AI Agent Interoperability: China's 7 National Standards Deep Dive
On June 26, 2026, China’s State Administration for Market Regulation released 7 national standards for AI Agent Interoperability, covering reference architecture, identity codes, identity management, agent description, agent discovery, agent interaction, and tool calling. This is China’s first closed-loop standard system for multi-agent collaboration.
1. Introduction: When Agents Start “Talking”
The explosive growth of large language models has evolved AI from “Q&A tools” to “autonomous execution systems”—this is the AI Agent. But before 2026, agents from different companies were like “isolated islands”: Huawei’s agents couldn’t call Alibaba’s tools, ByteDance’s agents had no unified “language” to interact with Tencent’s.
This fragmentation severely constrained the development of multi-agent collaboration. Building cross-vendor agent systems required custom development for each integration—costly, time-consuming, and hard to scale.
The 7 national standards released on June 26, 2026, address precisely this pain point. The standard system covers the full chain: identity identification → capability description → supply-demand discovery → collaborative interaction → tool invocation.
2. The 7 Standards Breakdown
2.1 Standard Architecture
┌──────────────────────────────────────────────────────┐
│ AI Agent Interoperability — 7 National Standards │
├──────────┬──────────┬──────────┬──────────┬──────────┤
│Reference │ Identity │Capability│Interaction│ Tools │
│Architecture│ System │ Layer │ Layer │ Layer │
├──────────┴──────────┴──────────┴──────────┴──────────┤
│ ⑦ Agent Discovery (Directory & Registry) │
└──────────────────────────────────────────────────────┘
Standard 1: Reference Architecture Defines a universal layered architecture: Perception → Decision → Execution → Collaboration. Specifies interface specifications and data flow formats between layers.
Standards 2/3: Identity Code & Identity Management Each agent receives a unique Agent ID (AID) with full lifecycle management (registration → authentication → authorization → deactivation). AIDs are compatible with China’s Unified Social Credit Code system.
Standard 4: Agent Description Defines the Agent Capability Description Language (ACDL) using JSON Schema format to describe agent functions, inputs/outputs, and invocation constraints.
Standard 5: Agent Discovery Defines registration and discovery protocols supporting both “publish-subscribe” and “query-response” modes.
Standard 6: Agent Interaction Defines inter-agent communication protocol (gRPC+Protobuf), supporting synchronous calls, async messaging, and event subscription. Introduces the interaction context concept with complete traceability chain.
Standard 7: Tool Calling Defines standard protocols for agent-external API/tool invocation, unifying registration, parameter mapping, authentication, and result return.
3. Technical Implementation
// Agent Registry Service implementing the national standards
package main
import (
"crypto/ed25519"
"encoding/hex"
"encoding/json"
"fmt"
"sync"
"time"
)
type AgentID struct {
Prefix string `json:"prefix"`
OrgID string `json:"org_id"`
AgentType string `json:"agent_type"`
Serial string `json:"serial"`
}
type Capability struct {
ID string `json:"id"`
Name string `json:"name"`
Description string `json:"description"`
Input json.RawMessage `json:"input"`
Output json.RawMessage `json:"output"`
Constraints map[string]any `json:"constraints,omitempty"`
}
type AgentManifest struct {
AID AgentID `json:"aid"`
Name string `json:"name"`
Version string `json:"version"`
Capabilities []Capability `json:"capabilities"`
AuthEndpoint string `json:"auth_endpoint"`
ServiceAddr string `json:"service_addr"`
Signature string `json:"signature"`
RegisteredAt time.Time `json:"registered_at"`
HeartbeatAt time.Time `json:"heartbeat_at"`
}
type Registry struct {
mu sync.RWMutex
agents map[string]*AgentManifest
pubKey ed25519.PublicKey
privKey ed25519.PrivateKey
}
func NewRegistry() *Registry {
pub, priv, _ := ed25519.GenerateKey(nil)
return &Registry{
agents: make(map[string]*AgentManifest),
pubKey: pub,
privKey: priv,
}
}
func (r *Registry) Register(manifest *AgentManifest) error {
r.mu.Lock()
defer r.mu.Unlock()
aid := manifest.AID.String()
sig, _ := hex.DecodeString(manifest.Signature)
data, _ := json.Marshal(manifest.AID)
if !ed25519.Verify(r.pubKey, data, sig) {
return fmt.Errorf("signature verification failed")
}
manifest.RegisteredAt = time.Now()
manifest.HeartbeatAt = time.Now()
r.agents[aid] = manifest
return nil
}
func (r *Registry) DiscoverByCapability(capID string, limit int) []*AgentManifest {
r.mu.RLock()
defer r.mu.RUnlock()
var results []*AgentManifest
for _, agent := range r.agents {
for _, cap := range agent.Capabilities {
if cap.ID == capID {
results = append(results, agent)
break
}
}
if len(results) >= limit {
break
}
}
return results
}
4. Industry Impact
For large enterprises: Standardization reduces multi-agent system development costs by 50-70%.
For SMBs: Standard components eliminate the need to build agent systems from scratch. Compliance barriers for government procurement are removed.
For government clients: Unified identity authentication + full traceability solves the compliance challenge of “who is responsible when an agent makes a mistake.”
5. Comparison with Global Standards
| Dimension | China National Std | OpenAI MCP | Google A2A | Anthropic MCP |
|---|---|---|---|---|
| Identity | AID+Org Credit Code | API Key | OAuth+Workspace | API Key |
| Capability | ACDL (JSON Schema) | Function Calling | Agent Card | Tool Use |
| Discovery | Registry+Query | None | Agent Registry | None |
| Protocol | gRPC+Protobuf | HTTP/JSON | HTTP/JSON | HTTP/JSON |
| Traceability | Full chain trace | None | Audit Log | None |
China’s standards uniquely integrate identity systems with government procurement compliance—AID compatibility with social credit codes and full-chain traceability mechanisms.
6. Summary
The 7 national standards for AI Agent Interoperability solve three core problems:
- Interoperability: Unified architecture and protocols enable cross-vendor agent communication
- Trust: Unified identity authentication and traceability mechanisms build confidence
- Scalability: Standard components lower barriers for SMBs to enter the agent ecosystem
From “isolated islands” to “interconnected ecosystems,” the AI agent industry is undergoing a qualitative transformation. 2026 marks the “standardization元年” of China’s AI agent industry.
Sources: China releases 7 national standards for AI Agent Interoperability - Xinhua

