Unverified50% confidenceFactExact time
更复杂的Agent系统如ReAct框架和OpenAI的Assistants API在函数调用之上叠加了链式推理、记忆管理和多步规划能力
1
Sources
50%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
UnverifiedThe ReAct framework influenced subsequent Agent engineering frameworks including LangChain's AgentExecutor, AutoGPT's task loop, and OpenAI's Assistants API.81% similarUnverifiedDify、Coze和OpenAI的Agent架构基于ReAct（Reasoning + Acting）框架，模型在每一步先推理再行动再观察79% similarUnverifiedAgent系统通过ReAct、Chain-of-Thought等框架，让大语言模型在多轮循环中逐步分解和解决复杂任务77% similarUnverifiedReAct established the four-component architectural paradigm of "Agent = reasoning module + toolset + memory + environmental feedback."75% similarUnverifiedProduction-grade Agent systems typically involve inference APIs (OpenAI, Anthropic), vector databases (Pinecone, Weaviate), orchestration frameworks (LangChain, LlamaIndex), and external tool sets simultaneously.75% similar
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