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dmux-workflows

Orchestrate parallel AI agent sessions across multiple harnesses with dmux pane management.

Updated Mar 21, 2026
Search Tags:#orchestration#tmux#parallel#ai-agent#workflows#mult-agent#dmux
One-click install
npx skills add https://github.com/hieuck/Pro5ChromeManager --skill dmux-workflows-hieuck
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dmux-workflows
Source: https://github.com/hieuck/Pro5ChromeManager/tree/main/.agents/skills/dmux-workflows
Command: npx skills add https://github.com/hieuck/Pro5ChromeManager --skill dmux-workflows-hieuck

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

  • Pattern-based workflows to run multiple agent sessions in parallel across Claude Code, Codex, OpenCode, and other harnesses.
  • Pane management and quick operations like creating new panes and merging outputs to streamline multi-agent collaboration.
  • Use cases include research + implementation, cross-harness coordination, and multi-file feature development.

Quick Start

Start a dmux session and create agent panes for parallel tasks.

Frequently Asked Questions about dmux-workflows

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

FAQPage Schema
How do I run parallel AI agent sessions across multiple harnesses?▼

You can coordinate parallel AI agent sessions using dmux, a tmux pane manager designed for agent harnesses. It provides pattern-based workflows to run multiple agents simultaneously across Claude Code, Codex, OpenCode, and other harnesses.

How does dmux manage multi-agent development workflows?▼

Dmux manages multi-agent workflows using tmux pane controls to create agent panes and merge outputs. This enables reliable parallel execution and coordination across multiple AI agents working on simultaneous tasks.

Can I use tmux to coordinate Claude Code and Codex agents at the same time?▼

Yes, dmux supports cross-harness coordination, allowing you to run Claude Code and Codex agents simultaneously. It orchestrates these parallel AI agent sessions using tmux pane management.

What is the best way to merge outputs from multiple AI agents?▼

Dmux provides pane management and quick operations to merge outputs from multiple AI agents. This streamlines multi-agent collaboration by consolidating results from parallel sessions running across different harnesses.

Do I need tmux installed to coordinate parallel AI agent sessions?▼

Yes, tmux is required because dmux is a tmux pane manager for agent harnesses. It relies on tmux pane management to orchestrate parallel AI agent sessions and execute workflow patterns.

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