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2025-10-28 22:51:22 -04:00
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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
- [`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
- [`DeepAgents`](https://github.com/langchain-ai/deepagents) and [`DeepAgents.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.smith.langchain.com) - platform for building and monitoring production-grade LLM applications
- [`LangSmith`](https://docs.smith.langchain.com) – platform for building and monitoring production-grade LLM applications
OSS extensions and apps:
- [`ChatLangChain`](https://github.com/langchain-ai/chat-langchain) and [`ChatLangChain.js`](https://github.com/langchain-ai/chat-langchainjs) - chatbot for answering questions about LangChain's open source libraries
- [`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
- [`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/) [(source)](https://github.com/langchain-ai/docs)
- [Community forum](https://forum.langchain.com/)
- [LangChain Academy](https://academy.langchain.com/) - comprehensive, free courses on LangChain libraries and products, made by the LangChain team
- [**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