multi-agent-orchestration

You can coordinate multiple agents by applying orchestration patterns like sequential, parallel, hierarchical, or consensus execution to manage task delegation, dependencies, and cross-agent communication across specialized domains.

Multi-agent orchestration is the coordination of specialized agents to collaboratively solve complex problems. It is needed when tasks require scalable, resilient decision-making and the orchestration of planning, analysis, and execution across domains.

You manage workflows and communication by utilizing direct, mediated, and manager-assisted messaging between agents, alongside task delegation patterns that assign specific duties and track dependencies throughout the execution lifecycle.

Yes, multi-agent orchestration supports complex workflows across domains such as finance, legal, or product development by coordinating specialized agents to handle domain-specific planning, analysis, and execution tasks collaboratively.

You track progress and aggregate results by collecting outputs from each specialized agent, monitoring execution workflows, and surfacing performance metrics to evaluate the team's overall collaborative efficiency.

The best way to structure tasks is by selecting modular execution patterns such as sequential for dependent steps, parallel for independent tasks, or hierarchical for manager-assisted delegation, ensuring efficient cross-agent coordination.