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CrabOS: An Operating System for Human-AI Co-inhabitation — arXiv:2608.28165

Source: arXiv (en)
Original: https://arxiv.org/abs/2608.28165
License (as archived): CC0-1.0
Archived: 2026-10-17T10:47:29.140Z
SHA-256 of the archived text: 53b274dce3d348d145fe16d1d231fb9b0889ca7157833b56e201aac002c7582f
Stable URL of this page: https://metraipolis.com/documento/dc_64aea4fef801

How to cite

CrabOS: An Operating System for Human-AI Co-inhabitation — arXiv:2608.28165 — arXiv (en), https://arxiv.org/abs/2608.28165 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_64aea4fef801 (Metraipolis archive dc_64aea4fef801, sha256 53b274dce3d348d145fe16d1d231fb9b0889ca7157833b56e201aac002c7582f)

BibTeX

@misc{dc64aea4fef801,
  title = {CrabOS: An Operating System for Human-AI Co-inhabitation — arXiv:2608.28165},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2608.28165},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_64aea4fef801; sha256 53b274dce3d348d145fe16d1d231fb9b0889ca7157833b56e201aac002c7582f},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2608.28165. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

AI agents are evolving into long-running computational entities that can invoke tools, maintain memory, and complete complex tasks across applications. In real-world settings, completing a task often requires humans and AI to take turns leading its execution. Such alternation depends on the seamless handoff of the work state of the task between humans and AI. Existing agent systems, however, provide humans and AI with separate work environments. AI agents must therefore rely on additional bridges to continue work: either developers build task-specific interfaces to access the work state, or users manually transfer relevant parts of it through screenshots or textual descriptions. Both approaches make handoffs costly and scale poorly. We propose Human-AI Co-inhabitation, a type of work environment that enables humans and AI to seamlessly take turns continuing work on the same task, and design and implement CrabOS to realize this concept. CrabOS represents the work state as natural-language-readable text objects shared by humans and AI, allowing both to access and manipulate it directly through the same auditable interface without bridges. Case studies show that CrabOS elevates support for complex tasks with alternating human and AI leadership from bridge-dependent application-level solutions to native operating-system capabilities, which provide a new foundation for developing and running AI agents.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-08-31 in cs.AI).
Categorie arXiv: Artificial Intelligence (cs.AI) ; Human-Computer Interaction (cs.HC); Operating Systems (cs.OS).
Pagina del lavoro: https://arxiv.org/abs/2608.28165 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-17T10:33:42.396Z dalla pagina https://arxiv.org/catchup/cs.AI/2026-08-31?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).