Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by bwendell · Agent Tool · ★ 333
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is gemini-desktop safe to install? View the security audit →
Gemini Desktop — Native, Private AI Experience %20%7C%20macOS%20%7C%20Linux-lightgrey?style=flat-square) Gemini, but better. A privacy-first desktop client for Google Gemini with native controls, global hotkeys, and zero telemetry. Feature Highlights • Installation • Privacy • What's Next • Contributing ✨ Why Gemini Desktop Desktop-native workflow: Use Gemini in
| Stars | 333 |
| Forks | 42 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.0341675542664/100 |
| Open Issues | 26 |
| Last Updated | 2026-07-20 |
| Created | 2025-12-16 |
| Platforms | cli, gemini, node |
| Est. Tokens | ~15k |
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gemini-desktop is ⚠️ On hiatus / not actively maintained — Native desktop client for Google Gemini on Windows, macOS, and Linux. Global hotkeys, Spotlight-style Quick Chat, zero data collection.. It is categorized as a Agent Tool with 333 GitHub stars.
gemini-desktop is primarily written in TypeScript. It covers topics such as ai-tools, chatbot, desktop-app.
You can find installation instructions and usage details in the gemini-desktop GitHub repository at github.com/bwendell/gemini-desktop. The project has 333 stars and 42 forks, indicating an active community.
gemini-desktop is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to gemini-desktop on Agent Skills Hub include chat-js, CoWork-OS, palot. 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: