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
UnverifiedReAct框架影响了LangChain的AgentExecutor、AutoGPT的任务循环以及OpenAI的Assistants API等后续Agent工程框架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 确立了「Agent = 推理模块 + 工具集 + 记忆 + 环境反馈」的四元架构范式75% similarUnverified生产级Agent系统往往同时涉及推理API（OpenAI、Anthropic）、向量数据库（Pinecone、Weaviate）、orchestration框架（LangChain、LlamaIndex）及外部工具集75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/518731API
curl https://kongchang.com/api/v1/knowledge/claims/518731MCP
get_claim(id=518731)