cs.AI updates on arXiv.org 10月07日 12:14
AgentHub:构建可靠可扩展的智能体生态系统
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本文提出AgentHub,旨在解决LLM智能体在发现、评估和管理方面基础设施碎片化的问题。通过明确能力、生命周期、互操作性、治理、安全和工作流程集成等关键挑战,AgentHub为构建可靠、可扩展的智能体生态系统制定社区议程。

arXiv:2510.03495v1 Announce Type: cross Abstract: LLM-based agents are rapidly proliferating, yet the infrastructure for discovering, evaluating, and governing them remains fragmented compared to mature ecosystems like software package registries (e.g., npm) and model hubs (e.g., Hugging Face). Recent research and engineering works have begun to consider the requisite infrastructure, but so far they focus narrowly -- on distribution, naming, or protocol negotiation. However, considering broader software engineering requirements would improve open-source distribution and ease reuse. We therefore propose AgentHub, a research agenda for agent sharing. By framing the key challenges of capability clarity, lifecycle transparency, interoperability, governance, security, and workflow integration, AgentHub charts a community-wide agenda for building reliable and scalable agent ecosystems. Our vision is a future where agents can be shared, trusted, and composed as seamlessly as today's software libraries.

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智能体生态系统 AgentHub 软件工程 LLM智能体
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