Visual agent development platform **⭐ simstudioai/sim** (16,975 stars) - Open-source platform to build and deploy AI agent workflows - 🔗 https://github.com/simstudioai/sim - **Use Case:** Build and deploy agent workflows **⭐ triggerdotdev/trigger.dev** (12,579 stars) - Build and deploy fully-managed AI agents and workflows - 🔗 https://github.com/triggerdotdev/trigger.dev - **Use Case:** Managed AI workflow platform **⭐ ruvnet/claude-flow** (8,876 stars) - Leading agent orchestration platform for Claude - Deploy intelligent multi-agent swarms, coordinate autonomous workflows - 🔗 https://github.com/ruvnet/claude-flow - **Use Case:** Claude multi-agent orchestration **⭐ chain-ml/council** (828 stars) - Open-source platform for rapid development and robust deployment - Customized generative AI applications - 🔗 https://github.com/chain-ml/council - **Use Case:** GenAI application deployment **⭐ CopilotKit/open-multi-agent-canvas** (452 stars) - Open-source multi-agent chat interface - Manage multiple agents in one dynamic conversation - Add MCP servers for deep research - 🔗 https://github.com/CopilotKit/open-multi-agent-canvas - **Use Case:** Multi-agent chat with MCP --- ## AI Development Platforms **⭐ ToolJet/ToolJet** (36,731 stars) ⚡ ESSENTIAL - Open-source foundation of ToolJet AI - AI-native platform for building internal tools, dashboards, workflows - 🔗 https://github.com/ToolJet/ToolJet - **Use Case:** Low-code AI app builder **⭐ CherryHQ/cherry-studio** (34,135 stars) - Desktop client supporting multiple LLM providers - 🔗 https://github.com/CherryHQ/cherry-studio - **Use Case:** Multi-LLM desktop client **⭐ yamadashy/repomix** (19,654 stars) ⚡ HIGHLY RECOMMENDED - Pack entire repository into single, AI-friendly file - Perfect for feeding codebases to LLMs - 🔗 https://github.com/yamadashy/repomix - **Use Case:** Repository packaging for AI **⭐ 1Panel-dev/MaxKB** (18,549 stars) - Open-source platform for building enterprise-grade agents - 强大易用的开源企业级智能体平台 - 🔗 https://github.com/1Panel-dev/MaxKB - **Use Case:** Enterprise agent platform **⭐ botpress/botpress** (14,269 stars) - Open-source hub to build & deploy GPT/LLM Agents - 🔗 https://github.com/botpress/botpress - **Use Case:** Conversational AI platform **⭐ agentscope-ai/agentscope** (13,075 stars) - Agent-Oriented Programming for Building LLM Applications - 🔗 https://github.com/agentscope-ai/agentscope - **Use Case:** Agent-oriented development **⭐ AstrBotDevs/AstrBot** (12,565 stars) - One-stop LLM chatbot platform and development framework - QQ, QQ频道, Telegram, 企微, 飞书, 钉钉 support - Knowledge base, MCP server support - 🔗 https://github.com/AstrBotDevs/AstrBot - **Use Case:** Multi-platform chatbot platform **⭐ openai/openai-node** (10,219 stars) - Official JavaScript / TypeScript library for the OpenAI API - 🔗 https://github.com/openai/openai-node - **Use Case:** Official OpenAI TypeScript client **⭐ dataelement/bisheng** (9,740 stars) - Open LLM devops platform for Enterprise AI - GenAI workflow, RAG, Agent, Unified Model Management - 🔗 https://github.com/dataelement/bisheng - **Use Case:** Enterprise LLM DevOps **⭐ codexu/note-gen** (9,662 stars) - Cross-platform Markdown AI note-taking software - 🔗 https://github.com/codexu/note-gen - **Use Case:** AI note-taking **⭐ elie222/inbox-zero** (9,015 stars) - World's best AI personal assistant for email - Open source app to help reach inbox zero fast - 🔗 https://github.com/elie222/inbox-zero - **Use Case:** AI email management **⭐ sigoden/aichat** (8,314 stars) - All-in-one LLM CLI tool - Shell Assistant, Chat-REPL, RAG, AI Tools & Agents - 🔗 https://github.com/sigoden/aichat - **Use Case:** CLI for LLMs **⭐ xiangsx/gpt4free-ts** (7,773 stars) - Free OpenAI GPT-4 API - TypeScript version of xtekky/gpt4free - 🔗 https://github.com/xiangsx/gpt4free-ts - **Use Case:** Free GPT-4 access **⭐ InternLM/InternLM** (7,071 stars) - Official release of InternLM series (InternLM, InternLM2, InternLM2.5, InternLM3) - 🔗 https://github.com/InternLM/InternLM - **Use Case:** Chinese LLM models **⭐ run-llama/rags** (6,511 stars) - Build ChatGPT over your data, all with natural language - 🔗 https://github.com/run-llama/rags - **Use Case:** Natural language RAG builder **⭐ Tencent/WeKnora** (6,437 stars) - LLM-powered framework for