orchestrating-swarms

To coordinate multi-agent swarms for parallel task execution, a leader agent assigns work while teammates process tasks and report progress using inbox-based messaging and shared task lists.

Managing dependencies in multi-agent workflows uses shared task lists that support dependency-based pipelines, allowing sequential processing and parallel work streams to synchronize automatically.

Yes, you can use tmux or iterm2 backends for persistent agent orchestration because the environment auto-detects available terminals to balance execution speed, visibility, and persistence.

Setting up a leader and teammate architecture for agent pipelines involves spawning a leader to coordinate swarms and persistent teammates to execute tasks, report progress, and handle task state updates.

Yes, this approach supports self-organizing task queues for code reviews by using swarm-based coordination patterns where teammates claim, process, and report results from a shared list.

Use short-lived subagents for quick isolated actions and persistent teammates for ongoing collaboration, choosing between them based on whether your task management requires ephemeral execution or sustained coordination.