An index of the LangChain + LangGraph ecosystem: concepts, projects, tools, templates, and guides for LLM & multi-agent apps.

An agentic company research tool powered by LangGraph and Tavily that conducts deep diligence on companies using a multi-agent framework. It leverages Google's Gemini 2.5 Flash and OpenAI's GPT-5.1 on the backend for inference.

Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent teams, powered by LangGraph, Langchain, FastAPI, and NextJS.（Flock 是一个基于workflow工作流的低代码平台，用于快速构建聊天机器人、RAG、Agent和Muti-Agent应用，采用 LangGraph、Langchain、FastAPI 和 NextJS 构建。）

🤖 AI-powered software engineering multi-agent system with researcher and developer agents that automate code implementation through intelligent planning and execution. Built with LangGraph multi-agent workflows

Building a Multi-Agent AI System with LangGraph and LangSmith

Mentis: A powerful multi-agent orchestration framework built on LangGraph.

Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework

Multi AI agents for customer support email automation built with Langchain & Langgraph

AI Agent that researches the lives of historical figures and extracts events into structured JSON timelines using LangGraph multi-agent orchestration.

How to build a Multi-Agentic Systems for RAG using LangGraph - Full project

本项目实现了一个基于多智能体（Multi-Agent）和检索增强生成（Retrieval-Augmented Generation, RAG）技术的客户支持系统。它利用 Python、LangChain 和 LangGraph 构建了一个能够处理各种旅行相关查询的对话式 AI，包括航班预订、租车、酒店预订和行程推荐。还有对接了woocommerce商城进行商品查询，文章查询，表单提交，订单查询等商城功能。

Multi-agent autonomous research system using LangGraph and LangChain. Generates citation-backed reports with credibility scoring and web search

A high-level multi-agent development framework built on LangGraph, combining CrewAI’s intuitive concepts with enterprise-grade features, ready-to-use templates, and full-stack UI for rapid productization.

AI-powered analysis engine for Argentine government open data. Multi-agent pipeline (LangGraph) with 10 data connectors, NL2SQL, semantic caching, and real-time streaming. Built with FastAPI, PostgreSQL + pgvector, Celery, and Gemini/Claude LLMs.

A WhatsApp AI Agent powered by LangGraph, FastAPI, and Groq. Acts as an empathetic therapist, Dr. Sofia, handling text and voice messages with natural conversations. Supports multi-language, PostgreSQL-backed memory, and real-time synthesis.

A seamless integration of Chainlit with LangGraph. Ideal for fast prototyping multi-LLM chatbot or AI agents.

Multi-Agent Retrieval-Augmented Generation (RAG) Customer Support System using Python, LangChain, and LangGraph.

Multi-agent AI research system — finds academic papers via semantic search & citation snowballing, then answers questions over them using agentic RAG with self-reflection. Built with LangGraph, FastAPI, Celery, and Qdrant.

A multi-agent SOC/DFIR assistant powered by LangChain, LangGraph, and OpenAI models. Automates IOC extraction, MITRE ATT&CK mapping, CVE correlation, investigation planning, and report generation for cybersecurity incident analysis.

LieGraph - AI Agent-Driven "Who Is Spy" Game. Multi-agent social deduction game built with LangGraph where autonomous AI agents use LLM reasoning to find the spy through conversation analysis and strategic voting.

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

A stateful multi-agent travel service system built on LangChain & LangGraph. Features intelligent task delegation, permission control, and human-in-the-loop verification for flight booking, hotel reservations, car rentals, and tour planning.

Sample for context-aware Agentic RaG, Q&A with multi-source verification, and self-curating knowledge base. Powered by Azure AI Foundry Agent Service, Azure AI Search with agentic retrieval and query rewrite, Semantic Kernel and LangGraph agents running in Azure Container Apps, and ready for Copilot Studio

The Retail Shopping Assistant is an AI-powered blueprint that provides a comprehensive interface for an intelligent retail shopping advisor. Built with LangGraph for agent orchestration, it features multi-agent architecture, real-time streaming responses, image-based search, and intelligent shopping cart management.

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A production-ready, scalable multi-agent system built with LangGraph, featuring specialized agents for different tasks with best coding practices.

Production-grade multi-agent orchestration engine. Compose agentic workflows from a pluggable catalog of Agents, LLMs, tools, and retrievers. Execute locally with LangGraph or distributed with Temporal. Built-in RAG pipeline for enterprise knowledge retrieval. A2A and MCP protocol support. Visual drag-and-drop blueprint builder.

📚 AI-powered research reading workbench. Project-based paper Q&A with Hybrid RAG, multi-agent workflows (ReAct/Plan-Act/RePlan), long-term memory, and traceable evidence. Built with LangChain + LangGraph + Streamlit.

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Multi-Agent Collaboration Design Patterns Built on LangGraph with 10+ battle-tested patterns, each with complete code, architecture diagrams, and benchmarks.