langgraphjs and awesome-LangGraph

These are complements, where A is the framework for building language agents as graphs, and B is a curated index of the LangChain + LangGraph ecosystem, including tools and guides for using frameworks like A.

langgraphjs
71
Verified
awesome-LangGraph
66
Established
Maintenance 22/25
Adoption 10/25
Maturity 16/25
Community 23/25
Maintenance 20/25
Adoption 10/25
Maturity 16/25
Community 20/25
Stars: 2,634
Forks: 417
Downloads:
Commits (30d): 98
Language: TypeScript
License: MIT
Stars: 1,600
Forks: 168
Downloads:
Commits (30d): 26
Language:
License: CC0-1.0
No Package No Dependents
No Package No Dependents

About langgraphjs

langchain-ai/langgraphjs

Framework to build resilient language agents as graphs.

This framework helps developers build robust and controllable AI agents. It takes in various inputs like user prompts and external tool outputs, then processes them through a defined flow to produce complex responses, automate tasks, or assist users. It's designed for software engineers and AI developers who are building sophisticated AI applications for their products.

AI-application-development agent-orchestration software-engineering system-design

About awesome-LangGraph

von-development/awesome-LangGraph

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

This is a curated index for professionals building and managing AI agents that use large language models (LLMs). It provides a comprehensive map of frameworks, tools, and real-world project examples to help you develop, monitor, evaluate, and deploy sophisticated AI agent applications. You'll find resources covering everything from initial prototyping to managing production systems, including various community projects grouped by use case such as web automation, finance, or research.

AI-agent-development LLM-application-management AI-workflow-deployment Agent-system-evaluation Multi-agent-orchestration

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