A curated list of awesome projects, resources, and tools for building stateful, multi-actor applications with LangGraph.
Welcome to Awesome LangGraph! This repository is your go-to resource for discovering tools, templates, and examples for building powerful AI applications with LangGraph. Whether you're just getting started or building production-ready systems, you'll find valuable resources to accelerate your development.
- Core Ecosystem
- Official Resources
- Community Projects
- Learning Resources
- Companies Using LangGraph
- Contributing
- Acknowledgments
LangGraph extends the LangChain ecosystem to provide flexible orchestration for LLM-powered systems. The ecosystem consists of several key components working together to support the entire LLM application lifecycle:
Source: LangChain Documentation
LangChain
- Foundation framework for LLM application development
- Provides standardized interfaces for LLMs and related technologies
- Includes extensive integrations with embedding models and vector stores
- Features reusable components for chains, agents, and memory systems
📚 Documentation: Python | TypeScript
LangGraph
- Built on top of LangChain for advanced workflow orchestration
- Enables building stateful, multi-agent systems
- Provides first-class streaming support
- Includes built-in human-in-the-loop capabilities
- Supports complex agent interactions and coordination
📚 Documentation: LangGraph Docs | TypeScript Docs
LangSmith
- Comprehensive observability and debugging platform
- Debugging and testing tools
- Playground for experimentation
- Prompt management and versioning
- Annotation and evaluation
- Performance monitoring
- Testing automation
📚 Documentation: LangSmith Platform | LangSmith Docs
LangGraph Platform
- Production deployment and management solution
- API generation for LangGraph applications
- Deployment automation
- Scaling infrastructure
- Production monitoring
📚 Documentation: Platform Overview
More details about the platform components and features in the section below.
The LangGraph Platform provides tools and services for building, deploying, and managing production-grade applications:
Source: LangGraph Platform Documentation
LangGraph Server
- Opinionated API architecture for deploying agentic applications
- Built-in support for streaming, background runs, and task queues
- Horizontally scalable infrastructure
- Integrated monitoring with LangSmith
📚 Documentation: Server Docs
LangGraph Studio
- Visual IDE for development and debugging
- Real-time graph visualization
- Interactive testing environment
- Integrated debugging tools
📚 Documentation: Studio Docs
LangGraph CLI
- Command-line interface for local development
- Project scaffolding and management
- Deployment automation
- Configuration management
📚 Documentation: CLI Docs
LangGraph SDK
- Core development toolkit
- Graph construction and management
- State management utilities
- Integration helpers
📚 Documentation: SDK Docs
Remote Graph
- Remote execution of deployed applications
- Seamless integration with deployed servers
- State synchronization
- Distributed execution support
📚 Documentation: Remote Graph Guide
Official templates, tools, and libraries maintained by LangChain and LangGraph teams.
Templates to help you get started with LangGraph. For deployment instructions, check out the LangGraph CLI Documentation.
| Template | Description |  |
 |
|---|---|---|---|
| New Project | Basic chatbot with memory | langchain-ai/new-langgraph-project | langchain-ai/new-langgraphjs-project |
| ReAct Agent | Tool-using agent framework | langchain-ai/react-agent | langchain-ai/react-agent-js |
| Memory Agent | Cross-thread memory persistence | langchain-ai/memory-agent | langchain-ai/memory-agent-js |
| Retrieval Agent | Knowledge-based QA system | langchain-ai/retrieval-agent-template | langchain-ai/retrieval-agent-template-js |
| Data Enrichment | Web search & data organization | langchain-ai/data-enrichment | langchain-ai/data-enrichment-js |
LangGraph comes with a built-in React agent pattern, and the community has developed numerous additional agent libraries. Below are some of the most popular community-built options that extend LangGraph's functionality in various ways.
