LangGraph
Stateful graph orchestration for production AI agents
LangGraph is profiled here as a Agentic Capabilities tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
LangGraph is an open-source orchestration framework from the LangChain team for building agents as stateful graphs. Nodes hold logic, edges define control flow, and a checkpointing layer persists state at every step, which gives agents durable execution, replay, and pause-and-resume behavior out of the box. Companies run it standalone or deploy through LangGraph Platform with LangSmith tracing attached. LangGraph underpins production agents at companies including Uber, LinkedIn, and Klarna, according to LangChain, and the same graph runs identically in local development and on the deployed platform.
Key Capabilities:
Graph-based agent orchestration with conditional edges and subgraphs
Durable execution through checkpointing and state persistence
Human-in-the-loop interrupts for approval and correction steps
Time-travel debugging from any saved checkpoint
Token and state streaming for responsive interfaces
Python and TypeScript libraries under MIT licensing
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