Semantic Routing Architecture for AI Agents Communication
draft-li-semantic-routing-architecture-00
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
|
|
|---|---|---|---|
| Authors | Xueting Li , Aijun Wang | ||
| Last updated | 2026-05-07 (Latest revision 2025-11-03) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
This document introduces an Semantic Routing (SR) Architecture for enabling intelligent, semantic-driven communication among AI Agents. Unlike traditional IP-based routing or service mesh approaches, SRA leverages application-layer semantics — including service identity, intent vectors, and trust scores — to guide routing decisions dynamically. The architecture supports intent-driven task collaboration, trust-aware policy enforcement, and adaptive routing for multi-agent environments. SRA enables the network to evolve from a passive transport layer to an intelligent collaboration substrate supporting multi-agent coordination and cognitive networking.
Authors
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)