LangGraph is built for developers who want to build powerful, adaptable AI agents. Developers choose LangGraph for:
  • Reliability and controllability. Steer agent actions with moderation checks and human-in-the-loop approvals. LangGraph persists context for long-running workflows, keeping your agents on course.
  • Low-level and extensible. Build custom agents with fully descriptive, low-level primitives free from rigid abstractions that limit customization. Design scalable multi-agent systems, with each agent serving a specific role tailored to your use case.
  • First-class streaming support. With token-by-token streaming and streaming of intermediate steps, LangGraph gives users clear visibility into agent reasoning and actions as they unfold in real time.

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Learn LangGraph basics

To get acquainted with LangGraph’s key concepts and features, complete the following LangGraph basics tutorials series:
  1. Build a basic chatbot
  2. Add tools
  3. Add memory
  4. Add human-in-the-loop controls
  5. Customize state
  6. Time travel
In completing this series of tutorials, you will build a support chatbot in LangGraph that can:
  • ✅ Answer common questions by searching the web
  • ✅ Maintain conversation state across calls
  • ✅ Route complex queries to a human for review
  • ✅ Use custom state to control its behavior
  • ✅ Rewind and explore alternative conversation paths