These are the official agents provided and maintained by LangGraph:
| Agent | Description | |
|
|---|---|---|---|
| Computer Use Agent | Agent for automating computer interactions and tasks | langgraph-cua-py | langgraph-cua |
| Swarm Agent | Build swarm-style multi-agent systems | langgraph-swarm-py | langgraph-swarm |
| Supervisor | Build supervisor multi-agent systems | langgraph-supervisor-py | langgraph-supervisor |
| MCP Adapters | Make Anthropic MCP tools compatible with agents | langchain-mcp-adapters | ❌ |
| LangMem | Agents that learn and adapt from interactions | langmem | ❌ |
| CodeAct | Advanced function-calling with code generation | langgraph-codeact | ❌ |
| Reflection | Agent architecture with self-review capabilities | langgraph-reflection | ❌ |
| BigTool | Build agents with large numbers of tools | langgraph-bigtool | ❌ |
These applications demonstrate real-world implementations using LangGraph. From chatbots to content generation, each example showcases different patterns and best practices for building production-ready systems and can be deployed with LanGraph Cloud.
You can use these as reference architectures or starting points for your own projects.
| Name | Description |
|---|---|
ChatLangChain |
Documentation assistant powered by RAG-based semantic search with intelligent query analysis. Features automated content indexing, duplicate prevention, GenUI, and sophisticated document tracking system. |
OpenGPTs |
Open-source GPT alternative supporting 60+ LLM providers and tools. Implements three cognitive architectures (Assistant, RAG, Chatbot) with PostgreSQL backend and flexible deployment options. |
Executive AI Assistant |
Smart email management system with calendar integration. Provides intelligent triage, automated response drafting, and meeting coordination through Gmail API with customizable workflows. |
Agent Inbox |
Centralized interface for AI agent interactions featuring real-time communication, interrupt handling, and configurable response systems for both local and cloud deployments. |
Python Fullstack |
All-in-one chatbot template combining React-style agents with modern UI. Built with FastHTML components and Claude 3, featuring single-deployment architecture and extensible tools. |
LangGraph UI Examples |
Showcase of generative UI agents including stockbroker, trip planner, and email tools. Demonstrates human-in-the-loop workflows with customizable components and tool integrations. |
LangChain Next.js |
Next.js starter template showcasing LangChain.js modules. Includes streaming chat, structured output, multi-step agents, and RAG implementations with Vercel AI SDK integration. |
Custom Auth |
Supabase-powered authentication template for LangGraph deployments. Implements OAuth2 with Google, user management, and secure chatbot access with conversation thread isolation. |
Gen UI Computer Use |
A Generative UI web app for interacting with Computer Use Agents (CUA) via the @langchain/langgraph-cua prebuilt package. Features a modern interface for computer automation and task management. |
LangGraph provides official development tools to streamline your workflow, from visual design to code generation. These tools help you build and deploy LangGraph applications more efficiently.
- LangGraph Builder – Visual canvas for designing cognitive architectures of LangGraph applications with code generation for Python and TypeScript
- LangGraph Generator – CLI tool for generating LangGraph application stubs from YAML specifications
Access official documentation in LLM-readable formats, enabling LLMs and agents to understand and work with the frameworks, particularly within integrated development environments (IDEs). Learn more in the official documentation.
| Framework | Index File | Full Documentation |
|---|---|---|
| LangGraph Python | llms.txt | llms-full.txt |
| LangGraph JS | llms.txt | llms-full.txt |
| LangChain Python | llms.txt | - |
| LangChain JS | llms.txt | - |
The llms.txt files serve as lightweight indexes for quick reference, while llms-full.txt provides comprehensive documentation for deeper understanding and integration.
Ready-to-use integrations for extending LangGraph with external services and tools. Access everything from LLMs, vector stores to databases to development tools.
🔗 Python Packages | 🔗 JavaScript Packages
This is a curated list of open-source agent and LLM projects. They are grouped by category for easier discovery.
- TrustCall - Tenacious tool calling built on LangGraph
- Data Science Team - AI-powered data science team for common tasks
- Delve - A taxonomy generator for unstructured data
- Nodeology - Enable researcher to build scientific workflows easily with simplified interface
- Breeze Agent - A streamlined research system built inspired on STORM and built on LangGraph
Want to contribute your own pre-built agent? Check out the contribution guidelines in the documentation.
