{
  "id": 12342,
  "url": "https://arxiv.org/abs/2607.18975v1",
  "title": "Mi-Memory: A Lifecycle Memory Framework for Personal AI",
  "summary": "Personal AI is moving beyond chat-only interaction toward continuous services that span phones, cars, homes, wearables, cameras, and tools. In this setting, memory cannot remain a cache of prior conversations. It should serve as a continuity and governance substrate: preserving durable user state, grounding answers in multimodal and device evidence, supporting correction and forgetting, bounding policy evolution, and remaining deployable under latency, cost, privacy, and edge-cloud constraints.",
  "authors": "Xule Liu, Hanlin Teng, Chao Li, Yanan Ni, Shuo Lu, Audrey Wang et al.",
  "category": "research",
  "topics": "regulation,privacy-surveillance",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-21T11:10:38.000Z",
  "fetched_at": "2026-07-22T05:10:49.469Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/12342",
  "original_url": "https://arxiv.org/abs/2607.18975v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}