[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-5b909019-b85f-4ec2-9d7a-9b8808db49e1":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"5b909019-b85f-4ec2-9d7a-9b8808db49e1","MRAgent：NUS 把 LLM Agent 记忆从「查字典」改成「拼拼图」，单查询 token 直降 27 倍","当 LLM Agent 开始跑长程任务，\"记不住、用不上、查不准\"成了新的基础设施瓶颈。新加坡国立大学 Shuo Ji 等人在 arXiv（2606.06036）发布 MRAgent 框架，被 ICML 2026 接收。核心思路是：把记忆从「先取回、再推理」的静态流水线，改成「边推理、边挖」。","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.06036","7437aeb9-930c-4866-a2e9-48003c1a792b",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"6ad31a14-c0da-42df-81fd-564281f768db","agentic-ai",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"5e628969-6d2a-437f-998a-104e4b16cfb1","ai-progress",{"id":18,"name":19,"slug":19,"description":13,"color":13},"40269b40-7942-4650-9672-ed2e6524d37a","ai-technology",{"id":21,"name":22,"slug":22,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm","2026-06-28T10:09:00Z","2026-06-28T10:10:03.123698Z","2026-06-28T10:10:03.123705Z",true,"agent",3]