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Agent Protocol over MoQ rev 00 lands on the IETF Datatracker

This document specifies a Agent-to-Agent communication framework enabling structured, low-latency, and semantically rich communication between autonomous agents over the Media over QUIC (MoQ) protocol. It leverages MoQ's efficient media transport capabilities while introducing a new application-layer framing mechanism to support control signaling, session management, and large data fragmentation. The design supports both intra-domain and inter-domain deployment, with an emphasis on interoperability, extensibility, and minimal overhead.

Source: IETF DatatrackerView source →

Draft Snapshot

  • Draft: draft-liu-agent-protocol-over-moq
  • Revision: 00
  • Last updated: 2026-03-03
  • Source: IETF Datatracker

Summary

This document specifies a Agent-to-Agent communication framework enabling structured, low-latency, and semantically rich communication between autonomous agents over the Media over QUIC (MoQ) protocol. It leverages MoQ's efficient media transport capabilities while introducing a new application-layer framing mechanism to support control signaling, session management, and large data fragmentation. The design supports both intra-domain and inter-domain deployment, with an emphasis on interoperability, extensibility, and minimal overhead.

Analysis

This draft is directly relevant to the MOQ ecosystem and worth tracking because it reflects current protocol work or adjacent implementation guidance from the IETF process.

Abstract

This document specifies a Agent-to-Agent communication framework enabling structured, low-latency, and semantically rich communication between autonomous agents over the Media over QUIC (MoQ) protocol. It leverages MoQ's efficient media transport capabilities while introducing a new application-layer framing mechanism to support control signaling, session management, and large data fragmentation. The design supports both intra-domain and inter-domain deployment, with an emphasis on interoperability, extensibility, and minimal overhead.

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