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 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.

翻译：基于大模型的智能交互模式降低了用户在不同系统平台间的体验差异，但面临多智能体协作与资源共享的挑战。为在不同基础软件平台上实现统一的用户体验并解决资源协调管理难题，本文提出一种基于开源麒麟系统的多智能体操作系统。研究方法通过大模型赋能智能体以服务应用程序：首先引入管理角色智能体与纵向多智能体协作来构建或替代典型应用软件；其次研究系统级共享资源调度策略以提升用户体验并优化资源利用率；最后通过实际应用与智能评分验证大模型多智能体操作系统的效能与优越性。该系统可行性得到验证，为多智能体操作系统发展提供了新视角。实验结果表明多智能体协作在多种应用场景中具有显著优势。