LangChain + LangGraph — AI Agent Orchestration Framework
LangChain and LangGraph are the leading open-source frameworks for building, orchestrating, and deploying autonomous AI agents. LangChain provides the building blocks — LLM integrations, prompt chains, memory, and tool connectors — while LangGraph adds stateful, cyclic agent workflows with human-in-the-loop checkpoints. Together, they power production AI agents at companies like LinkedIn, Uber, and JP Morgan. With 90,000+ GitHub stars, LangChain has the largest AI engineering community, and LangGraph's graph-based execution model enables complex multi-agent systems with error recovery, branching logic, and persistent state.
Features
✦LangGraph stateful agents: cyclic, branching workflows with persistent memory and human-in-the-loop
✦700+ integrations: OpenAI, Anthropic, Google, Pinecone, PostgreSQL, Slack, GitHub, and more
✦LangSmith observability: trace every LLM call, debug agent decisions, and evaluate output quality
✦Multi-agent orchestration: coordinate teams of specialized agents with shared state and task routing
✦Tool calling and function execution: agents use APIs, databases, code interpreters, and web browsers
✦Memory management: short-term conversation history and long-term vector store retrieval (RAG)
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