Multi-Agent Coordination

As autonomous systems scale beyond a single executor, coordination becomes the dominant challenge. Multiple agents acting independently can easily interfere with each other, even when individual behavior is correct.

Assembly is designed to coordinate multiple autonomous agents or machines around a shared intent.

Shared intent

In a multi-agent system, coordination starts with shared intent. Assembly ensures that all agents operate toward the same high-level objectives, constraints, and priorities, even if their local tasks differ.

Intent acts as a common reference point, reducing conflicting decisions and redundant actions.

Task distribution

Assembly decomposes intent into tasks that can be distributed across agents. Task assignment considers availability, capabilities, and dependencies rather than assuming uniform executors.

Tasks remain reassignable. If an agent becomes unavailable or fails to execute, tasks can be redistributed without restarting the system.

Resource contention

Agents often compete for shared resources such as time, space, or data. Assembly detects contention and resolves it at the coordination layer rather than leaving agents to conflict at execution time.

This allows the system to enforce global constraints while preserving local autonomy.

Conflict resolution

Conflicts may arise when agents produce incompatible actions or interpretations of the environment. Assembly resolves these conflicts by reconciling execution feedback with shared intent, adjusting plans rather than enforcing rigid control.

Coordination is maintained through adaptation, not authority.