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 xerrors · MCP Server · ★ 7.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Yuxi safe to install? View the security audit →
[[项目主页]](https://xerrors.github.io/Yuxi/) · [[快速开始]](https://xerrors.github.io/Yuxi/intro/quick-start) · [[演示视频]](https://www.bilibili.com/video/BV1erE26iEgv/) · [[版本记录]](https://github.com/xerrors/Yuxi/releases) · [[English]](README.en.md) 📢 作者为江南大学软件工程博士研究生，研究方向为 AI Agent、知识图谱与大模型应用，预计 2027年12月毕业，现寻求实习/全职机会。联系邮箱：wenjie.zhang@stu.jiangnan.edu.cn Yuxi 是什么 Yuxi（语析）是一个可私有部署的多租户知识智能体平台。把 RAG 检索、M
| Stars | 7,248 |
| Forks | 1,153 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 61.545507989618/100 |
| Open Issues | 84 |
| Last Updated | 2026-09-30 |
| Created | 2024-07-05 |
| Platforms | docker, mcp, python |
| Est. Tokens | ~14k |
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Yuxi is 可私有部署的多租户知识智能体平台：统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Yuxi = Cloud Agents + Knowledge RAG, Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.. It is categorized as a MCP Server with 7.2k GitHub stars.
Yuxi is primarily written in Python. It covers topics such as agentic-rag, ai-agents, deepagents.
You can find installation instructions and usage details in the Yuxi GitHub repository at github.com/xerrors/Yuxi. The project has 7.2k stars and 1153 forks, indicating an active community.
Yuxi is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Yuxi on Agent Skills Hub include mcp-memory-service, nexent, full-stack-ai-agent-template. 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: