As telecom networks continue to expand in scale

traditional manual operation and maintenance management models have become inadequate to meet the demands of efficient network operations. Domestic and international operators are accelerating the construction of L4 high-level autonomous networks. Network management agents (refer to “AI agents for network management” )

as the core enabling technology driving network intelligence upgrade

have become a hot topic in industrial research and application. However

the industry has not yet reached a consensus on the capability boundaries

functional architecture

interaction interfaces

and multi-agent collaboration of network management agents

which restricts large-scale deployment. This paper focuses on the concept connotation and key technologies of network management agents. It systematically reviews the generic functional architecture

workflow

deployment modes

and interaction interface schemes of agents

comparatively analyzes the characteristics and applicable boundaries of different multi-agent collaboration architectures and strategies

and clarifies and assesses the current status and development trends of standardization both domestically and internationally. The research results of this paper can provide theoretical support and practical reference for the technological R&D

scenario implementation

and industrial ecological improvement of network management agents

and facilitate the large-scale deployment of autonomous networks.