- Meeting Prep Agent – Advanced meeting preparation system combining calendar integration, real-time web search, and profile research capabilities with MCP and ReAct agent flows.
- AI-Data-Analysis-MultiAgent – Multi-agent system for data analysis, visualization, and report generation.
- AI Coding Assistant – Development tool that uses LangGraph agents to aid coding workflow with natural language.
- Brainstormers – Tool with curated, optimized chains for brainstorming using real-world techniques.
- Clevrr Computer – Automation agent for basic computer tasks with a focus on safety and accuracy.
- ContentMind AI – Turns websites into LLM-ready research content with automated documentation indexing.
- CopilotKit – Framework for building AI copilots with generative UI, chat interfaces, and human-in-the-loop capabilities
- RD-Agent – Microsoft's R&D automation tool for data mining, paper analysis, and model tuning.
- WebRover – Autonomous AI agent for automating web tasks and research.
- AI Conversation Simulator – Test and develop AI assistants through simulated conversations with configurable personas and LangSmith integration
- SurfSense – Customizable AI research agent that integrates personal knowledge bases with external sources like Tavily, Slack, and Notion
- RAI – Flexible multi-agent framework for developing and deploying Embodied AI features in robotics with multi-modal interaction support
- Open Multi-Agent Canvas – Dynamic chat interface for managing multiple agents in one conversation, featuring travel planning and research capabilities through MCP servers, built with Next.js and LangGraph.
- InboxHero – Smart email management assistant built with LangGraph that prioritizes messages, reads attachments, and drafts replies using ChatGroq, featuring interactive chat mode and customizable time frames.
- Multi-Agent Medical Assistant – AI-powered multi-agent system for medical diagnosis, research, and patient interaction, featuring LLMs, RAG, and human-in-the-loop validation.
- LangGraph WhatsApp Agent – Template for building scalable WhatsApp AI agents with LangGraph, supporting multi-agent systems, image processing, and MCP integration.
- AI Agent Service Toolkit – Framework for deploying AI agents with FastAPI and Streamlit.
- Browser Use: Web AI – Library for AI agents to interact with websites and automate web tasks.
- Khoj – Self-hostable AI second brain for web or docs with custom agents.
- Hyperbolic-AgentKit – AI agent framework with blockchain and compute features.
- Agent Protocol – Codified, framework-agnostic APIs for serving LLM agents in production.
- SRAgent – Multi-agent framework for automating genomic research and RNA sequencing workflows from scientific databases.
- Google GenAI Toolbox – Production-grade infrastructure for connecting AI agents with databases, featuring security, observability, and connection pooling
- LangGraph MCP Agents – Toolkit for integrating Model Context Protocol (MCP) with LangGraph agents, featuring Streamlit interface, dynamic tool management, and real-time streaming responses.
- LangManus – Community-driven AI automation framework combining language models with specialized tools for web search, crawling, and Python code execution.
- FastAPI LangGraph Agent Template – Production-ready FastAPI template for building AI agent applications with LangGraph integration, featuring high-performance async API endpoints, LLM observability, structured logging, PostgreSQL persistence, Docker support, and comprehensive security features.
- Ryoma – AI-powered data agent framework for data analysis, engineering, and visualization, combining LangChain, Reflex, Apache Arrow, and more.
- FastAPI MCP LangGraph Template – Production-ready FastAPI template integrating LangGraph and MCP for agent orchestration, streaming UX, and database persistence.
- AgentWrite – Automated content generation tool that breaks down writing tasks.
- Podcastfy.ai – Transforms multi-modal content into audio conversations in multiple languages.
- Robo-blogger – Voice-to-content pipeline for converting spoken ideas into structured blog posts.
- Social Media Agent – Generates Twitter & LinkedIn posts from URLs with optional human review.
- YT Navigator – AI-powered tool for efficient navigation and search through YouTube channel content
- AI-Powered Podcast Creation – Automated workflow for creating engaging podcasts from academic texts using AI agents, featuring content summarization, script writing, and self-improving prompt optimization based on user feedback.
- bRAG – Tutorial series on RAG (Retrieval Augmented Generation) from basics to advanced.
