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Build context-aware reasoning applications with LangChain’s flexible abstractions and AI-first toolkits.

Core OSS libraries:

Commercial Platform:

  • LangSmith – platform for building and monitoring production-grade LLM applications

OSS extensions and apps:

  • Open SWE – open source asynchronous coding agent
  • MCP Adapters – make MCP tools compatible with LangChain and LangGraph
  • Open Canvas – document & chat-based UX for writing code or markdown. Inspired by OpenAI's Canvas (TypeScript)
  • OpenGPTs – open source version of OpenAI's GPTs API (Python)
  • Email assistant – AI assistant that helps you maintain your emails (Python)
  • LangChain + Next.js template – template LangChain.js + Next.js application
  • Social media agent – agent for sourcing, curating, and scheduling social media posts with human-in-the-loop (TypeScript)
  • Agent Protocol – our attempt at codifying the framework-agnostic APIs that are needed to serve LLM agents in production

Learn more

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    langchain-ai/deepagents-quickstarts’s past year of commit activity
    Jupyter Notebook 0 0 0 0 Updated Nov 17, 2025
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    langchain-ai/langchainjs’s past year of commit activity
    TypeScript 16,334 MIT 2,864 140 (8 issues need help) 77 Updated Nov 17, 2025
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    langchain-ai/langchain-mongodb’s past year of commit activity
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    Deepagents is an agent harness built on langchain and langgraph. Deep agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped to handle complex agentic tasks.

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    langchain-ai/techhub-workshop’s past year of commit activity
    Jupyter Notebook 5 Apache-2.0 1 0 0 Updated Nov 17, 2025