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<div align="center">
<a href="https://www.langchain.com/">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://raw.githubusercontent.com/langchain-ai/.github/main/profile/logo-light.svg#gh-dark-mode-only">
<source media="(prefers-color-scheme: light)" srcset="https://raw.githubusercontent.com/langchain-ai/.github/main/profile/logo-dark.svg#gh-light-mode-only">
<img alt="LangChain Logo" src="https://raw.githubusercontent.com/langchain-ai/.github/main/profile/logo-dark.svg" width="80%">
</picture>
</a>
</div>
<div>
<p align="center">
<a
href="https://x.com/langchain"><img src="https://img.shields.io/badge/X/Twitter-000000?style=for-the-badge&logo=x&logoColor=white&logoSize=auto" /></a>
<a href="https://www.linkedin.com/company/langchain/"><img src="https://img.shields.io/badge/LinkedIn-0077B5?style=for-the-badge&logo=langchain&logoColor=white&logoSize=auto" /></a>
<a href="https://www.youtube.com/@LangChain"><img src="https://img.shields.io/badge/YouTube-FF0000?style=for-the-badge&logo=youtube&logoColor=white&logoSize=auto" /></a>
</p>
</div>
<h3 align="center">
<p>Build context-aware reasoning applications with LangChain’s flexible abstractions and AI-first toolkits.</p>
</h3>
Core OSS libraries:
- [`LangChain`](https://github.com/langchain-ai/langchain) and [`LangChain.js`](https://github.com/langchain-ai/langchainjs) – reusable components and integrations for building LLM applications
- [`LangGraph`](https://github.com/langchain-ai/langgraph) and [`LangGraph.js`](https://github.com/langchain-ai/langgraphjs) – build LLM agents as graphs
- [`Deep Agents`](https://github.com/langchain-ai/deepagents) and [`Deep Agents.js`](https://github.com/langchain-ai/deepagentsjs) – agents that can plan, use subagents, and leverage file systems for complex tasks
Commercial Platform:
- [`LangSmith`](https://docs.langchain.com/langsmith/home) – platform for building and monitoring production-grade LLM applications
OSS extensions and apps:
- [`Open SWE`](https://github.com/langchain-ai/open-swe) – open source asynchronous coding agent
- [`MCP Adapters`](https://github.com/langchain-ai/langchain-mcp-adapters) – make MCP tools compatible with LangChain and LangGraph
- [`Open Canvas`](https://github.com/langchain-ai/open-canvas) – document & chat-based UX for writing code or markdown. Inspired by OpenAI's Canvas (TypeScript)
- [`OpenGPTs`](https://github.com/langchain-ai/opengpts) – open source version of OpenAI's GPTs API (Python)
- [`Email assistant`](https://github.com/langchain-ai/executive-ai-assistant) – AI assistant that helps you maintain your emails (Python)
- [`LangChain + Next.js template`](https://github.com/langchain-ai/langchain-nextjs-template) – template LangChain.js + Next.js application
- [`Social media agent`](https://github.com/langchain-ai/social-media-agent) – agent for sourcing, curating, and scheduling social media posts with human-in-the-loop (TypeScript)
- [`Agent Protocol`](https://github.com/langchain-ai/agent-protocol) – our attempt at codifying the framework-agnostic APIs that are needed to serve LLM agents in production
## Learn more
- [**Documentation**](https://docs.langchain.com/) – unified docs for LangChain projects and services [(source)](https://github.com/langchain-ai/docs)
- [Community forum](https://forum.langchain.com/) – discuss, get help, and talk shop
- [LangChain Academy](https://academy.langchain.com/) – comprehensive, free courses on LangChain libraries and products, made by the LangChain team