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Two National Standards on AI Operating Systems Co-Drafted by CloudWalk Officially Released

2026-10-15
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Two national standards that CloudWalk Technology helped draft, General technical requirements for artificial intelligence operating system (GB/Z 299—2026) and Permission management requirements for artificial intelligence operating system (GB/Z 300—2026), have been officially released.Release ceremony for GB/Z 299—2026 and GB/Z 300—2026

From the Human-Machine Collaborative Operating System (CWOS) to the next-generation Xingyun Agentic OS, CloudWalk Technology has continued to advance core AI operating system technologies and actively contribute to the development of the national standards framework.

Official record of GB/Z 299—2026 showing CloudWalk among the drafting organizationsOfficial record of GB/Z 300—2026 showing CloudWalk among the drafting organizations

The two standards were jointly drafted by the China Electronics Standardization Institute and more than 60 organizations from industry, academia, research and application, including Huawei, ZTE, Xiaomi, UnionTech, Kylinsoft and CloudWalk Technology. They set out requirements for general technologies and permission management respectively, providing standardized guidance for the development, application, collaborative operation and security management of AI operating systems.

From Human-Machine Collaboration to AI Teams: Advancing Operating System Innovation

CloudWalk Technology has accumulated extensive experience in AI operating systems. Its earlier Human-Machine Collaborative Operating System (CWOS) established a technical framework for human-machine collaboration across AI perception, cognition, decision-making and industry applications, with continued practical applications in finance, transportation and urban governance.CloudWalk three-layer AI infrastructure and AI teams architecture

As large models and agent technologies have developed, CloudWalk has introduced Xingyun Agentic OS, extending the role of the operating system from human-machine interaction and collaborative decision-making to multi-agent collaboration and the operational management of AI teams.

Today, Xingyun works with Mofang Agent Lab to organize large models, agents, tools, industry knowledge and business processes. Together, they support task decomposition, multi-agent collaboration, permission management, process monitoring and outcome acceptance, exploring how AI can evolve from individual tools into professional teams that can operate, be managed and continue to grow. Applications are being advanced in AI content production, AI marketing, AI research and development, and corporate functions.

Advancing the AI Operating System Industry Through Standards Development

AI operating systems are becoming an important technological link between underlying model capabilities and higher-level agent applications. As AI increasingly enters enterprises’ core operations, reliable system operation, permission management, security and controllability are becoming more important.

The release of the two standards provides an important basis for technical specifications and security governance for AI operating systems. It also aligns with CloudWalk Technology’s ongoing work in AI infrastructure and agentic operating system technologies.

CloudWalk Technology will continue to build on its technical experience in human-machine collaboration, agentic operating systems and industry applications, actively contribute to the development of the national standards framework, and advance the safe, reliable deployment of AI operating systems at scale across more industries.

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