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dmux-workflows

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

Updated Mar 31, 2026
Search Tags:#multi-agent#orchestration#tmux#workflows#dmux#parallel-agent
One-click install
npx skills add https://github.com/GGEdu/claude-god-mode-template --skill dmux-workflows-ggedu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dmux-workflows
Source: https://github.com/GGEdu/claude-god-mode-template/tree/main/skills/dmux-workflows
Command: npx skills add https://github.com/GGEdu/claude-god-mode-template --skill dmux-workflows-ggedu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates parallel AI agent sessions across multiple runtimes and harnesses.

Core Features & Use Cases

  • Dmux pane management enables parallel agent sessions within a single terminal.
  • Cross-harness orchestration coordinates Claude Code, Codex, OpenCode, and other tools for joint workflows.
  • Best-practices patterns for split research/implementation, multi-file features, and code review pipelines.

Quick Start

Start a dmux session and create parallel panes for your agent workflows.

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 in a single terminal?▼

Parallel AI agent sessions are orchestrated within a single terminal using tmux-pane management to coordinate multiple harnesses and reduce cross-tool collaboration overhead.

What is the best way to coordinate research and implementation splits across AI tools?▼

Research and implementation splits are coordinated using reusable parallel-workflow patterns that manage multiple AI agent sessions across different runtimes and harnesses simultaneously.

Can I use dmux to orchestrate Claude Code and Codex in joint workflows?▼

Cross-harness orchestration coordinates Claude Code, Codex, OpenCode, and other tools for joint workflows, enabling multi-pane experimentation and multi-file feature development.

How does tmux-pane management work for multi-agent workflows?▼

Tmux-pane management creates isolated panes within a single terminal session, allowing multiple AI agents to execute tasks in parallel while maintaining cross-tool compatibility.

When do I need parallel agent orchestration for software engineering tasks?▼

Parallel agent orchestration is needed for workflows requiring cross-harness collaboration, multi-file feature development, and code review pipelines where coordination overhead must be minimized.

Do I need any external dependencies to start a parallel-agent dmux session?▼

No external dependencies are required; a dmux session can be started directly to create parallel panes for agent workflows without additional package installations.

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