dmux-workflows

Run parallel AI agent workflows by using tmux-based pane management to orchestrate multiple agent sessions concurrently. This divide-and-conquer approach executes research, implementation, and testing tracks simultaneously, significantly reducing development time for complex projects.

tmux-based orchestration manages concurrent AI agent processes across isolated panes within a terminal environment. It facilitates divide-and-conquer strategies across multiple agent harnesses like Claude Code and Codex to execute complex development workflows in parallel.

Yes, orchestrating parallel AI agents requires a tmux-compatible environment and the dmux CLI tool to manage concurrent processes. You must have these dependencies configured to properly initialize the orchestration environment and run parallel sessions.

Yes, you can orchestrate multiple agent harnesses like Claude Code and Codex simultaneously. The tool manages these concurrent agent processes in isolated tmux panes, allowing you to assign distinct tasks such as database creation or UI generation to different agents.

The best way to split complex coding tasks is applying a divide-and-conquer pattern across parallel agent tracks. You can simultaneously run one agent for database schema creation, another for API endpoint development, and a third for UI component generation to accelerate delivery.