LangGraph vs CrewAI vs Dapr: State, Recovery, and Operating Trade-offs
LangGraph, CrewAI, and Dapr address overlapping parts of agent orchestration, but they do not impose the same operating model. Compare the state you must preserve, the failures you must recover from, and the infrastructure you are willing to run. This is a documentation-based comparison. No head-to-head latency, recovery-rate, or developer-productivity benchmark was run for this article. The accompanying worksheet is designed to make your own comparison reproducible. What each system documents System Documented building blocks Configuration that matters LangGraph Graph-state checkpointers and cross-thread stores Choose a persistence backend and identify each thread correctly CrewAI Flows Stateful event-driven flow methods and @persist Decide what state is persisted and how a run is resumed or forked Dapr Workflow / Dapr Agents Durable workflow execution, activities, and agent integration Operate the workflow runtime and its supporting state infrastructure LangGraph’s persistence guide distinguishes thread-scoped checkpoints from cross-thread stores. Its in-memory saver loses checkpoints on process restart; persistence must match the failure you want to survive. ...