{
  "id": 652,
  "url": "https://arxiv.org/abs/2606.24535v1",
  "title": "Governed Shared Memory for Multi-Agent LLM Systems",
  "summary": "Multi-agent LLM environments require robust mechanisms for shared knowledge management. This paper formalizes the fleet-memory problem and identifies four foundational failure modes: unauthorized leakage, stale propagation, contradiction persistence, and provenance collapse. To address these, we define explicit systems-level primitives: scoped retrieval, temporal supersession, provenance tracking, and policy-governed memory propagation. These primitives are implemented in MemClaw, a production m",
  "authors": "Yanki Margalit, Nurit Cohen-Inger, Erni Avram, Ran Taig, Oded Margalit",
  "category": "research",
  "topics": "regulation,privacy-surveillance,agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-23T13:04:14.000Z",
  "fetched_at": "2026-07-14T14:14:41.551Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/652",
  "original_url": "https://arxiv.org/abs/2606.24535v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}