Verified70% confidenceSolutionExact time
LLM-based agent frameworks typically adopt design patterns such as ReAct (Reasoning + Acting) or Plan-and-Execute.
4
Sources
70%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
AI智能体玩游戏：娱乐背后的技术价值与研究意义
Related Claims
UnverifiedAgent architecture forms such as ReAct, AutoGen, and LangGraph formalize the perception-reasoning-action loop, allowing the LLM to focus on planning and orchestration.81% similarUnverified任务规划（Planning）主流方案包括 ReAct（推理-行动交替）、Tree of Thoughts（思维树）和基于 LLM 的动态计划生成81% similarUnverifiedLLM作为调度中枢的设计模式被称为ReAct（Reasoning + Acting）框架78% similarUnverifiedThe core idea of ReAct is to have LLMs perform explicit reasoning before generating actions, and to feed execution results back to the model as observations to form a closed loop.77% similar
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