{
  "id": 6523621,
  "title": "What Should an Agent Forget? Separating What Is Stored from What Is Used",
  "url": "https://urgent.news/2026/09/09/what-should-an-agent-forget-separating-what-is-stored-from-what-is",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-09T14:48:09.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.10263v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Persistent language agents need stored experience to remain available across time, while each answer requires evidence suited to a particular question. A superseded fact can mislead a current-state answer and still be essential for a historical query. We present RD-Forget, a training-free framework that separates what an agent stores from what it uses. A retained source archive preserves…",
  "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."
}