Verified80% confidenceFactTime unknown
ReAct (Reasoning + Acting) is an Agent paradigm proposed by Google in 2022, whose core idea is to have large models alternate iteratively between reasoning and acting.
64
Sources
80%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Spring AI实战：手撸Text-to-SQL助手Agent工具链开发全解析
bilibilijava架构师徐庶
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Related Claims
UnverifiedThe think-act loop theory of Agent Loop originates from the ReAct (Reasoning + Acting) paradigm jointly proposed by Google and Princeton University in 2022.81% similarVerifiedThe ReAct paradigm proposed by Yao et al. in 2023 has the model alternately perform Thought and Action steps, establishing the basic working mode of modern Agents.79% similarVerifiedReAct is a core LLM Agent paradigm proposed by Google and Princeton University in 2022, which interleaves the reasoning process with external tool calls to form a think-act-observe closed loop.78% similarVerifiedThe ReAct (Reasoning + Acting) paper published in 2022 demonstrated that having LLMs alternate between reasoning and acting can significantly improve task completion rates, laying the design foundation for current mainstream agent frameworks.78% similar
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