Agentic Resource Discovery: Let agents search for tools, skills, and other agents.
Blog post from HuggingFace
Agentic Resource Discovery (ARD) is an open specification developed collaboratively by industry leaders like Microsoft, Google, and Hugging Face, designed to enhance how AI agents find and connect to tools, skills, and other agents across the web. Unlike the traditional model that requires pre-installation of capabilities, ARD enables dynamic and intent-based search through federated registries, allowing agents to discover and utilize capabilities at runtime. The specification introduces a static manifest format, ai-catalog.json, and a dynamic registry API for live, ranked discovery, facilitating a shift from static catalogs to a more flexible and scalable system. Hugging Face's implementation of ARD demonstrates this approach by allowing its Discover Tool to provide search access to various skills and applications, integrating seamlessly with existing services and supporting different media types. The focus on verification ensures that the capabilities found are trustworthy, emphasizing the importance of verifying publisher identity to prevent unauthorized or tampered interactions.