给大模型智能体装上“时间线图记忆”，用证据支撑时序推理，值得AI研究者一读
arXiv:2608.08055v1 Announce Type: new Abstract: Large language model (LLM) agents that assist users over weeks of conversation must remember what is c…
查询感知索引技术，大幅提升智能体记忆系统的检索速度与效率
arXiv:2601.08160v2 Announce Type: replace-cross Abstract: Agentic memory systems have become critical for enabling LLM agents to maintain long-term co…
开源共享智能体记忆系统，让AI代理之间高效共享上下文与知识。
Article URL: https://rcarmo.github.io/projects/memento/ Comments URL: https://news.ycombinator.com/item?id=48984705 Points: 1 # Comments: 0
创新提出图结构记忆让LLM智能体高效积累经验，与模型无关通用性强。
arXiv:2605.30712v1 Announce Type: new Abstract: Large language model (LLM) agents have shown strong capabilities in reasoning, tool use, and multi-ste…
颠覆传统记忆范式，探索LLM智能体如何超越“原子事实”实现终身学习记忆机制。
arXiv:2605.19952v1 Announce Type: new Abstract: To enable reliable long-term interaction, LLM agents require a memory system that can faithfully store…
揭秘LLM智能体记忆系统的隐藏威胁：攻击者如何植入休眠载荷跨会话窃取用户数据。
arXiv:2605.01970v3 Announce Type: replace-cross Abstract: Memory systems enable otherwise-stateless LLM agents to persist user information across sess…