Multi-agent collaboration is the coordinated execution of a task by multiple AI agents that divide work, share intermediate results and reconcile conflicting outputs toward a common goal. It requires protocols for task allocation, message passing and conflict resolution so that agents with different roles or specialisations can operate concurrently without duplicating or contradicting each other’s work. Harness configuration packs and IDE coding agents increasingly rely on multi-agent collaboration to parallelise complex software tasks across specialised sub-agents.