# KAOS: Large Model Multi-Agent Operating System

arXiv: https://arxiv.org/abs/2406.11342 · HTML: https://mlsanity.com/paper/2406.11342/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 Jun 2024.

## Built on by (most cited first, 3 of 3)

- [OSCAR: Operating System Control via State-Aware Reasoning and Re-Planning](https://mlsanity.com/paper/2410.18963/) (2024)
- [From Craft to Constitution: A Governance-First Paradigm for Principled Agent Engineering](https://mlsanity.com/paper/2510.13857/) (2025)
- [AgentKernel: The Trust-Native Agentic Operating System](https://mlsanity.com/paper/2609.29647/) (2026)

## Abstract (arXiv)

The intelligent interaction model based on large models reduces the differences in user experience across various system platforms but faces challenges in multi-agent collaboration and resource sharing. To demonstrate a uniform user experience across different foundational software platforms and address resource coordination management challenges, this paper proposes KAOS, a multi-agent operating system based on the open-source Kylin. The research method involves empowering agents with large models to serve applications. First, by introducing management role agents and vertical multi-agent collaboration to construct or replace typical application software. Second, by studying system-level shared resource scheduling strategies to enhance user experience and optimize resource utilization. And finally, by validating the efficiency and superiority of the large model multi-agent operating system through real applications and scoring intelligence. The feasibility of this system is demonstrated, providing a new perspective for the development of multi-agent operating systems. Experimental results show significant advantages of multi-agent collaboration in various application scenarios.