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LangGraph vs CrewAI

A head-to-head look at LangGraph and CrewAI across pricing, features, strengths, and weaknesses.

FeatureLangGraphCrewAI
Editorial score★ 4.6 / 5★ 4.5 / 5
PricingFree and open sourceFree and open source
Pros
  • +Reliable, controllable agent workflows
  • +Good for complex, stateful agents
  • +First-class persistence, streaming, and human-in-the-loop
  • +Intuitive multi-agent modeling
  • +Fast to prototype crews
  • +Role-based crews that mirror real team structures
Cons
  • −More concepts to learn
  • −Graph abstraction is overkill for simple prompts
  • −Fast-moving API; docs can lag behind
  • −Multi-agent adds complexity and cost
  • −Harder to debug when many agents interact
  • −Cost multiplies with each agent you add
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Editor’s verdict

LangGraph provides fine-grained state machine-based orchestration for complex, cyclic agent workflows; CrewAI offers a simpler, role-based multi-agent framework where agents collaborate as a team. Choose LangGraph for maximum control over complex agent state transitions; choose CrewAI for quick multi-agent setups with clear role separation.

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