Multi-agent coordination is the process of managing multiple AI agents operating simultaneously — sharing context, routing tasks, and maintaining a coherent execution state across agents.
Multi-agent coordination is the management of multiple AI agents operating simultaneously — ensuring shared context, correct task routing, and coherent execution state across agents.
Orchestration defines the workflow structure. Coordination governs execution across multiple workflows simultaneously — managing shared state, cross-agent dependencies, and organisational policies that apply across all agents.