Unverified50% confidenceFactExact time
Mainstream implementation patterns for multi-agent systems include the supervisor-worker pattern (adopted by AutoGen and CrewAI), the peer collaboration pattern, and the debate-verification pattern.
1
Sources
50%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Related Claims
UnverifiedMulti-turn Agent reflection already has mature practices in multi-agent frameworks such as AutoGen and CrewAI.77% similarVerifiedMicrosoft's AutoGen focuses on multi-agent collaborative dialogue, CrewAI focuses on role-playing-style collaboration, while LangGraph places greater emphasis on precise control of complex internal processes within a single Agent76% similarUnverifiedReAct框架将推理与行动交织执行，AutoGen允许多Agent通过对话协作，LangGraph以有状态图结构管理复杂Agent执行流程76% similarPartially VerifiedMainstream Agent frameworks such as LangChain, AutoGen, and CrewAI are all built around the perception-decision-execution loop.75% similarUnverifiedIn multi-agent collaboration frameworks such as AutoGen and CrewAI, different agents are assigned dedicated roles (such as code generator, unit tester, security auditor, and release executor) and collaborate through standardized message-passing protocols.75% similar
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