dmux-workflows

Orchestrate parallel AI agent sessions using dmux, a tmux-based pane manager.

Updated Jun 22, 2026
One-click install
npx skills add https://github.com/hector-manny/bussbot --skill dmux-workflows-hector-manny
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dmux-workflows
Source: https://github.com/hector-manny/bussbot/tree/main/.cursor/.agents/skills/dmux-workflows
Command: npx skills add https://github.com/hector-manny/bussbot --skill dmux-workflows-hector-manny

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The dmux-workflows Skill unit helps users streamline complex multi-agent development workflows, eliminating the need for manual session management and enabling parallelism in AI agent execution.

Core Features & Use Cases

  • Parallel Agent Orchestration: Manage multiple AI agent sessions in parallel with dmux, a tmux-based pane manager.
  • Agent Workflow Patterns: Offers templates for various workflows like research + implement, multi-file feature development, and test + fix loops.
  • Use Case: When developing a new software feature that requires simultaneous analysis and implementation tasks using multiple AI agents.

Quick Start

To start a dmux session for parallel AI agent workflows, use the command: dmux

Frequently Asked Questions about dmux-workflows

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

FAQPage Schema
How do I orchestrate parallel AI agent workflows across multiple sessions?

You can orchestrate parallel AI agent workflows by using dmux, a tmux-based pane manager, to handle simultaneous execution and eliminate manual session management across compatible agent harnesses.

What is the best way to run parallel AI coding agents for a multi-file feature?

The best way to run parallel AI coding agents is by utilizing pre-built workflow templates for multi-file feature development, which coordinate simultaneous analysis and implementation tasks across multiple agents.

Does dmux-workflows work with Claude Code and Codex for parallel execution?

Yes, dmux-workflows works with Claude Code, Codex, and OpenCode by using dmux to manage parallel AI agent sessions in tmux panes for streamlined multi-agent development.

How do I start a parallel AI workflow session using tmux?

To start a parallel AI workflow session, execute the `dmux` command to initialize the tmux-based pane manager and begin orchestrating your AI agent sessions.

Do I need to install tmux and dmux before running parallel AI agent sessions?

Yes, you must install the dmux dependency and have a compatible tmux environment set up before you can orchestrate parallel execution of AI agent sessions.

What are the limitations of using tmux for parallel AI agent orchestration?

The main limitation is that parallel AI agent orchestration requires compatible agent harnesses and the dmux pane manager; unsupported terminal environments or agents without CLI interfaces cannot be managed through these workflows.