This repository is a curated list of projects, resources, and tools for building stateful, multi-actor applications using LangGraph. It serves as a comprehensive guide for developers looking to leverage LangGraph for advanced AI workflow orchestration, from initial learning to production deployment.

How It Works

LangGraph extends the LangChain framework to enable the creation of stateful, multi-agent systems. It provides first-class support for streaming, human-in-the-loop interactions, and complex agent coordination. The ecosystem includes LangChain for foundational LLM application development, LangGraph for advanced workflow orchestration, LangSmith for observability and debugging, and the LangGraph Platform for production deployment and management, featuring tools like LangGraph Server, Studio, and CLI.

Quick Start & Requirements

This repository is a list of resources, not a runnable application. To get started with LangGraph itself, refer to the official documentation: LangGraph Docs.

Highlighted Details

• Extensive catalog of community-built pre-built agents and example applications demonstrating diverse use cases like RAG, multi-agent systems, and AI assistants.
• Official development tools include LangGraph Builder (visual canvas), LangGraph Generator (CLI for scaffolding from YAML), and LLM-readable documentation files.
• Features a "Companies Using LangGraph" section with case studies from major tech companies like LinkedIn, Uber, and GitLab, highlighting production adoption.
• Includes learning resources such as official courses, tutorials, and workshops for both Python and JavaScript implementations.

Maintenance & Community

This list is community-driven and inspired by awesome-langchain. Contributions are welcomed via pull requests. The primary maintainer is von-development.

Licensing & Compatibility

The repository itself is likely under a permissive license (e.g., MIT, Apache 2.0) as it's a curated list. However, the underlying LangGraph framework and its associated tools are part of the LangChain ecosystem, which typically uses permissive licenses (e.g., MIT) allowing for commercial use and integration into closed-source projects.

Limitations & Caveats

As a curated list, the quality and maintenance status of third-party projects vary. Users should independently evaluate the specific projects and libraries linked within this repository.