Verified75% confidenceFactTime unknown
The 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.
5
Sources
75%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Java开发者转型AI Agent实战指南：技术选型、架构设计与简历包装
bilibilijava架构师徐庶
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Related Claims
VerifiedReAct (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.78% similarUnverifiedAgentic tools introduce the ReAct (Reasoning + Acting) framework, forming a complete perception-planning-execution closed loop.77% similarUnverifiedThe key technological leaps in modern Agent systems are reflected in the maturation of tool calling, chain-of-thought reasoning, and the ReAct framework.77% 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.77% similar
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