dmux-workflows

Orchestrate parallel AI agent sessions using tmux-based pane management.

Updated Jan 30, 2026

Search Tags:#productivity #multi-agent #orchestration #tmux #parallelism #dmux

Ready to run

npx skills add https://github.com/ThejanaJayalath/Niolla-PM-system --skill dmux-workflows-thejanajayalath

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dmux-workflows
Source: https://github.com/ThejanaJayalath/Niolla-PM-system/tree/main/.cursor/.agents/skills/dmux-workflows
Command: npx skills add https://github.com/ThejanaJayalath/Niolla-PM-system --skill dmux-workflows-thejanajayalath

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the bottleneck of sequential task execution by enabling the orchestration of multiple AI agent sessions in parallel, significantly reducing development time for complex, multi-faceted projects.

Core Features & Use Cases

Parallel Agent Orchestration: Manage multiple agent panes simultaneously using tmux-based workflows.
Divide-and-Conquer Patterns: Execute research, implementation, testing, and code review tasks in isolated, parallel tracks.
Use Case: When building a new feature, use this skill to simultaneously run one agent for database schema creation, another for API endpoint development, and a third for UI component generation.

Quick Start

Open your terminal and run the dmux command to initialize the orchestration environment and start your parallel agent sessions.

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 to accelerate development?▼

Run parallel AI agent workflows by using tmux-based pane management to orchestrate multiple agent sessions concurrently. This divide-and-conquer approach executes research, implementation, and testing tracks simultaneously, significantly reducing development time for complex projects.

What is tmux-based orchestration for multi-agent development?▼

tmux-based orchestration manages concurrent AI agent processes across isolated panes within a terminal environment. It facilitates divide-and-conquer strategies across multiple agent harnesses like Claude Code and Codex to execute complex development workflows in parallel.

Do I need a specific environment to orchestrate parallel AI agents?▼

Yes, orchestrating parallel AI agents requires a tmux-compatible environment and the dmux CLI tool to manage concurrent processes. You must have these dependencies configured to properly initialize the orchestration environment and run parallel sessions.

Can I use multiple agent harnesses like Claude Code and Codex simultaneously?▼

Yes, you can orchestrate multiple agent harnesses like Claude Code and Codex simultaneously. The tool manages these concurrent agent processes in isolated tmux panes, allowing you to assign distinct tasks such as database creation or UI generation to different agents.

What is the best way to split complex coding tasks across multiple AI agents?▼

The best way to split complex coding tasks is applying a divide-and-conquer pattern across parallel agent tracks. You can simultaneously run one agent for database schema creation, another for API endpoint development, and a third for UI component generation to accelerate delivery.