VibeLifeBench: Can Your Life Agent Be Proactive and Persistent in a Living World?
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
Record details
Published: 11 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 12 August 2026
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ethics.ai (11 August 2026), “VibeLifeBench: Can Your Life Agent Be Proactive and Persistent in a Living World?,” evidence record 18660, https://ethics.ai/record/18660 (originally published by arXiv cs.AI).
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