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ReAct、AutoGen、LangGraph等Agent架构形式化了感知-推理-行动循环，使LLM专注于规划与编排

1

Sources

50%

Confidence

Long-term

Relevance

7/10/2026

First Seen

Sources

别把LLM当默认执行引擎：认清能力边界，构建稳健AI架构

hackernewshackernews7/7/2026

Related Claims

Verified基于LLM的智能体框架通常采用ReAct（推理+行动）或Plan-and-Execute等设计模式81% similar UnverifiedReAct 核心思想是让 LLM 在思考、行动、观察的循环中完成复杂任务79% similar Unverified基于LLM的现代Agent以大语言模型为大脑，通过ReAct、Plan-and-Execute等范式自主规划步骤、调用外部工具并根据反馈动态调整策略77% similar UnverifiedReAct的核心思想是让LLM形成Thought→Action→Observation的循环76% similar UnverifiedLLM作为调度中枢的设计模式被称为ReAct（Reasoning + Acting）框架76% similar

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