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 mindsdb · MCP Server · ★ 39.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mindshub safe to install? View the security audit →
MindsHub The unified workspace where open-source models get things done for you. Make AI do actual work. Swap the model anytime — keep everything you've built. Website · Docs · Web app · Pricing · Discord MindsHub Cowork is the unified workspace where you delegate entire projects — apps, websites, research, analysis, reporting, scheduled operations — and collect finished, shareable
| Stars | 39,756 |
| Forks | 6,241 |
| Language | Makefile |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.8412369561677/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-16 |
| Created | 2018-08-02 |
| Platforms | claude-code, codex, mcp |
| Est. Tokens | ~17k |
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mindshub is The unified workspace where open-source models get things done for you.. It is categorized as a MCP Server with 39.8k GitHub stars.
mindshub is primarily written in Makefile. It covers topics such as agents, ai, anton.
You can find installation instructions and usage details in the mindshub GitHub repository at github.com/mindsdb/mindshub. The project has 39.8k stars and 6241 forks, indicating an active community.
mindshub is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mindshub on Agent Skills Hub include lobehub, OmniRoute, chatgpt-on-wechat. 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: