dmux-workflows

Name: dmux-workflows
Availability: InStock
Author: Aayushsoam

Coordinate parallel AI agent sessions across multiple harnesses using dmux pane manager.

1|Updated Mar 31, 2026

Search Tags:#patterns #orchestration #tmux #workflows #ai-harness #dmux #parallel-agent

Ready to run

npx skills add https://github.com/aayushsoam/clawbot-plus --skill dmux-workflows-aayushsoam

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dmux-workflows
Source: https://github.com/aayushsoam/clawbot-plus/tree/main/skills/dmux-workflows
Command: npx skills add https://github.com/aayushsoam/clawbot-plus --skill dmux-workflows-aayushsoam

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrate parallel AI agent sessions using dmux, a tmux pane manager for agent harnesses.

Core Features & Use Cases

Parallel agent panes across Claude Code, Codex, OpenCode, Cline, Gemini, Qwen for coordinated workflows
Pattern-based workflows to split research, implementation, testing, and code review
Best practices for isolation, git worktrees, and cross-harness orchestration

Quick Start

Start a dmux session and create independent panes to run separate agent prompts in parallel.

Frequently Asked Questions about dmux-workflows

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I coordinate parallel AI agent sessions across different harnesses?▼

Coordinate parallel AI agent sessions across different harnesses by using dmux, a tmux pane manager that enforces pane-based orchestration and cross-harness coordination through predefined patterns. It allows you to run research, implementation, and testing workflows simultaneously.

Can I run Claude Code and Codex agents in the same terminal session?▼

Yes, you can run Claude Code, Codex, OpenCode, Cline, Gemini, and Qwen agents in the same terminal session. dmux creates independent panes within a single coordinated tmux session to manage these multiple agent harnesses concurrently.

What is the best way to split research, implementation, and testing workflows for AI agents?▼

The best way to split research, implementation, and testing workflows is by applying pattern-based workflows. dmux uses predefined patterns to enforce independent task boundaries, ensuring each AI agent pane operates within its specific workflow scope.

How do I start a dmux session for parallel agent orchestration?▼

To start a dmux session for parallel agent orchestration, initiate dmux in your terminal and create independent panes. You then run separate agent prompts in these panes to execute coordinated workflows across your chosen harnesses.

Does parallel agent orchestration require git worktrees for task isolation?▼

Parallel agent orchestration utilizes git worktrees as a best practice for isolation. dmux enforces independent task boundaries across panes, and combining this with git worktrees ensures that concurrent implementation and testing workflows do not conflict.

Why use tmux pane management for AI agent workflows instead of separate terminals?▼

Using tmux pane management for AI agent workflows provides structured cross-harness coordination within a single terminal. Unlike separate terminals, dmux enforces pane-based orchestration and predefined patterns to maintain independent task boundaries across concurrent sessions.