{
  "id": 4458,
  "url": "https://arxiv.org/abs/2605.12239v1",
  "title": "Harness Engineering as Categorical Architecture",
  "summary": "The agent harness, the system layer comprising prompts, tools, memory, and orchestration logic that surrounds the model, has emerged as the central engineering abstraction for LLMbased agents. Yet harness design remains ad hoc, with no formal theory governing composition, preservation of properties under compilation, or systematic comparison across frameworks. We show that the categorical Architecture triple (G, Know, Phi) from the ArchAgents framework provides exactly this formalization. The fo",
  "authors": "Bogdan Banu",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-12T15:09:46.000Z",
  "fetched_at": "2026-07-14T16:30:59.239Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4458",
  "original_url": "https://arxiv.org/abs/2605.12239v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}