The document establishes technical guidelines for identification codes, tool discovery, and invocation by artificial agents.
China has published a national normative guideline focused on the interconnection of artificial intelligence agents. The country's SAC/TC 28 committee issued the technical reference document GB/Z 185, organized into seven parts, covering everything from identification codes and identity management to the description, discovery, interaction, and invocation of tools by these agents.
The standard's framework seeks to standardize how AI agents identify themselves and operate across networks. According to analyst Ken Huang, the Chinese standard was released in May 2026 and proposes a framework to ensure interoperability between different autonomous systems.
The Chinese initiative anticipates regulatory debates on AI agent governance, a topic still in its early stages in other jurisdictions. Standardizing agent identity is seen as a fundamental step for the control and traceability of these technologies in shared digital environments.
According to Huang, the concept of an identity standard for AI agents had been proposed by him a year before the publication of the Chinese standard. The convergence of ideas indicates that the need to regulate the agent ecosystem is recognized in both technical and regulatory circles.
China's progress in defining technical standards for AI reflects the country's strategy to lead the normalization of emerging technologies. This standardization could influence the development of global protocols and impact companies operating in the artificial intelligence sector.
It is a technical reference document called GB/Z 185, issued by the SAC/TC 28 committee. It establishes guidelines for AI agent identification codes, identity management, and the discovery, interaction, and invocation of tools across networks.
Standardizing agent identity is a fundamental step for ensuring interoperability between different autonomous systems. It also allows for better control, governance, and traceability of AI technologies in shared digital environments.
China's progress in defining these technical standards reflects a strategy to lead the normalization of emerging technologies. This move could influence the development of global protocols and significantly impact companies operating in the artificial intelligence industry.