China’s State Administration for Market Regulation (SAMR) has released the country’s first national standard for AI agent connectivity, establishing a “closed-loop system” with unified identity management for all autonomous agents operating in the country. The standard, titled “Artificial Intelligence Agent Interconnection,” was reported by state broadcaster CCTV, according to the South China Morning Post.

The framework sets out seven sub-standards covering core aspects from overall architecture to identity code establishment and agent tool deployment, according to Biometric Update. SAMR’s stated goal is to “solidify the institutional foundation for secure cross-domain interaction of AI agents.”

What the Standard Covers

The unified framework is designed to let enterprises plug into standardized AI agent components, reducing development costs and shortening product launch cycles, according to CCTV via SCMP. By assigning identity codes to agents and mandating a consistent architecture, the standard creates a national registry that tracks which agents are operating, who deployed them, and what permissions they hold.

The seven sub-standards address: overall architecture, identity code assignment, agent tool deployment, and four additional technical specifications for cross-domain interoperability.

A Growing Pattern of Nation-State Agent Governance

China’s move follows Estonia’s earlier announcement of a plan to assign digital identities to AI agents, as Biometric Update reported. The two approaches reflect different governance philosophies. Estonia’s model extends its existing e-Residency digital identity infrastructure. China’s approach creates a centralized, SAMR-administered framework with mandatory compliance for all agents in the country.

Neither the EU nor the United States has published equivalent national-level standards for AI agent identity. The EU AI Act regulates AI systems by risk tier but does not mandate a unified agent identity registry. In the US, agent identity governance remains fragmented across private-sector initiatives.

The Enterprise Calculus

The standard’s immediate practical effect is reducing friction for Chinese enterprises deploying multi-agent systems. Without standardized identity, each agent-to-agent interaction requires custom authentication, creating overhead that scales poorly. A unified framework lets enterprises build once against a national specification rather than negotiating bilateral trust arrangements.

The trade-off is centralized visibility. Every agent registered under the framework is traceable to its deploying organization, creating an audit trail that serves both security and regulatory enforcement purposes.