Agent-as-a-Service based on Agent Network

• URL: http://arxiv.org/abs/2505.08446v1
• Date: Tue, 13 May 2025 11:15:19 GMT
• Title: Agent-as-a-Service based on Agent Network
• Authors: Yuhan Zhu, Haojie Liu, Jian Wang, Bing Li, Zikang Yin, Yefei Liao,
• Abstract summary: We propose Agent-as-a-Service based on Agent Network (A-AN), a service-oriented paradigm grounded in the Role-Goal-Process-Service (RGPS) standard.<n>A-AN unifies the entire agent lifecycle, including construction, integration, interoperability, and networked collaboration.<n>We release a dataset containing 10,000 long-horizon multi-agent to facilitate future research on long-chain collaboration in MAS.
• Score: 9.5094423572869
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• Abstract: The rise of large model-based AI agents has spurred interest in Multi-Agent Systems (MAS) for their capabilities in decision-making, collaboration, and adaptability. While the Model Context Protocol (MCP) addresses tool invocation and data exchange challenges via a unified protocol, it lacks support for organizing agent-level collaboration. To bridge this gap, we propose Agent-as-a-Service based on Agent Network (AaaS-AN), a service-oriented paradigm grounded in the Role-Goal-Process-Service (RGPS) standard. AaaS-AN unifies the entire agent lifecycle, including construction, integration, interoperability, and networked collaboration, through two core components: (1) a dynamic Agent Network, which models agents and agent groups as vertexes that self-organize within the network based on task and role dependencies; (2) service-oriented agents, incorporating service discovery, registration, and interoperability protocols. These are orchestrated by a Service Scheduler, which leverages an Execution Graph to enable distributed coordination, context tracking, and runtime task management. We validate AaaS-AN on mathematical reasoning and application-level code generation tasks, which outperforms state-of-the-art baselines. Notably, we constructed a MAS based on AaaS-AN containing agent groups, Robotic Process Automation (RPA) workflows, and MCP servers over 100 agent services. We also release a dataset containing 10,000 long-horizon multi-agent workflows to facilitate future research on long-chain collaboration in MAS.

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