awesome-LangGraph — Agent Tool by von-development

by von-development · Agent Tool · ★ 1.7k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About awesome-LangGraph

🦜🕸️ Awesome LangGraph & LangChain Ecosystem The definitive index of frameworks, templates, and real-world projects for building stateful, tool-using AI agents with the LangChain + LangGraph stack. Whether you’re prototyping your first agent or shipping production workflows, this list maps the whole landscape—from core libraries and platform tooling (LangGraph Platform, LangSmith) to integrations, official examples, and community projects organized by domain. What you’ll find Core frameworks: LangChain, LangGraph, LangSmith, and LangGraph Platform Integrations & MCP tooling across models, vector stores, loaders, and tools Official LangChain/LangGraph projects and prebuilt agent libraries Community projects grouped by use case (RAG, web automation, research, finance, etc.) Starter templates and learning resources to get productive fast Contributions welcome—see the Contributing Guide. Table of Contents 🦜🕸️ Awesome LangGraph \& LangChain Ecosystem Table of Contents 🌐 What is the LangChain/Graph Ecosystem Ecosystem Components: 🦜 LangChain 🔗 Core Components [Advance

aiawesomeawesome-listlangchainlanggraphllmllm-agents

Quick Facts

Stars1,697
Forks183
LanguageJavaScript
CategoryAgent Tool
LicenseCC0-1.0
Quality Score43.876/100
Last Updated2026-04-14
Created2024-11-02
Platformsnode
Est. Tokens~37k

Compatible Skills

These tools work well together with awesome-LangGraph for enhanced workflows:

  • DeepMCPAgent — semantic(0.30)+complementary+shared_fw(langchain)+rare_topics+similar_pop (53%)
  • langchain-mcp-adapters — semantic(0.32)+complementary+shared_fw(langchain)+similar_pop (49%)
  • langchainjs-mcp-adapters — semantic(0.17)+complementary+shared_fw(langchain)+rare_topics+similar_pop (48%)
  • full-stack-ai-agent-template — semantic(0.26)+complementary+shared_fw(langchain)+similar_pop (47%)
  • flock — semantic(0.26)+complementary+shared_fw(langchain)+similar_pop (47%)

awesome-LangGraph alternative? Top 6 similar tools

Looking for a awesome-LangGraph alternative? If you're comparing awesome-LangGraph with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • awesome-ai-sdks by e2b-dev · ⭐ 1.1k

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  • Awesome-AITools by ikaijua · ⭐ 5.9k

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  • awesome-ChatGPT-repositories by taishi-i · ⭐ 3.0k

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  • awesome-local-llm by rafska · ⭐ 1.8k

    A curated list of awesome platforms, tools, practices and resources that helps run LLMs locally

  • flock by Onelevenvy · ⭐ 1.1k

    Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent t

  • DeepMCPAgent by cryxnet · ⭐ 806

    Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.

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Frequently Asked Questions

What is awesome-LangGraph?

awesome-LangGraph is An index of the LangChain + LangGraph ecosystem: concepts, projects, tools, templates, and guides for LLM & multi-agent apps.. It is categorized as a Agent Tool with 1.7k GitHub stars.

What programming language is awesome-LangGraph written in?

awesome-LangGraph is primarily written in JavaScript. It covers topics such as ai, awesome, awesome-list.

How do I install or use awesome-LangGraph?

You can find installation instructions and usage details in the awesome-LangGraph GitHub repository at github.com/von-development/awesome-LangGraph. The project has 1.7k stars and 183 forks, indicating an active community.

What license does awesome-LangGraph use?

awesome-LangGraph is released under the CC0-1.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to awesome-LangGraph?

The top alternatives to awesome-LangGraph on Agent Skills Hub include awesome-ai-sdks, Awesome-AITools, awesome-ChatGPT-repositories. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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