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 tg-prplx · MCP Server · ★ 136
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is vellium safe to install? View the security audit →
Vellium — local-first AI workbench for chat, roleplay and writing One desktop app for character chat, multi-character roleplay, long-form writing, RAG, MCP tools, plugins and local models. Vellium is a free, open-source desktop AI workspace that works with OpenAI-compatible APIs, OpenRouter, LM Studio, Ollama, KoboldCpp and custom endpoints. Your chats, characters, projects and knowledge stay in a local SQLite database. Download for macOS, Windows or Linux · Quick start · User guide Curr
| Stars | 136 |
| Forks | 11 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67.111553414785/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-01 |
| Created | 2026-02-18 |
| Platforms | mcp, node |
| Est. Tokens | ~16k |
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vellium is Local-first desktop AI workbench for roleplay, multi-character chat, long-form writing, RAG, MCP tools, plugins, and local models.. It is categorized as a MCP Server with 136 GitHub stars.
vellium is primarily written in TypeScript. It covers topics such as ai, ai-chat, ai-roleplay.
You can find installation instructions and usage details in the vellium GitHub repository at github.com/tg-prplx/vellium. The project has 136 stars and 11 forks, indicating an active community.
vellium is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to vellium on Agent Skills Hub include PocketRisu, ethora, ctxport. 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: