{
  "id": 18381,
  "url": "https://arxiv.org/abs/2608.10875",
  "title": "VibeLifeBench: Can Your Life Agent Be Proactive and Persistent in a Living World?",
  "summary": "Large language model (LLM) agents are increasingly deployed as personal assistants. Existing evaluations, however, mostly use short, self-contained requests in static environments. Everyday life assistance is different. A task runs for weeks rather than minutes. The world keeps changing while the agent is not being prompted. Many constraints are never stated outright. An agent that merely answers the request in front of it will fail at such a task. What is needed instead is an agent that stays p",
  "authors": "Xiaohongshu Inc",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-10T20:00:00.000Z",
  "fetched_at": "2026-08-12T05:10:43.828Z",
  "source_slug": "hf-daily",
  "source_name": "HuggingFace Daily Papers",
  "source_homepage": "https://huggingface.co/papers",
  "ethics_ai_record_url": "https://ethics.ai/record/18381",
  "original_url": "https://arxiv.org/abs/2608.10875",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}