Registries are discovery infrastructure
An AI registry is more than a list of names. It is a structured public layer that identifies what an asset is, how it should be understood, and what systems should know before interacting with it.
Registries can describe agents, datasets, services, tools, knowledge bases, or even full websites.
Strong listing fields usually include
- Role or purpose
- Audience
- Public URL
- Supported surfaces
- Status and update cadence
- Related glossary terms
- Trust context
Why this matters now
As AI ecosystems fragment, public structure becomes the bridge between them. Registries and directories provide that bridge because they turn isolated assets into comparable records.
What this scaffold supports
The directory structure here already separates collections from entries and groups entries by cluster. That means it can grow from a portfolio into a real registry without changing how the rest of the site links to it.