Build Stateful, Multi-Actor AI Applications
An enterprise framework for building stateful, graph-based agent workflows. From the LangChain team. Observability through LangSmith tracing.
LangChain's answer to production agents: graphs of nodes with explicit state, checkpointing, human-in-the-loop interrupts and time-travel debugging. Became the serious orchestration layer for stateful, multi-step agents in Python and JS. If your agent has loops and needs control, this is the current default.
Who it's for
Teams building stateful, multi-step AI agents who need durable graph-based orchestration with human-in-the-loop.
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