KAOS: Large Model Multi-Agent Operating System
<|reference_start|>KAOS: Large Model Multi-Agent Operating System: 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.<|reference_end|>
@article{zhuo2024kaos:,
    title={KAOS: Large Model Multi-Agent Operating System},
    author={Zhao Zhuo, Rongzhen Li, Kai Liu, Huhai Zou, KaiMao Li, Jie Yu, Tianhao
  Sun, Qingbo Wu},
    journal={arXiv preprint arXiv:2406.11342},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.11342},
    primaryClass={cs.MA}
}