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 theguysudo · MCP Server · ★ 88
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ENZO safe to install? View the security audit →
ENZO Quickstart · Live demo · What's inside · Security · What's new · Usage guide · Changelog <img src="https://img.shields.io/endpoint?ur
| Stars | 88 |
| Forks | 18 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 62.6025817130021/100 |
| Last Updated | 2026-09-23 |
| Created | 2026-09-03 |
| Platforms | docker, mcp, node |
| Est. Tokens | ~19k |
Looking for a ENZO alternative? If you're comparing ENZO with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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ENZO is Self-hosted AI workspace with agents, skills, and tools (Gmail, Calendar) that runs entirely on your own provider API keys (BYOK). Bring your own keys — Groq, OpenRouter, NVIDIA, Hugging Face, Google . It is categorized as a MCP Server with 88 GitHub stars.
ENZO is primarily written in TypeScript. It covers topics such as ai, ai-agents, ai-workspace.
You can find installation instructions and usage details in the ENZO GitHub repository at github.com/theguysudo/ENZO. The project has 88 stars and 18 forks, indicating an active community.
ENZO is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to ENZO on Agent Skills Hub include c4-genai-suite, ClawFleet, yantr. 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: