{
  "id": 18252108,
  "title": "SUMONE: A Simple and Efficient Summarizer for Plug-and-Play Agent Memory",
  "url": "https://urgent.news/2026/11/04/sumone-a-simple-and-efficient-summarizer-for-plug-and-play-agent",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-04T12:49:07.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.06445v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Long-horizon language-model agents accumulate increasingly large interaction histories, making context compaction essential for efficient execution. Existing learned compaction methods often rely on downstream task outcomes or solver behavior, coupling training to specific tasks or agents. We introduce SumOne, a standalone summarizer trained to preserve information in agent histories through…",
  "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."
}