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Multi-Step Agent SetupsToolframeworkstateful agentsLangChain

LangGraph

Our verdict

Use it when you need explicit control: branching, retries, human-in-the-loop and durable state. More code than higher-level frameworks, but far more predictable in production.

Who it's for
Developers building production agent systems
Leverage
Control and reliability for complex agents
Effort
High
Date added

What it does

LangGraph lets you design agents and workflows as graphs with persistent state, so complex tasks can be handled reliably, with support for human-in-the-loop.

How builders use it

  • Model your workflow as nodes and edges.
  • Add checkpoints so runs can pause for approval and resume.
  • Start from a prebuilt agent and customise.

What to expect

Agent behaviour you can reason about and debug.

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