AI Agent Interop 2026 Guide: What Is Agent Interoperability?
AI agent interoperability is the ability of agents from different vendors, platforms, or organizations to discover one another and exchange tasks, status, results, and errors under verifiable identities and constrained permissions. It is not one protocol or product. A2A primarily addresses communication and task coordination between agents. MCP commonly connects models or agents to tools and data sources. The proposed Agent Name Service targets neutral naming, discovery, and authenticity checks. These layers can complement each other, but none replaces authorization, audit logs, human approval, or rollback. A practical interoperability design therefore separates identity, discovery, communication, tool access, and governance, then verifies each layer independently before a cross-agent workflow reaches production.
