Deep Agents 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 🔌 MCP
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🦜🔗 LangChain interfaces to Google's suite of AI products (Gemini & Vertex AI)
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Build LangChain Applications on AWS
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Integrations between MongoDB, Atlas, LangChain, and LangGraph
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🦜🔗 Docs for LangChain projects
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This package contains the LangChain integration with LiteLLM
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Deep Agents in JS
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LangChain abstractions backed by Postgres Backend
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This repo is deprecated. Please go to langchain-ai/docs.
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LangChain for Go, the easiest way to write LLM-based programs in Go
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The LangChain wrapper of Milvus vector database for efficient vector search, full-text search, hybrid retrieval and RAG.
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LangServe 🦜🏓
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LangGraph Typescript Agents Notebooks: email, human in the loop, memory
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🦜⛏️ Did you say you like data?
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Safely run untrusted Python code using Pyodide and Deno
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** THIS REPO HAS MOVED TO https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-mcp-adapters ** Adapters for integrating Model Context Protocol (MCP) tools with LangChain.js applications, supporting both stdio and SSE transports.
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