Research on Private Network Architecture and Key Technologies for Enterprise Multi-Agents Collaboration

HAN Zhengxin; HE Tao; HAN Mengyao; PANG Ran; CAO Chang; TANG Xiongyan

doi:10.11959/j.issn.1000-0801.DXKX260108

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Research on Private Network Architecture and Key Technologies for Enterprise Multi-Agents Collaboration

更新时间：2026-05-07

- Research on Private Network Architecture and Key Technologies for Enterprise Multi-Agents Collaboration
- Telecommunications Science (2026)
- 作者机构：
  
  中国联合网络通信有限公司研究院，北京 100048
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.DXKX260108
  CLC： TP393
- Received：13 February 2026，
  
  Revised：2026-05-07，
  
  Accepted：07 May 2026，
- 稿件说明：
移动端阅览
HAN Zhengxin, HE Tao, HAN Mengyao, et al. Research on Private Network Architecture and Key Technologies for Enterprise Multi-Agents Collaboration[J/OL]. Telecommunications Science, 2026.
DOI：

HAN Zhengxin, HE Tao, HAN Mengyao, et al. Research on Private Network Architecture and Key Technologies for Enterprise Multi-Agents Collaboration[J/OL]. Telecommunications Science, 2026. DOI： 10.11959/j.issn.1000-0801.DXKX260108.

摘要

人工智能正从以大模型为主导的阶段向自主协同的智能体方向演进。针对企业数字化转型中多智能体规模化协同面临的核心挑战，聚焦企业及园区应用场景，探索性地提出以“智能体网关”为核心枢纽的专网架构，研究涵盖智能体标识与注册、能力发现、高效通信以及安全协同的关键技术体系，并创新性地提出基于IPv6地址的智能体标识与语义路由机制。该架构依托智能体网关，通过网络层与应用层能力协同，实现异构智能体的可信接入、能力发现与高效协作，为企业及园区级智能体协同提供技术参考与实践路径。

Abstract

Artificial intelligence (AI) is evolving from a stage dominated by large language models (LLMs) towards autonomously collaborative AI agents. To address the core challenges of large-scale multi-agent collaboration in enterprise digital transformation

focusing on enterprise and park application scenarios

an AI agent private network architecture with "AI agent gateway" as the core hub was exploratorily proposed. The key technology system covering AI agent identification and registration

capability discovery

efficient communication

and secure collaboration was studied

and an AI agent identification and semantic routing mechanism based on IPv6 addresses was innovatively proposed. Relying on the AI agent gateway

the architecture realizes trusted access

capability discovery

and efficient collaboration of heterogeneous AI agents through the collaboration between network layer and application layer capabilities

providing technical reference and practical paths for enterprise-level multi-agent collaboration.

关键词

Keywords

references

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