cmux: Open source Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents

Last updated: 2026-11-07 · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install cmux

brew install --cask cmux

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 62/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ampclaude-codeclicodexcoding-agentsgeminighosttymacosmultiplexermultitasking

Quick Facts

Stars	28,734
Forks	2,630
Language	Swift
Category	Codex Skill
Quality Score	62/100
Open Issues	5838
Last Updated	2026-11-07
Created	2026-01-28
Platforms	claude-code, cli, codex, gemini
Est. Tokens	~17k

About cmux

cmux A Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents English Türkçe ▶ Demo video · <a hr

Compatible Skills

These tools work well together with cmux for enhanced workflows:

agent-deck — semantic(0.33)+complementary+rare_topics+similar_pop+shared_platform (51%)
my-ai-tools — semantic(0.33)+complementary+rare_topics+shared_platform (46%)
agent-safehouse — semantic(0.17)+complementary+similar_pop+shared_platform (46%)
overstory — semantic(0.18)+complementary+rare_topics+similar_pop+shared_platform (46%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Codex Skill tools