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AutoGen vs CrewAI

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

FeatureAutoGenCrewAI
Editorial score★ 4.5 / 5★ 4.5 / 5
PricingFree and open sourceFree and open source
Pros
  • +Battle-tested patterns for agent teamwork
  • +Backed by Microsoft Research
  • +Strong multi-agent conversation patterns for complex workflows
  • +Intuitive multi-agent modeling
  • +Fast to prototype crews
  • +Role-based crews that mirror real team structures
Cons
  • −API surface has evolved quickly across versions
  • −Steeper learning curve than single-agent frameworks
  • −Evolving API means older tutorials go stale quickly
  • −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

AutoGen (Microsoft) emphasizes flexible, multi-agent conversations with human-in-the-loop support and code execution; CrewAI focuses on role-based team orchestration with simpler setup. Choose AutoGen for research-grade multi-agent conversations with maximum flexibility; choose CrewAI for production multi-agent teams with clean role separation.

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