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LangGraph

Build stateful, multi-actor agent applications as controllable graphs.

LangGraph is a low-level orchestration framework from the LangChain team for building stateful, multi-agent applications modeled as graphs of nodes and edges. It adds durable execution, persistent memory, human-in-the-loop checkpoints, and cyclic control flow that plain chains cannot express. It is widely used to build production agent runtimes where reliability, branching, and state management matter.

Repository

langchain-ai/langgraph

Language

Python

What you'd build with it

  • Modeling a multi-step agent workflow as an explicit, debuggable state graph
  • Adding human-in-the-loop approval and checkpointed resume to long-running agents
  • Coordinating multiple specialized agents that hand off to each other

Tags

agentsorchestrationgraphstate