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by ThinkInAIXYZ · Codex Skill · ★ 314
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is clawdhome safe to install? View the security audit →
ClawdHome English | 中文 Native macOS control plane for securely running and managing multiple isolated OpenClaw gateway instances on a single Mac. ClawdHome is built for people who want one machine to host multiple OpenClaw "Shrimps" without mixing identities, data, permissions, or operational risk. It combines a SwiftUI admin app, a privileged XPC helper daemon, and macOS multi-user isolation into a single workflow for setup, monitoring, cloning, maintenance, and recovery. Website: clawdhome.app Downloads: GitHub Releases Changelog: English | 中文 Community Groups Feishu Group WeChat Group
| Stars | 314 |
| Forks | 49 |
| Language | Swift |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 73.8958114083339/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-24 |
| Created | 2026-02-20 |
| Est. Tokens | ~17k |
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clawdhome is ClawdHome securely isolates and manages multiple OpenClaw gateway instances on one Mac.. It is categorized as a Codex Skill with 314 GitHub stars.
clawdhome is primarily written in Swift. It covers topics such as isolation, local-first, macos.
You can find installation instructions and usage details in the clawdhome GitHub repository at github.com/ThinkInAIXYZ/clawdhome. The project has 314 stars and 49 forks, indicating an active community.
clawdhome is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to clawdhome on Agent Skills Hub include CoWork-OS, memorix, room. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: