China issues seven standards for AI agent interoperability

On 3 July 2026, the Chinese government’s official portal reported the release of seven national standards for the interconnection of AI agent systems. They cover general architecture, identity codes and identity management, agent description and discovery, agent interaction and external tool calling.

This is not another announcement about an individual model. The standards address the layer that becomes critical when businesses move from isolated assistants to systems comprising multiple agents, APIs, databases and application services.

What the official source confirms

The government summary identifies seven areas:

1. the general architecture of agent systems;
2. agent identity codes;
3. identity management;
4. agent capability descriptions;
5. discovery of suitable agents and services;
6. agent interaction;
7. tool calling.

According to China’s State Administration for Market Regulation, the standards establish a closed loop from identity and capability description to service discovery, collaboration and tool use.

Their stated purpose is to let enterprises reuse standard components, reduce customised development and shorten time to market. The announcement also highlights unified identity authentication and full-process traceability.

Why this matters for enterprise systems

A pilot can connect a single agent directly to several APIs. At production scale, harder questions emerge: how the system identifies an agent, where its capability description comes from, who may initiate an action and where the execution history is retained.

Without shared conventions, every integration develops its own identifiers, function descriptions, error formats and audit records. That increases the number of adapters and makes it harder to change suppliers. A standard layer does not remove integration work, but it can establish a common model for recurring operations.

Three areas are particularly important for businesses:

• identity — associating each action with a specific agent and owner;
• capability discovery — selecting an executor through a structured description rather than a hard-coded endpoint;
• traceability — reconstructing the chain of decisions, tool calls and data changes.

These properties support more than developer convenience. They are necessary for access control, incident investigation and evidence of which system performed a particular operation.

What standards do not solve automatically

A shared interface description does not guarantee that every pair of products will interoperate. Implementations still need consistent field semantics, protocol versions, conformance tests and predictable behaviour during partial failures.

The official article does not include the numbers or full text of the seven standards, define whether their use is mandatory or report independent interoperability results. It is therefore too early to claim that all Chinese agent platforms can already work together without adapters.

Standards do not replace a security policy either. Even a correctly identified agent should receive only the permissions it needs, while high-impact actions should require additional checks or human approval.

A practical B2B architecture checklist

Teams designing agent systems today should verify:

1. whether every agent has a stable identifier and accountable owner;
2. whether capability descriptions are separated from implementation details;
3. whether authorisation is checked before every external tool call;
4. whether context is transferred without unnecessary personal or confidential data;
5. whether the initiator, parameters, result and time of each operation are recorded;
6. whether timeouts, retries and idempotency are defined;
7. whether an agent or model can be replaced without rebuilding every business system;
8. which actions require human approval.

Our guide to API integration architecture covers contracts, adapters and failure handling in greater depth. The GigaChat unified API announcement provides an example of placing several models behind one access layer.

What this means outside China

Chinese standards do not automatically become requirements for Russian companies. However, the areas selected for standardisation reveal the problems the industry considers fundamental: identity, discovery, interaction, tool calling and audit.

A sensible approach for Russian development teams is to keep business logic independent of one agent’s internal format. Contracts and adapters should form a separate layer, while security events and execution results should be kept in a common audit trail. This makes future international or industry standards easier to support without rebuilding applications.

Takeaway

The seven standards move the discussion of AI agents from demonstrations toward engineering interoperability and governance. Their practical impact will become clear after the full documents, product implementations and conformance testing are available.

The immediate signal for businesses is already useful: an agent platform should not be designed as a collection of autonomous scripts. It needs managed identity, least-privilege access, stable contracts and end-to-end auditability.

Next step: Logic Telecom can help define integration contracts and an audit layer for agent workflows. Start with one process whose owner, permitted tools and safe cancellation path are known in advance.

Source: the Chinese government’s official 3 July 2026 policy update.