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dmux-workflows

Orchestrate parallel AI agent sessions across dmux-enabled panes.

Updated Apr 4, 2026
Search Tags:#ai#agents#orchestration#tmux#parallel#workflows#dmux
One-click install
npx skills add https://github.com/mitul-bhatia/Vibes --skill dmux-workflows-mitul-bhatia
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dmux-workflows
Source: https://github.com/mitul-bhatia/Vibes/tree/main/.github/skills/dmux-workflows
Command: npx skills add https://github.com/mitul-bhatia/Vibes --skill dmux-workflows-mitul-bhatia

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates the coordination and management of multiple AI agent sessions across dmux-enabled panes, reducing manual setup and context switching.

Core Features & Use Cases

  • Parallel orchestration: run agent prompts in separate panes and merge results efficiently.
  • Cross-harness collaboration: manage workflows across Claude Code, Codex, OpenCode, and other tools.
  • Pattern-driven workflows: support research+implement, multi-file features, test+fix, and cross-harness collaboration.

Quick Start

Start a dmux session and create multiple agent panes to run parallel 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 separate tmux panes?▼

To run parallel AI agent sessions, use dmux to orchestrate multiple tmux panes across harnesses, executing defined prompts concurrently and merging the results efficiently. This reduces manual context switching.

Can I manage AI workflows across different harnesses like Claude Code and Codex?▼

Managing AI workflows across different harnesses like Claude Code, Codex, and OpenCode is supported through cross-harness collaboration patterns, enabling split parallel work and consolidated results.

What do I need to set up before orchestrating dmux workflows?▼

Orchestrating dmux workflows requires a tmux-compatible environment, the dmux tool installed, and clearly defined prompts and workflows to execute across the parallel agent panes.

What are common workflow patterns for parallel AI agent orchestration?▼

Common workflow patterns for parallel AI agent orchestration include research and implementation, multi-file feature development, test and fix cycles, and cross-harness collaboration.

How does parallel orchestration reduce manual setup for AI agents?▼

Parallel orchestration reduces manual setup by automatically managing multiple AI agent sessions across dmux-enabled panes, eliminating the need to manually open tabs and switch contexts.

When should I use tmux for AI agent workflows instead of a single session?▼

Use tmux for AI agent workflows when you need to execute research, implementation, and testing phases concurrently across multiple panes to consolidate results faster than sequential execution.

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