{
  "id": 16296,
  "url": "https://arxiv.org/abs/2608.03214v1",
  "title": "The Agent Operating System (AOS): A Reference Operating Architecture for Distributed Agentic Systems",
  "summary": "Large language models have transformed artificial intelligence from isolated prediction services into components of long-running, distributed systems that reason, invoke tools, retrieve external state, delegate tasks, and act on behalf of users and organizations. The surrounding ecosystem has responded with agent frameworks, workflow engines, model-serving platforms, memory systems, communication protocols, and observability tools. These technologies improve execution, but they do not provide a",
  "authors": "Ankur Sharma, Deep Shah",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-04T06:50:49.000Z",
  "fetched_at": "2026-08-05T05:10:44.550Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/16296",
  "original_url": "https://arxiv.org/abs/2608.03214v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}