cmux

Manage multiple Claude Code agent sessions across named workspaces in a terminal.

2|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/jonmumm/skills --skill cmux-jonmumm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cmux
Source: https://github.com/jonmumm/skills/tree/main/cmux
Command: npx skills add https://github.com/jonmumm/skills --skill cmux-jonmumm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

cmux provides centralized management of multiple Claude Code agent sessions in parallel terminals, enabling coordinated workflows and easier monitoring.

Core Features & Use Cases

  • Create, switch, and monitor named workspaces to run several agents concurrently.
  • Send commands between workspaces, split surfaces, and manage notifications and status updates.
  • Use for /swarm or /nightshift style orchestration where terminal-level control and visibility are required.

Quick Start

Spawn a new workspace and start an agent to begin orchestrating parallel sessions.

Frequently Asked Questions about cmux

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

FAQPage Schema
How do I manage multiple Claude Code agent sessions in parallel terminals?

To run Claude Code agents in parallel, use a terminal orchestrator to create named workspaces for each agent. This approach allows you to manage concurrent sessions within a single terminal, providing centralized control and monitoring for parallel workflows.

What is terminal workspace orchestration for AI agents?

Terminal workspace orchestration coordinates multiple AI agent sessions by creating named workspaces within a single terminal. This enables concurrent agent execution, inter-workspace communication, and centralized status monitoring for complex parallel workflows.

Do I need a macOS-compatible terminal to run parallel agent workspaces?

Yes, you need a macOS-compatible terminal environment to use this workspace orchestrator. The CLI relies on terminal-level control and visibility features specific to macOS to create, switch, and monitor parallel agent sessions effectively.

Can I send commands between workspaces when running parallel AI agents?

Yes, the orchestrator allows sending commands between workspaces while running parallel AI agents. It supports splitting terminal surfaces and managing notifications across workspaces to maintain coordinated workflows and inter-agent communication.

What are the limitations of using a CLI orchestrator for parallel agent sessions?

The primary limitation is platform dependency; the orchestrator requires a macOS-compatible terminal environment to function. It is designed specifically for terminal-level control and visibility, meaning it does not support non-CLI based agent workflows.