Unverified50% confidenceFactExact time
Agent 能力经历了从基于 ReAct 范式的单步推理到以 LangGraph、AutoGen、Claude Code 为代表的多智能体协作框架的转变
1
Sources
50%
Confidence
Long-term
Relevance
7/7/2026
First Seen
Sources
Agent Skills完全指南：原理、结构与实战应用拆解
bilibili学习的谁不疯7/5/2026
Related Claims
UnverifiedMulti-turn Agent reflection already has mature practices in multi-agent frameworks such as AutoGen and CrewAI.80% similarUnverifiedTypical agentic patterns include ReAct (alternating reasoning and action), Reflection (output self-evaluation and correction), and Multi-Agent Collaboration (division of labor among multiple agents)78% similarUnverifiedAgents possess capabilities for planning, tool invocation, memory, and autonomous iteration, distinguishing them from the single-round question-and-answer mode of traditional large language models.78% similarUnverifiedThe Agent Skill pattern has been widely applied in AI frameworks such as LangChain and AutoGPT.78% similarUnverifiedAgent能力的底层依赖于大语言模型的推理能力（Chain-of-Thought）以及ReAct（Reasoning + Acting）框架77% similar
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