SpaceO — security grade CAUTION, quality 61/100

Security audit verdict: CAUTION · quality 61/100

Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by ParthJadhav · MCP Server · ★ 86

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

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About SpaceO

Give AI agents their own screen on your Mac. Let agents work in real apps while you keep using your computer. SpaceO runs agent apps on separate, headless displays. Get started · How it works · FAQ · Setup guide · Releases · Reference Recorded from the real SpaceO Viewer using synthetic preview sessions and sample screen content. View the still screenshot. [!NOTE] Latest release · [la

ai-agentsautomationcomputer-usedeveloper-toolsmacosmcpmodel-context-protocolswiftvirtual-display

Quick Facts

Stars86
Forks3
LanguageSwift
CategoryMCP Server
LicenseMIT
Quality Score60.8291023323867/100
Open Issues5
Last Updated2026-10-03
Created2026-07-30
Platformsmcp
Est. Tokens~18k

SpaceO alternative? Top 6 similar tools

Looking for a SpaceO alternative? If you're comparing SpaceO with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is SpaceO?

SpaceO is Give AI agents their own macOS displays. Keep your screen, cursor, and focus.. It is categorized as a MCP Server with 86 GitHub stars.

What programming language is SpaceO written in?

SpaceO is primarily written in Swift. It covers topics such as ai-agents, automation, computer-use.

How do I install or use SpaceO?

You can find installation instructions and usage details in the SpaceO GitHub repository at github.com/ParthJadhav/SpaceO. The project has 86 stars and 3 forks, indicating an active community.

What license does SpaceO use?

SpaceO is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to SpaceO?

The top alternatives to SpaceO on Agent Skills Hub include daymon, claude-emporium, toolhive-studio. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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:

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