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 HilbertraumAI · Agent Tool · ★ 136
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is HilbertRaum safe to install? View the security audit →
Your private AI workspace, fully offline Chat with a local AI, ask questions about your private documents and an offline Wikipedia, and keep everything on your own computer. Quick start: download the latest release, install it, and the app walks you through adding the AI engine and a model. HilbertRaum is a private AI workspace that runs locally on your computer and can operate entirely offline. Chat with a local AI, ask questions about your documents, and keep your data under your control. There is no cloud fallback
| Stars | 136 |
| Forks | 11 |
| Language | TypeScript |
| Category | Agent Tool |
| License | GPL-3.0 |
| Quality Score | 62.7647402045865/100 |
| Open Issues | 21 |
| Last Updated | 2026-10-03 |
| Created | 2026-06-09 |
| Platforms | node |
| Est. Tokens | ~22k |
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HilbertRaum is AI, fully local on your computer.. It is categorized as a Agent Tool with 136 GitHub stars.
HilbertRaum is primarily written in TypeScript. It covers topics such as ai, ai-tools, kiwix.
You can find installation instructions and usage details in the HilbertRaum GitHub repository at github.com/HilbertraumAI/HilbertRaum. The project has 136 stars and 11 forks, indicating an active community.
HilbertRaum is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to HilbertRaum on Agent Skills Hub include roampal, ToolNeuron, agentic-signal. 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: