No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by tercumantanumut · MCP Server · ★ 169
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is selene safe to install? View the security audit →
Selene Selene is an agent-first desktop app that runs AI on your machine. Chat, write code, generate images, design UIs, control a browser — then pipe all of it into WhatsApp, Telegram, Slack, or Discord. Your data stays on your device. Every part of Selene — chat, embeddings, voice, images — lets you pick between local and cloud. Run fully offline or bring your own API keys. Mix and match. <img src="public/icons/brands/moonshot.png" alt="Moonshot" height=
| Stars | 169 |
| Forks | 35 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 61.7833129081523/100 |
| Open Issues | 34 |
| Last Updated | 2026-07-22 |
| Created | 2026-01-03 |
| Platforms | browser, cli, codex, mcp, node |
| Est. Tokens | ~16k |
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selene is Selene is a desktop app that runs AI agents on your machine. Connect them to your WhatsApp, Telegram, Slack, or Discord. Write code, generate images, build personal assistants. All from one place. You. It is categorized as a MCP Server with 169 GitHub stars.
selene is primarily written in TypeScript. It covers topics such as agent, antigravity, codebase-indexing.
You can find installation instructions and usage details in the selene GitHub repository at github.com/tercumantanumut/selene. The project has 169 stars and 35 forks, indicating an active community.
selene is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to selene on Agent Skills Hub include roampal-core, octocode-mcp, context-space. 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: