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dmux-workflows

Coordinate parallel AI agent sessions across harnesses using tmux-based pane management.

Updated Mar 25, 2026
Search Tags:#multi-agent#orchestration#tmux#parallel-workflows#agent-harness#dmux
One-click install
npx skills add https://github.com/SOLEROM/cldlab --skill dmux-workflows-solerom
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dmux-workflows
Source: https://github.com/SOLEROM/cldlab/tree/main/ecc/ref_claude/.agents/skills/dmux-workflows
Command: npx skills add https://github.com/SOLEROM/cldlab --skill dmux-workflows-solerom

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrate and manage multiple AI agent sessions across different harnesses to streamline parallel research, development, and testing workflows.

Core Features & Use Cases

  • Parallel orchestration across Claude Code, Codex, and other harnesses using dmux.
  • Pane-based workflow patterns for research, implementation, tests, and reviews in a single environment.
  • Cross-harness coordination enabling simultaneous workstreams with merged outputs for rapid iteration.

Quick Start

Orchestrate parallel agent sessions by launching multiple harness panes and merging results efficiently.

Frequently Asked Questions about dmux-workflows

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

FAQPage Schema
How do I coordinate parallel AI agent sessions across different runtimes?▼

You can coordinate parallel AI agent sessions by using a tmux-based pane manager to orchestrate workflows across Claude Code, Codex, and other runtimes. This enables simultaneous research, implementation, and testing workstreams.

Can I use tmux panes to manage multi-agent workflows in Claude Code and Codex?▼

Yes, tmux panes can manage multi-agent workflows by applying pane-based patterns for research, implementation, tests, and reviews. This cross-harness coordination allows simultaneous workstreams with merged outputs for rapid iteration.

What is pane-based orchestration for multi-agent development workflows?▼

Pane-based orchestration is a workflow pattern that uses tmux panes to manage multiple AI agent sessions in a single environment. It enables parallel research, implementation, and testing across different agent harnesses.

Does dmux support cross-harness compatibility for simultaneous AI workstreams?▼

Dmux supports cross-harness compatibility by orchestrating multiple AI agent sessions across Claude Code, Codex, and other runtimes. It enables simultaneous workstreams with merged outputs for rapid iteration in a production-like environment.

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

Tmux-based parallel agent orchestration requires explicit pane management to coordinate workflows effectively. Users must manage pane-based patterns manually across different harnesses to ensure merged outputs and clear workflow coordination.

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