langgraph
33 servers · 3,891★ total
Comprehensive resources on Generative AI, including a detailed roadmap, projects, use cases, interview preparation, and coding preparation.
An introduction to the world of AI Agents
A curated list of original projects built by students of the UNIPDS Software engineering with Applied AI Engineering postgrad course.
🔥🔥🔥 Enterprise AI middleware, alternative to unifyapps, n8n, lyzr
Production-ready Next.js template for building AI agents with LangGraph.js. Features MCP integration for dynamic tool loading, human-in-the-loop tool approval, persistent conversation memory with PostgreSQL, and real-time streaming responses. Built with TypeScript, React, Prisma, and Tailwind CSS.
MCP server for understanding AWS spend
Open standard for Provenance & Intent Contracts (PIC) in AI agents. Verify intent, provenance, and evidence before high-impact tool calls.
Achieve infinite conversation turns in a single API request via turn-mcp. Self-hosted MCP server with browser console for human-in-the-loop AI agents.
Stop building AI agents from scratch. Bootstrap starter Agent app with LangGraph, CopilotKit, and beautiful Generative UIs.
🧠 Stop building AI that forgets. Master MCP (Model Context Protocol) with production-ready semantic memory, hybrid RAG, and the WARNERCO Schematica teaching app. FastMCP + LangGraph + Vector/Graph stores. Your AI assistant's long-term memory starts here.
Production-grade framework for building multi-agent AI systems. Graph-based orchestration, LLM-agnostic (OpenAI, Google GenAI, Anthropic), 3-layer memory (Redis cache + Postgres + vector store), live agents, parallel tool execution, and native MCP. Ships a full ecosystem: backend, REST API + CLI, TypeScript SDK, and React playground
Python SDK for accurate and verifiable agent tool use. Agents verify that answers came from the right source and were not changed. Downstream agents detect 100% of errors and retry to achieve a 50% jump in answer accuracy.
Open-source legal knowledge + data layer для российского права. 145 AI skills + 8 MCP-интеграций с госреестрами (pravo.gov.ru, ЕГРЮЛ, kad.arbitr, ЕФРСБ, Роспатент, Росреестр, госзакупки). Apache 2.0.
🛡️ The security firewall for AI agent tools & MCP servers (Claude, GPT-5.6, Gemini 3.7, Antigravity, Cursor, Codex, Hermes). Catch command injection, secret theft & toxic flows in <50ms. 100% offline Rust SAST + 1-click auto-fix + SARIF.
A production-ready Django app implementing Firebase Model Context Protocol (MCP) server with 14 Firebase tools for AI agents. Features standalone agent, HTTP/stdio transport, LangChain integration, and complete Firebase service coverage (Auth, Firestore, Storage).
Curated catalog and dataset of 50 cloneable GenAI apps and Hugging Face Spaces across RAG, AI agents, LangGraph, MCP, and more
The enterprise-grade CrewAI alternative for Go. Orchestrate strictly-typed, parallel AI agents with LangGraph-style Flow persistence, distributed A2A protocols, Model Context Protocol (MCP), and Human-in-the-Loop training.
Open-source bookkeeping + tax knowledge layer для российских бухгалтеров. Markdown skills + MCP-серверы к ФНС/ПФР/ФСС/1С. Apache 2.0. Sister project to ru-legal.
Deterministic, self-hosted long-term memory for AI agents: store facts instead of transcripts, recall only what matters.
Self-hosted Compound AI System for sovereign environments. Features token-saving complexity routing, deterministic MCP tools for math/logic, configurable expert templates, causal/reinforcement learning, agentic loops, and a federated Neo4j GraphRAG.
git for agent brains — move, debug, and secure AI agent state across 10 frameworks
Developer acceleration layer for enterprise RAG + agent pipelines. 32 production-style flagships on LangChain, LangGraph, CrewAI, Temporal, OpenAI Agents SDK, pydantic-ai. Permission-aware retrieval, chunk-level citations, schema-enforced output. Built on Model Context Protocol (MCP).
MCP data analysis server with 60 expert tools - auto chart recommendation, accessibility-validated chart themes (CVD-simulated, CI-enforced), statistics, ML diagnostics, and inline result display for any LLM (Claude / OpenAI)
Local LLM web search agent powered by Ollama — self-hosted, source-grounded research with MCP tools, citations, and verified PDF reports.
Zenodo MCP server — tool-based LLM integration with Zenodo (open-access research repository) via the Model Context Protocol (MCP)
Open-source AI assistant with persistent memory, self-evolution, and proactive monitoring. Built with Next.js, FastAPI, LangGraph, and Claude. Your data stays on your machine.
MCP-native knowledge graph orchestrator that unifies data silos with GraphRAG, dynamic connectors, and local AI.
The natural-language command layer for an AI workforce — direct governed AI agents to deploy cloud infra, train ML, and run research, all under human policy & approval. Agentic command-and-control.
A Model-Agnostic, Git-Sandboxed Multi-Agent Nexus MCP Server.
Successfully developed a Travel Planner Assistant powered by LangGraph and MCP, integrating real-time flights, hotels, weather, places, and timezone tools. Features modular MCP servers, OpenAI agent orchestration, and a Streamlit UI for end-to-end trip planning.
Framework for building and managing multi-agent systems with Model Context Protocol (MCP) and LangGraph support. Features a modern React UI, JWT-secured agent communication, and dynamic LLM provider integration (OpenAI, Azure, Google). Easily create, configure, and monitor agents that connect to external tools—all from a single interface.
AI agent evaluation framework for multi-participant coordination tasks. Built with LangGraph, custom MCP tools, and LLM-as-a-Judge evaluation. MSc dissertation project (University of Edinburgh, 2025).