Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by nuwax-ai · MCP Server · ★ 890
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Nuwax Nuwax AI - Easily build and deploy your private Agentic AI solutions. Official Website: https://nuwax.com Demo: https://agent.nuwax.com 中文文档 Documentation Installation & Deployment Use the official nuwax-cli command tool to quickly deploy services locally. Quick Start Environment Preparation System Requirements System Requirements: Ubuntu 22.04 LTS or later (other Linux versions not fully tested), macOS 10.15+, Windows 10/11 (support coming soon) Hardware Requirements: 4 cores 8GB RAM or higher Environment Requirements: docker, docker-compose V2 environment Docker Installation Guide Supported Platforms Linux: x8664, ARM64 Ubuntu 22.04 LTS (recommended) Current user needs Docker permissions, verify with . If you encounter permission issues, you can run with sudo privileges.
| Stars | 890 |
| Forks | 181 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66.8615337812981/100 |
| Open Issues | 16 |
| Last Updated | 2026-09-21 |
| Created | 2025-07-09 |
| Platforms | docker, mcp, node |
| Est. Tokens | ~18k |
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nuwax is Nuwax Agent OS - An enterprise-grade AI Agent Development and Operation Platform - Providing a complete solution for agent creation and distribution, knowledge base management, model proxy, memory sys. It is categorized as a MCP Server with 890 GitHub stars.
nuwax is primarily written in TypeScript. It covers topics such as a2a, agent, agent-os.
You can find installation instructions and usage details in the nuwax GitHub repository at github.com/nuwax-ai/nuwax. The project has 890 stars and 181 forks, indicating an active community.
nuwax is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to nuwax on Agent Skills Hub include flock, FireRed-OpenStoryline, trpc-agent-go. 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: