Multi-Agent Orchestration

An architectural pattern in which a complex task is decomposed into subtasks, delegated to specialized AI agents running in parallel, and then integrated into a unified result. Widely adopted in AI coding agents and large-scale AI systems as a practical workaround for single-agent context window limits.

The canonical structure separates an orchestrator (responsible for task decomposition and delegation) from sub-agents (which execute specific subtasks). Pipeline design for tool calls, memory sharing, and error propagation between agents is a primary quality determinant. As of 2026, major coding agents including Claude Code, Devin, and Codex implement multi-agent orchestration as a standard component.