Unverified50% confidenceConceptExact time
ReAct is a prompting and execution pattern and does not necessarily equal an agent by itself—if the number of loops and the tool set are hard-coded, it is closer to a workflow with tools; only when the model genuinely decides dynamically what to do next based on intermediate observations does the ReAct loop form the skeleton of an agent.
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Long-term
Relevance
10/13/2026
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Related Claims
UnverifiedAgent的失败-修正-再尝试过程被称为ReAct(Reasoning + Acting)模式或反思循环78% similarUnverifiedGoal mode is essentially an engineering-level encapsulation of the ReAct (Reasoning + Acting) loop.77% similarUnverifiedReAct强调单步推理-行动的紧密耦合,适合短链任务;AutoGPT类框架倾向先规划完整任务树再批量执行,适合长链任务72% similarUnverified推理-行动循环(ReAct Loop)可以持续多轮,AI分析状态、决定调用工具、获取结果后再规划下一步直至任务完成72% similarUnverifiedThe ReAct reasoning chain exhibits two types of runaway behavior in actual use: thinking without acting (reasoning stalls at the thinking stage), and acting inconsistently with thinking (thinking calls tool A but actually calling tool B).71% similar
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