Multi-Agent Orchestration

The coordination of specialized AI agents working together within defined roles and shared infrastructure.

Multi-agent orchestration is the coordination layer that enables specialized AI agents to work together toward shared objectives. It is distinct from single-agent automation (one AI doing one job) and workflow automation (predefined if-then sequences).

Orchestration requires three capabilities: a way for agents to communicate (Signal Bus), a way to define roles and permissions (AppManifest), and a way for humans to maintain oversight (Agent Governance). Without all three, multi-agent systems devolve into chaos.

steadybase uses Temporal Cloud for durable workflow orchestration underneath the agent layer. This means agent tasks survive crashes, retries are automatic, and long-running workflows (like RollCall's 7-stage video pipeline) execute reliably. The orchestration is infrastructure, not application logic.