Expired75% confidenceFactExact time
The ReAct pattern has become the core design foundation of mainstream Agent frameworks such as LangGraph and CrewAI
5
Sources
75%
Confidence
Medium-term (~90 days)
Relevance
7/7/2026
First Seen
Valid until: 10/5/2026(expired)
Sources
Loop Engineering：AI Agent循环工程全面解析
bilibiliAI大模型升升7/6/2026
Related Claims
UnverifiedLangGraph 支持 ReAct、Plan-and-Execute 等主流 Agent 架构模式，允许节点之间存在条件分支、循环和并行执行路径83% similarUnverifiedLangChain的核心设计理念是将大模型调用抽象为可组合的「链」（Chain），并引入ReAct（Reasoning + Acting）范式79% similarVerifiedThe Agent implementations in mainstream frameworks such as LangChain and AutoGPT are essentially variants or extensions of the ReAct paradigm.78% similarUnverifiedMainstream frameworks such as LangChain and LlamaIndex encapsulate ReAct as a standard Agent executor, allowing developers to register tool descriptions so the model can autonomously decide when to invoke them.78% similar
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