Agent-to-Agent Communication

Autonomous systems require more than message passing. They need a way to exchange intent, context, and execution signals in a form that other machines can interpret reliably.

Agent-to-Agent communication in MinD Robotics is designed for machine interaction first, not human-readable messaging. It enables agents to coordinate actions directly, without relying on human-oriented protocols or centralized brokers.

Intent-Driven Messaging

Instead of exchanging raw text or generic events, agents communicate using intent-based messages.

An intent describes:

• what an agent is trying to do

• under which constraints

• and with what expected outcome

This allows receiving agents to reason about actions, not just react to messages. Communication becomes part of the decision process, rather than a side channel.

Low-Latency, Action-Oriented Channels

MinD Robotics communication channels are optimized for fast, continuous interaction between autonomous systems.

Messages are:

• structured and machine-readable

• lightweight and composable

• designed for real-time coordination

This enables agents to negotiate tasks, delegate execution, and adjust behavior dynamically as conditions change, without human intervention.