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dmux-workflows

Orchestrate concurrent AI agent sessions with dmux for parallel workflows.

Updated May 28, 2026
Search Tags:#parallel processing#multi-agent#task orchestration#dmux#AI agent workflows
One-click install
npx skills add https://github.com/Aytsuu/codemini --skill dmux-workflows-aytsuu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dmux-workflows
Source: https://github.com/Aytsuu/codemini/tree/main/.agents/skills/dmux-workflows
Command: npx skills add https://github.com/Aytsuu/codemini --skill dmux-workflows-aytsuu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The dmux-workflows skill addresses the challenge of orchestrating multiple agent sessions in parallel, simplifying complex multi-agent development workflows and enhancing productivity in environments like Codex and OpenCode.

Core Features & Use Cases

  • Parallel Agent Orchestration: Manage and execute multiple AI agent sessions simultaneously.
  • dmux Tool Integration: Leverages dmux for tmux-based session management, with support for various harnesses like Codex, OpenCode, and more.
  • Quick Setup and Execution: Offers a simple interface for creating agent panes and running sessions in parallel.
  • Workflow Patterns: Provides predefined patterns for common workflows like Research + Implement, Multi-File Feature, Test + Fix Loop, and Cross-Harness tasks.

Quick Start

Activate the dmux-workflows skill to create parallel agent sessions and execute tasks using dmux.

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 workflows for complex tasks?▼

Parallel AI agent workflows are orchestrated by running concurrent sessions using dmux for tmux-based management, allowing multiple agents to execute complex tasks simultaneously with clear output handling.

Can I use dmux-workflows with Codex and OpenCode harnesses?▼

Yes, dmux-workflows supports integration with various AI agent harnesses including Codex and OpenCode, enabling cross-harness task execution and multi-agent session management within a single tmux environment.

What predefined workflow patterns exist for multi-agent task orchestration?▼

Predefined workflow patterns include Research + Implement, Multi-File Feature, Test + Fix Loop, and Cross-Harness tasks, providing structured approaches for common concurrent AI agent development scenarios.

How does dmux handle output management for concurrent agent sessions?▼

dmux manages concurrent agent session outputs through tmux-based pane isolation, providing clear output management strategies that separate and organize results from multiple parallel AI agent executions.

Do I need tmux installed to orchestrate multi-agent sessions?▼

Yes, tmux is required as dmux leverages tmux-based session management to create agent panes and execute parallel workflows, serving as the foundational terminal multiplexer for concurrent session orchestration.

What's the best way to set up parallel agent sessions for development?▼

The best approach is activating dmux-workflows to create parallel agent panes via tmux, offering a simple interface for quick setup and execution of concurrent AI agent development sessions.

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