langgraph-docs

To build stateful multi-agent workflows in LangGraph, you need to fetch documentation detailing graph agent orchestration, state machine implementation, and human-in-the-loop patterns to structure your agent communication.

LangGraph uses a graph-based state machine mechanism for agent orchestration, allowing you to define nodes and edges that control state transitions and route execution flows between multiple agents sequentially.

You can find official LangGraph API references and tutorials by fetching the documentation index, which identifies the most relevant URLs for practical implementation guidance and conceptual overviews.

Yes, LangGraph supports human-in-the-loop patterns for agent execution, enabling developers to intercept graph agent workflows for manual approval, review, or input before the state machine proceeds.

Use LangGraph for multi-agent orchestration when your application requires complex stateful coordination, cyclic graph agent logic, or persistent human-in-the-loop interactions that simpler frameworks cannot manage.