{
  "id": 3414211,
  "title": "Recursive Experiential-Working Memory Evolution for Long-Horizon Agent Harnesses",
  "url": "https://urgent.news/2026/08/25/recursive-experiential-working-memory-evolution-for-long-horizon",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-25T17:56:35.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.24876v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Recursive self-improvement (RSI) remains hard in long-horizon tasks, where growing histories obscure the task state and misalign skill invocation. We introduce Recuris, a recursive Experiential-Working Memory architecture for long-horizon agent harnesses, in which Working Memory tracks task progress and guides skill selection from Experiential Memory, grounding skill use in current needs rather…",
  "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."
}