Meta, OpenAI, and Uber Collaborate on Agent Communication Protocols

Meta, OpenAI, and Uber have been working on standardizing how AI agents initiate communication with each other and with external systems, focusing on defining when and how an agent should speak first in a multi-agent or human-agent interaction. The initiative addresses a real coordination problem in agentic systems: agents that over-communicate create noise and latency, while those that under-communicate miss critical handoff moments. The collaboration suggests an emerging industry interest in shared communication norms that could become de facto standards for multi-agent orchestration frameworks. For developers building systems where multiple agents collaborate or where agents interface with human users, the framing of 'when to stay quiet' is as important as the mechanics of message passing. This is early-stage but worth tracking as it could influence how orchestration libraries and agent frameworks design their communication APIs.