dmux Workflows
Orchestrate parallel AI agent sessions using dmux, a tmux pane manager for agent harnesses.
When to Activate
- Running multiple agent sessions in parallel
- Coordinating work across Claude Code, Codex, and other harnesses
- Complex tasks that benefit from divide-and-conquer parallelism
- User says "run in parallel", "split this work", "use dmux", or "multi-agent"
What is dmux
dmux is a tmux-based orchestration tool that manages AI agent panes:
- Press
nto create a new pane with a prompt - Press
mto merge pane output back to the main session - Supports: Claude Code, Codex, OpenCode, Cline, Gemini, Qwen
Install: npm install -g dmux or see github.com/standardagents/dmux
Quick Start
bash# Start dmux session dmux # Create agent panes (press 'n' in dmux, then type prompt) # Pane 1: "Implement the auth middleware in src/auth/" # Pane 2: "Write tests for the user service" # Pane 3: "Update API documentation" # Each pane runs its own agent session # Press 'm' to merge results back
Workflow Patterns
Pattern 1: Research + Implement
Split research and implementation into parallel tracks:
Pane 1 (Research): "Research best practices for rate limiting in Node.js. Check current libraries, compare approaches, and write findings to /tmp/rate-limit-research.md" Pane 2 (Implement): "Implement rate limiting middleware for our Express API. Start with a basic token bucket, we'll refine after research completes." # After Pane 1 completes, merge findings into Pane 2's context
Pattern 2: Multi-File Feature
Parallelize work across independent files:
Pane 1: "Create the database schema and migrations for the billing feature" Pane 2: "Build the billing API endpoints in src/api/billing/" Pane 3: "Create the billing dashboard UI components" # Merge all, then do integration in main pane
Pattern 3: Test + Fix Loop
Run tests in one pane, fix in another:
Pane 1 (Watcher): "Run the test suite in watch mode. When tests fail, summarize the failures." Pane 2 (Fixer): "Fix failing tests based on the error output from pane 1"
Pattern 4: Cross-Harness
Use different AI tools for different tasks:
Pane 1 (Claude Code): "Review the security of the auth module" Pane 2 (Codex): "Refactor the utility functions for performance" Pane 3 (Claude Code): "Write E2E tests for the checkout flow"
Pattern 5: Code Review Pipeline
Parallel review perspectives:
Pane 1: "Review src/api/ for security vulnerabilities" Pane 2: "Review src/api/ for performance issues" Pane 3: "Review src/api/ for test coverage gaps" # Merge all reviews into a single report
Best Practices
- Independent tasks only. Don't parallelize tasks that depend on each other's output.
- Clear boundaries. Each pane should work on distinct files or concerns.
- Merge strategically. Review pane output before merging to avoid conflicts.
- Use git worktrees. For file-conflict-prone work, use separate worktrees per pane.
- Resource awareness. Each pane uses API tokens — keep total panes under 5-6.
Git Worktree Integration
For tasks that touch overlapping files:
bash# Create worktrees for isolation git worktree add ../feature-auth feat/auth git worktree add ../feature-billing feat/billing # Run agents in separate worktrees # Pane 1: cd ../feature-auth && claude # Pane 2: cd ../feature-billing && claude # Merge branches when done git merge feat/auth git merge feat/billing
Complementary Tools
| Tool | What It Does | When to Use |
|---|---|---|
| dmux | tmux pane management for agents | Parallel agent sessions |
| Superset | Terminal IDE for 10+ parallel agents | Large-scale orchestration |
| Claude Code Task tool | In-process subagent spawning | Programmatic parallelism within a session |
| Codex multi-agent | Built-in agent roles | Codex-specific parallel work |
Troubleshooting
- Pane not responding: Check if the agent session is waiting for input. Use
mto read output. - Merge conflicts: Use git worktrees to isolate file changes per pane.
- High token usage: Reduce number of parallel panes. Each pane is a full agent session.
- tmux not found: Install with
brew install tmux(macOS) orapt install tmux(Linux).


