Unverified50% confidenceFactExact time
Strands Agents 的核心设计借鉴了 ReAct（Reasoning + Acting）范式，让大模型在推理过程中交替进行思考与工具调用
1
Sources
50%
Confidence
Long-term
Relevance
7/16/2026
First Seen
Sources
Related Claims
UnverifiedAgent的Planning模块通常基于思维链CoT或ReAct等推理框架实现79% similarUnverifiedStrands Agents将LLM置于核心位置，让模型本身驱动Agent的决策和行为流程，而非依赖开发者手动编排工作流和状态机77% similarVerifiedAgent的实现通常通过ReAct（Reasoning + Acting）框架来实现规划能力77% similarUnverifiedClaude Code等CLI Agent通过ReAct框架（Reasoning + Acting）实现代理循环，让大模型在每一步先推理再执行工具调用再观察结果76% similar
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