{
  "id": 4777365,
  "title": "Measure Before You Manage: Evaluating Agent Working Memory in Coding Agents",
  "url": "https://urgent.news/2026/08/31/measure-before-you-manage-evaluating-agent-working-memory-in-coding",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-31T16:34:51.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.31057v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Agent working memory is heterogeneous. Objects such as instructions, artifacts, tool outputs, and agent-generated state play different semantic roles and exhibit different size, retention, and representation profiles. Recent work has begun to explore memory-management mechanisms that account for such heterogeneity. This work focuses on semantic heterogeneity and studies how it should shape 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."
}