- DeepGit – Advanced LangGraph-based agentic workflow for intelligent GitHub repository discovery, featuring hybrid dense retrieval, cross-encoder re-ranking, and comprehensive activity analysis.
- AI PDF Chatbot – Customizable template for building AI chatbots that process PDF documents using LangChain and LangGraph, featuring document ingestion, vector storage, and streaming responses.
- Demo Bank Support Bot – RAG-powered banking support chatbot designed to prevent hallucinations.
- Denser Chat – Chatbot that answers questions from PDFs and webpages with text extraction.
- IdentityRAG Insights – Chatbot that merges customer data into golden records for context-aware replies.
- King RAGent – AI research assistant with PDF processing, vector storage, and web search integration.
- Reply gAI – AI clone for X/Twitter profiles with long-term memory and RAG.
- Shandu – LLM-based research system that automates source evaluation and knowledge synthesis.
- Local Deep Research – Privacy-focused research assistant performing deep analysis using multiple LLMs and web searches with local execution capability
- GPT Researcher – Open deep research agent producing detailed reports with citations, using Plan-and-Solve and RAG techniques
- AI Case Study Analyzer - Discovers and analyzes enterprise AI case studies.
- AI Hedge Fund - Six AI agents collaborating through LangChain for smart trading decisions.
- gotoHuman Lead Agent - AI-powered sales solution for automated personalized email drafting with human oversight.
- GreenMe – AI sustainability guide that analyzes lifestyle for carbon footprint reduction.
- Introduction to LangGraph - Official course covering fundamentals and practical use cases.
- LangGraph - Develop LLM powered AI agents - Course on building AI agents with LangGraph by @emarco177
- Ava WhatsApp Agent - Course on building a WhatsApp agent with LangGraph, featuring voice processing, image generation, and long-term memory.
- GenAI Agents - Agent implementation examples
- RAG Techniques - Several RAG implementations and tutorials
- Grounding RAG Applications Workshop - Hands-on workshop building RAG chatbots and travel planning agents with JavaScript and Elasticsearch
A comprehensive list of organizations using LangGraph in production environments. For more details and case studies, visit the official adopters page.
| Company | Industry | Use Case | Reference |
|---|---|---|---|
| Social Media | Code generation; Search & discovery | Blog post, 2025 | |
| Uber | Transportation | Developer productivity; Code generation | Presentation, 2024 |
| GitLab | Software & Technology | Code generation | Duo workflow docs |
| Klarna | Fintech | Copilot for domain-specific task | Case study, 2025 |
| Rakuten | E-commerce / Fintech | Copilot for domain-specific task | Blog post, 2025 |
| Minimal | E-commerce | Customer support | Case study, 2025 |
| Komodo Health | Healthcare | Copilot for domain-specific task | Blog post |
| OpenRecovery | Healthcare | Copilot for domain-specific task | Case study, 2024 |
| AppFolio | Real Estate | Copilot for domain-specific task | Case study, 2024 |
| Cisco Outshift | Software & Technology | DevOps | Blog post, 2025 |
| Elastic | Software & Technology | Copilot for domain-specific task | Blog post, 2025 |
| Infor | Software & Technology | GenAI embedded product experiences; customer support; copilot | Case study, 2025 |
| AirTop | Software & Technology (GenAI Native) | Browser automation for AI agents | Case study, 2024 |
| Athena Intelligence | Software & Technology (GenAI Native) | Research & summarization | Case study, 2024 |
| Captide | Software & Technology (GenAI Native) | Data extraction | Case study, 2025 |
We welcome contributions to this awesome list! Please ensure your submission:
- Includes a clear description of its purpose and value
- Follows the existing format and style
- Is placed in the appropriate category
To contribute:
- Fork the repository
- Add your project following the established format
- Create a pull request with a brief explanation
For questions or suggestions, please open an issue.
Special thanks to the @langchain-ai team for building such an amazing framework and ecosystem that enables developers to create powerful AI applications.
This list is inspired by awesome-langchain, which has been a great resource for the community.