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arXiv · 2406.11342

KAOS: Large Model Multi-Agent Operating System

Zhao Zhuo·Rongzhen Li·Kai Liu·Huhai Zou·KaiMao Li·Jie Yu·Tianhao Sun·Qingbo Wu
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Abstract

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.

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Zhao Zhuo, Rongzhen Li, Kai Liu, Huhai Zou, KaiMao Li, Jie Yu, Tianhao Sun, Qingbo Wu. 2024-08-09. KAOS: Large Model Multi-Agent Operating System. https://arxiv.org/abs/2406.11342

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