{
  "id": 8822661,
  "title": "AutoViewMem: Self-Configuring Orthogonal Views for Conversational Long-Term Memory",
  "url": "https://urgent.news/2026/09/18/autoviewmem-self-configuring-orthogonal-views-for-conversational-long",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-18T15:55:29.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.21940v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Long-term memory is essential for large language model (LLM) agents to maintain consistency and personalization over extended interactions. Existing memory systems typically rely on fixed granularities or static schemas, but these designs struggle when heterogeneous information, such as preferences, events, constraints, and temporal updates, is embedded in a single mixed representation. The…",
  "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."
}