The transition from isolated AI assistants to open networks has hit a structural dead end: a lack of trust. As Jinliang Xu of the China Academy of Information and Communications Technology notes, agents are evolving from local tools into networked players that delegate tasks and manage complex contexts. The problem is that the current tech stack cannot verify an agent's identity or credentials before a session begins. Without a shared infrastructure to confirm a participant's status in real-time, the ecosystem is destined for fragmentation.
A Technical Trust Layer
The Open Agent Network (OAN) project proposes a solution—a protocol-neutral trust layer. Rather than replacing existing frameworks like MCP or ANP, it sits on top of them. The OAN architecture relies on a two-tier model: root admission control and a registrar. This ensures that discovery services only "see" authorized agents, and the calling party verifies digital signatures before any business logic is executed.
The focus is shifted exclusively to the pre-connect phase—identification and lifecycle management. Task semantics and model orchestration remain at higher levels of the stack. Compatibility is ensured across various execution environments.
Security for Enterprise
For businesses, this technical substrate resolves the issue of liability when delegating tasks to external systems. Jinliang Xu emphasizes that in the future, everyone from research institutes to industrial operators will launch agents using different gateways. Implementing blockchain-based authorization bulletins and signed calls allows companies to safely extend their reach beyond their own platforms.
We are finally moving from "blind discovery" to managed admission, where every network participant is verified.
The industry spent years polishing the communication skills of AI agents, only to realize we lacked a reliable way to check if the agent on the other end has the right to listen to you in the first place. OAN provides this verification standard before the first packet of sensitive data ever hits the network.