MRAgent：基于图结构与主动重构的大模型记忆框架 AI像人脑一样重建记忆

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MRAgent 大型语言模型代理框架，旨在解决人工智能在处理长时记忆和复杂推理时存在的局限性。与传统的被动检索（如 RAG）不同，该框架引入了受认知神经科学启发的主动重构机制。研究人员通过构建由查询词、标签和内容组成的结构化记忆图谱，使 AI 能够像人类大脑一样，根据中间证据动态调整搜索路径。实验结果表明，这种多步推理与关联记忆相结合的模式，能以更低的计算成本显著提升模型在长文本理解中的准确性。总之，MRAgent 证明了记忆不应只是简单的静态读取，而是一个通过推理不断进行动态重构的过程。

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MRAgent：基于图结构与主动重构的大模型记忆框架 AI像人脑一样重建记忆

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