Difference Between LangGraph and LangChain?

When to Use LangChain vs LangGraph

✅ Use LangChain when

• You need a simple, linear flow like prompt → model → output.

• Your system doesn’t require looping, branching, or complex state management.

• You’re building a prototype or MVP quickly.

⚡ Use LangGraph when

• You need complex, dynamic workflows (loops, retries, branching).

• Your application involves multiple agents or tools working together.

• You want durability, resumability, or human checkpoints.

• You’re managing long-running tasks or autonomous AI agents.