orchestrating-swarms

Multi-agent swarms coordinate parallel workflows by using a TeammateTool to manage leaders, teammates, task queues, and dependency-driven pipelines. This enables scalable collaboration across multiple agents and varied environments to streamline complex workstreams.

Multi-agent orchestration is the coordination of leaders and teammates across task queues to manage parallel workstreams. You need it for large-scale collaborative initiatives like code reviews, feature pipelines, and refactoring efforts that require dependency management across multiple agents.

Yes, the teammate tool supports both parallel specialists and sequential pipelines within multi-agent swarms. You can coordinate leaders and teammates to handle plan-driven workflows, enabling both concurrent and ordered task execution with dependency management.

Yes, YAML frontmatter with at least a name and description is required to set up swarm-based processing. This formal metadata schema supports downstream search and exposes optional resources like scripts, references, and assets needed for coordinating code review pipelines.

The best way to manage dependencies across multiple agents is using dependency-driven pipelines within a multi-agent swarm. By coordinating leaders and teammates through task queues and inbox messaging, you can systematically resolve dependencies across varied environments.

Swarm-based processing distributes large-scale refactoring efforts across parallel specialists and sequential pipelines, significantly reducing execution time. Unlike a single agent, a multi-agent swarm manages task queues and dependency-driven pipelines to handle complex collaborative initiatives efficiently.