deep document understanding - Semantic retrieval, context-aware answers using RAG - 🔗 https://github.com/Tencent/WeKnora - **Use Case:** Document understanding with RAG **⭐ dsdanielpark/Bard-API** (5,240 stars) - Unofficial Python package for Google Bard through cookie value - 🔗 https://github.com/dsdanielpark/Bard-API - **Use Case:** Bard API access **⭐ h2oai/h2o-llmstudio** (4,677 stars) - Framework and no-code GUI for fine-tuning LLMs - 🔗 https://github.com/h2oai/h2o-llmstudio - **Use Case:** LLM fine-tuning platform **⭐ LLM-Red-Team/kimi-free-api** (4,671 stars) - KIMI AI 长文本大模型逆向API - Long text interpretation, intelligent agent dialogue, networking search - 🔗 https://github.com/LLM-Red-Team/kimi-free-api - **Use Case:** KIMI AI API access **⭐ ibttf/interview-coder** (4,393 stars) - Invisible desktop application for technical interviews - 🔗 https://github.com/ibttf/interview-coder - **Use Case:** Interview assistance **⭐ Ironclad/rivet** (4,235 stars) - Open-source visual AI programming environment and TypeScript library - 🔗 https://github.com/Ironclad/rivet - **Use Case:** Visual AI programming **⭐ openai/openai-realtime-console** (3,477 stars) - React app for inspecting, building and debugging Realtime API - 🔗 https://github.com/openai/openai-realtime-console - **Use Case:** OpenAI Realtime API console **⭐ lingodotdev/lingo.dev** (3,341 stars) - Open-source, AI-powered i18n toolkit - Instant localization with LLMs - 🔗 https://github.com/lingodotdev/lingo.dev - **Use Case:** AI localization toolkit **⭐ pezzolabs/pezzo** (3,118 stars) - Open-source, developer-first LLMOps platform - Prompt design, version management, instant delivery, collaboration - 🔗 https://github.com/pezzolabs/pezzo - **Use Case:** LLMOps platform **⭐ gmpetrov/databerry** (2,937 stars) - No-code platform for building custom LLM Agents - 🔗 https://github.com/gmpetrov/databerry - **Use Case:** No-code LLM agents **⭐ Atome-FE/llama-node** (870 stars) - Llama for Node.js backed by llama-rs, llama.cpp, rwkv.cpp - Work locally on laptop CPU - 🔗 https://github.com/Atome-FE/llama-node - **Use Case:** Local LLM inference in Node.js --- ## LLM Observability & Monitoring **⭐ langfuse/langfuse** (17,000 stars) ⚡ ESSENTIAL - Open source LLM engineering platform - LLM Observability, metrics, evals, prompt management - 🔗 https://github.com/langfuse/langfuse - **Use Case:** THE LLM observability platform **⭐ huggingface/agents-course** (22,964 stars) ⚡ HIGHLY RECOMMENDED - Hugging Face Agents Course repository - 🔗 https://github.com/huggingface/agents-course - **Use Case:** Learn agent development **⭐ mlflow/mlflow** (22,469 stars) ⚡ HIGHLY RECOMMENDED - Open source developer platform to build AI/LLM applications - End-to-end tracking, observability, evaluation, governance - 🔗 https://github.com/mlflow/mlflow - **Use Case:** ML/LLM lifecycle management **⭐ GoogleCloudPlatform/generative-ai** (11,725 stars) - Sample code and notebooks for Generative AI on Google Cloud - Gemini on Vertex AI - 🔗 https://github.com/GoogleCloudPlatform/generative-ai - **Use Case:** Google Cloud GenAI examples **⭐ Arize-ai/phoenix** (7,218 stars) - AI Observability & Evaluation - 🔗 https://github.com/Arize-ai/phoenix - **Use Case:** AI observability platform **⭐ LazyAGI/LazyLLM** (2,920 stars) - Easiest and laziest way for building multi-agent LLMs applications - 🔗 https://github.com/LazyAGI/LazyLLM - **Use Case:** Simple multi-agent development **⭐ melih-unsal/DemoGPT** (1,871 stars) - Everything you need to create an LLM Agent - Tools, prompts, frameworks, and models all in one place - 🔗 https://github.com/melih-unsal/DemoGPT - **Use Case:** All-in-one LLM agent toolkit **⭐ kaushikb11/awesome-llm-agents** (1,126 stars) - Curated list of awesome LLM agents frameworks - 🔗 https://github.com/kaushikb11/awesome-llm-agents - **Use Case:** Discover LLM agent frameworks **⭐ SmythOS/sre** (1,034 stars) - The Operating System for Agents - 🔗 https://github.com/SmythOS/sre - **Use Case:** Agent operating system **⭐ JudgmentLabs/judgeval** (1,011 stars) - Open source post-building layer for agents - Environment data and evals power agent post-training - 🔗 https://github.com/JudgmentLabs/judgeval - **Use Case:** Agent evaluation and monitoring --- *Part of octocode-mcp resources collection*