Verified80% confidenceFactTime unknown

ReAct模式由Yao等人在2022年发表的论文《ReAct: Synergizing Reasoning and Acting in Language Models》中正式提出

56

Sources

80%

Confidence

Long-term

Relevance

6/1/2026

First Seen

Sources

AI Agent开源课程：36章从ReAct到Claude Code全栈实战指南

githubCallous-0923

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UnverifiedLangChain Agent的核心推理框架源自2022年Google发表的ReAct论文（Reasoning and Acting in Language Models）75% similar UnverifiedLong的交互假说强调在有意义的交互中获得纠正性反馈是语言发展的关键机制70% similar

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