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</div>
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Core OSS libraries:
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- [`LangChain`](https://github.com/langchain-ai/langchain) and [`LangChain.js`](https://github.com/langchain-ai/langchainjs) – reusable components and integrations for building LLM applications
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- [`LangGraph`](https://github.com/langchain-ai/langgraph) and [`LangGraph.js`](https://github.com/langchain-ai/langgraphjs) – build LLM agents as graphs
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- [`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
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Commercial Platform:
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- [`LangSmith`](https://docs.langchain.com/langsmith/home) – platform for building and monitoring production-grade LLM applications
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OSS extensions and apps:
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- [`Deep Agents Code`](https://docs.langchain.com/oss/python/deepagents/code/overview) - open source coding agent in your terminal, similar to Claude Code or Cursor, powered by any LLM
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- [`Open SWE`](https://github.com/langchain-ai/open-swe) – open source asynchronous coding agent
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- [`MCP Adapters`](https://github.com/langchain-ai/langchain-mcp-adapters) – make MCP tools compatible with LangChain and LangGraph
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- [`Open Canvas`](https://github.com/langchain-ai/open-canvas) – document & chat-based UX for writing code or markdown. Inspired by OpenAI's Canvas (TypeScript)
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- [`OpenGPTs`](https://github.com/langchain-ai/opengpts) – open source version of OpenAI's GPTs API (Python)
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- [`Email assistant`](https://github.com/langchain-ai/executive-ai-assistant) – AI assistant that helps you maintain your emails (Python)
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- [`LangChain + Next.js template`](https://github.com/langchain-ai/langchain-nextjs-template) – template LangChain.js + Next.js application
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- [`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)
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- [`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
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## Learn more
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