What problem does it solve?
Manually coordinating multiple AI agent sessions across different tools is slow, error-prone, and wastes time switching between panes and merging disjointed results.
Core Features & Use Cases
- Parallel Agent Orchestration: Run multiple Claude Code, Codex, OpenCode, and other supported agent sessions side-by-side in tmux panes for divide-and-conquer development workflows.
- Pre-built Workflow Patterns: Ready-to-use templates for common use cases including research + implementation, multi-file feature development, test-fix iteration loops, and cross-harness task assignment.
- Isolation & Merge Support: Integrates with git worktrees to prevent file conflicts between parallel agents, with guided steps to merge completed work back into your main codebase.
- Use Case Example: For a full-stack billing feature build, run one agent to design the database schema, another to build API endpoints, and a third to create frontend components in parallel, then merge all results seamlessly.
Quick Start
Use the dmux-workflows skill to split your complex development task into parallel agent workstreams, run each in its own tmux pane, and merge the completed results back into your main session.