CrewAI vs AutoGen:多 Agent 框架怎么选
最后更新:2026-05-10
📋 一句话结论
如果你要快速搭建“角色+任务+团队”的业务 agent,选 CrewAI;如果你要更底层的多 agent 对话控制和研究型工作流,选 AutoGen。
| 对比维度 | CrewAI | AutoGen | 胜者 |
|---|---|---|---|
| Free tier | Open-source framework; pay only for model APIs | Open-source framework; pay only for model APIs | 🤝 平手 |
| Mental model | Role, goal, task and crew definitions | Conversable agents and message flows | ✅ CrewAI |
| Flexibility | Opinionated crew workflow | Lower-level conversation orchestration | ✅ AutoGen |
| Setup | Python package, agents/tasks/crew config | Python package, agent configs and conversation patterns | 🤝 平手 |
| Best examples | Research crews, content workflows, business agents | Code execution, tool use, multi-agent chat systems | 🤝 平手 |
| Production fit | Good for structured role workflows | Good for custom agent infrastructure | 🤝 平手 |
Free tier 平手
CrewAI Open-source framework; pay only for model APIs
AutoGen Open-source framework; pay only for model APIs
两者软件本身免费
Mental model CrewAI 胜
CrewAI Role, goal, task and crew definitions
AutoGen Conversable agents and message flows
CrewAI 对新手更直观
Flexibility AutoGen 胜
CrewAI Opinionated crew workflow
AutoGen Lower-level conversation orchestration
AutoGen 更灵活
Setup 平手
CrewAI Python package, agents/tasks/crew config
AutoGen Python package, agent configs and conversation patterns
都需要 Python 和 API key
Best examples 平手
CrewAI Research crews, content workflows, business agents
AutoGen Code execution, tool use, multi-agent chat systems
场景不同
Production fit 平手
CrewAI Good for structured role workflows
AutoGen Good for custom agent infrastructure
复杂生产系统也可考虑 LangGraph
📊 详细分析
Free tier 平手
两者软件本身免费
Mental model CrewAI
CrewAI 对新手更直观
Flexibility AutoGen
AutoGen 更灵活
Setup 平手
都需要 Python 和 API key
Best examples 平手
场景不同
Production fit 平手
复杂生产系统也可考虑 LangGraph