LangGraph provides a graph-based way to compose AI agents where state, branching, and tool calls are explicit parts of your architecture.
Because graphs make flow explicit, teams can reason about retries, routing, and failure handling more clearly than with ad-hoc prompt chains. It is especially useful when a workflow needs checkpoints, conditional branches, and reliable handoffs between agents.
For non-trivial AI products, LangGraph helps separate business logic from prompt logic, which improves long-term maintainability and auditability.