Agents

// What MCP, A2A, and ACP cannot express // MCP and A2A solve capability discovery and message passing, then stop right where enterprise dep…

// What MCP, A2A, and ACP cannot express // MCP and A2A solve capability discovery and message passing, then stop right where enterprise deployment begins. New research runs a systematic gap analysis

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// What MCP, A2A, and ACP cannot express // MCP and A2A solve capability discovery and message passing, then stop right where enterprise deployment begins. New research runs a systematic gap analysis of the agent interoperability protocols (MCP, A2A, ACP, ANP, ERC-8004) against a six-dimension governance taxonomy drawn from organizational theory. The dimensions are membership, deliberation, voting, dissent preservation, human escalation, and audit or replay. These protocols support task-oriented coordination but cannot express a governed agent community. You cannot state who gets a vote, how dissent is preserved, or when a human must be escalated to. Paper: https://arxiv.org/abs/2606.31498 Learn to build effective AI agents in our academy: https://academy.dair.ai/

Source: DAIR.AI (X) | 2026-07-06

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