AgentHub: A Research Agenda for Agent Sharing Infrastructure
This work addresses the problem of inefficient agent ecosystems for researchers and developers, but it is incremental as it builds on existing infrastructure concepts.
The paper tackles the fragmented infrastructure for LLM-based agents by proposing AgentHub, a research agenda to address challenges like capability clarity and governance, aiming to enable seamless sharing and composition of agents similar to software libraries.
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.