LangGraph

LangGraph is a low-level orchestration framework and runtime for building, managing, and deploying long-running, stateful agents. It provides durable execution, streaming, human-in-the-loop interactions, and time-travel debugging.

When to use

Use LangGraph when you need to:

• Design custom agent workflows with explicit graph-based control flow
• Add durable execution so agents survive failures and restarts
• Implement human-in-the-loop with interrupts and approval steps
• Build multi-agent systems with state shared across agents
• Stream intermediate results from long-running agent tasks
• Time-travel debug by replaying agent execution from any checkpoint

When NOT to use

• For a simple tool-calling agent, use LangChain agents instead—less boilerplate for common patterns
• For a batteries-included agent with planning and subagents, use Deep Agents instead
• LangGraph is the orchestration layer—use it when you need fine-grained control over agent behavior