{
  "id": 66891,
  "title": "Beyond Retrieval: Analytic Memory for Multimodal Agents",
  "url": "https://urgent.news/2026/07/31/beyond-retrieval-analytic-memory-for-multimodal-agents",
  "topic": "ai",
  "section": "AI",
  "published": "2026-07-31T14:07:12.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2607.29440v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Long-term multimodal memory must support not only retrieving relevant information but also computing over observations accumulated across interactions. Existing systems largely emphasize \\emph{retrieval memory}, organizing interaction histories through summaries and indexes to return query-relevant information at multiple granularities, from high-level abstractions to underlying records. In this…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}