[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-new-ai-memory-trick-waits-until-it-knows-the-question":10,"sections":35},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":30,"feedback":34,"feedback_at":22,"cost_usd":34,"total_tokens":34},7542,"new-ai-memory-trick-waits-until-it-knows-the-question","New AI Memory Trick Waits Until It Knows the Question","A new research method delays deciding what an AI agent should remember until it already knows the task, and the delay alone boosts performance.","AI agents that learn from experience just got a rethink on when they should decide what to remember.\n\nMost agent memory systems make a permanent decision the moment a task ends: they compress the trajectory into a fixed summary, like a reflection or a reusable skill, then file it away for retrieval later. JitMem, the new method described in the paper, keeps the raw, unprocessed trajectories instead and waits until a new task actually arrives before curating anything. At that point, a curator model builds a compact, task-specific payload from the retrieved traces and the current task. Because that payload is used right away, the curator can be trained on whether it actually helped, not on a guess about future usefulness.\n\nThe gain here comes from timing, not just training: across three agent benchmarks (ALFWorld, WebShop, and tau2-bench), JitMem beat the best existing memory method by 16.2, 16.3, and 3.9 percentage points, and even an untrained version of the curator already matched or beat those baselines. That suggests the real fix for agent memory problems is architectural - deciding when to curate - rather than throwing more reinforcement learning at the write-time summary.\n\nIt's a familiar arc: retrieval systems went through the same shift years ago, trading static, pre-computed chunking for query-aware lookups - though this is one arXiv preprint tested on scripted simulations, not agents loose in the real world.","[\"ai-agents\",\"llm-memory\",\"machine-learning\",\"research\"]","2026-09-24T04:00:00.000Z","2026-09-24T05:21:18.992Z","2026-09-24T05:21:25.834Z","published",null,[],"ai",[26,27,28,29],"ai-agents","llm-memory","machine-learning","research",[31],{"name":32,"url":33},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.27334",0,{"sections":36},[37,40,44,49,54,59,64,69,74,79,84,89,94,99],{"name":38,"slug":24,"count":39,"latest_published_at":18},"AI",4387,{"name":41,"slug":42,"count":43,"latest_published_at":18},"Security","security",720,{"name":45,"slug":46,"count":47,"latest_published_at":48},"Policy","policy",380,"2026-09-23T22:53:43.000Z",{"name":50,"slug":51,"count":52,"latest_published_at":53},"Deals","deals",220,"2026-09-23T22:00:00.000Z",{"name":55,"slug":56,"count":57,"latest_published_at":58},"Hardware","hardware",173,"2026-09-23T23:42:10.000Z",{"name":60,"slug":61,"count":62,"latest_published_at":63},"Science","science",135,"2026-09-23T22:45:49.000Z",{"name":65,"slug":66,"count":67,"latest_published_at":68},"Consumer Tech","consumer-tech",116,"2026-09-24T00:51:49.000Z",{"name":70,"slug":71,"count":72,"latest_published_at":73},"Software","software",85,"2026-09-23T20:00:00.000Z",{"name":75,"slug":76,"count":77,"latest_published_at":78},"Dev Tools","dev-tools",79,"2026-09-22T22:21:13.000Z",{"name":80,"slug":81,"count":82,"latest_published_at":83},"Startups","startups",66,"2026-09-23T17:28:38.000Z",{"name":85,"slug":86,"count":87,"latest_published_at":88},"Gaming","gaming",45,"2026-09-22T15:35:06.000Z",{"name":90,"slug":91,"count":92,"latest_published_at":93},"General","general",43,"2026-09-21T23:48:56.000Z",{"name":95,"slug":96,"count":97,"latest_published_at":98},"Reviews","reviews",27,"2026-09-22T13:00:00.000Z",{"name":100,"slug":101,"count":102,"latest_published_at":103},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]