Five teams. Twenty agents. Three frameworks. No one knows which agents talk to which — or what happens when one team's "minor update" silently breaks four downstream consumers. If this sounds familiar, it should: it's the same discovery and compatibility crisis that hit APIs a decade ago. The difference is that agents evolve faster, fail more silently, and have no contract layer by default.

In this session, I'll show how to apply proven registry-based governance patterns to AI agents using the A2A (Agent-to-Agent) Protocol. In a live demo, you'll see agents publishing discoverable Agent Cards to a central registry, negotiating capabilities at runtime, and failing fast when a breaking change is detected — all before reaching production. The demo uses Apicurio Registry (CNCF sandbox) as the governance backbone, but the patterns apply to any registry infrastructure.

Attendees will walk away with:
- A governance architecture for agent discovery, versioning, and deprecation using A2A Agent Cards
- Concrete patterns for enforcing compatibility rules across independently evolving agents
- A clear comparison of where A2A, MCP, and traditional API governance overlap and diverge