Empowered by advances in large language models, the growing integration of autonomous agents into industrial and daily-life sectors is turning them into new networking entities. Such agent-oriented networking features high interaction frequencies and emergent task-driven structures, necessitating strong network policy consistency and reliability within dynamic environments. To address these challenges, we propose a network control system that integrates Intent-Driven Network (IDN) into Heterogeneous Agent-Oriented Networking (HaoNet). IDN focuses on high-level task intents and provides flexible reconfiguration and adaptive optimization, thereby enhancing the effectiveness of agent-oriented networking. In this paper, we first summarize three key features of HaoNet: task-driven operation, distributed collaboration, and closed-loop intelligence. Furthermore, we propose a comprehensive system architecture, which includes the application layer, the intent layer, and the infrastructure layer, and investigate the associated key technologies. Finally, typical application scenarios are presented to demonstrate the practical value of the proposed system in enabling robust agent-oriented networking control.

With the rapid advancement of generative artificial intelligence (AI) and large language model (LLM) technologies, AI agents are gradually becoming the core service units in networks, and their communication mode is evolving from local collaboration to wide-area interconnection. The construction of the Internet of Agents (IoA) faces multiple challenges, such as identity management, dynamic networking, and semantic routing, which urgently requires the design of a network protocol system that adapts to its new traffic characteristics and collaboration needs. Based on the application scenarios of agent communication, this paper systematically analyzes the management, control, and routing requirements that multi-agent collaboration imposes on IP networks, proposes a three-layer functional architecture for the IoA, and designs a protocol suite covering management, control, and routing around key issues such as agent registration and identification, service discovery, capability sensing, and cross-domain traffic assurance. By extending existing Internet protocols and introducing a semantically aware routing mechanism, this paper provides a scalable, efficient, and secure approach to implementing a protocol for end-to-end agent collaboration, thereby contributing to the construction of an open, large-scale agent collaboration ecosystem.