# 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.
