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 dtsola · MCP Server · ★ 1.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is xiaoyaosearch safe to install? View the security audit →
小遥搜索 XiaoyaoSearch English Version | 简体中文 📖 项目简介 小遥搜索是一款专为知识工作者、内容创作者和技术开发者设计的跨平台本地桌面应用（Windows/MacOS/Linux）。通过集成的AI模型，支持语音输入（30秒内）、文本输入、图片输入等多种方式，将用户的查询转换为语义进行智能搜索，实现对本地文件的深度检索。 ⭐️ 重要说明 本项目非商业使用完全免费，允许修改和分发（需保留版权声明和协议）；商业目的需授权，详细见小遥搜索软件授权协议 本项目完全通过Vibe Coding实现，提供所有源码及开发文档（上下文）供大家交流学习 作者介绍 dtsola — IT架构师 | 一人公司实践者 🌐 个人站点 | 📺 B站 | 💬 微信：dtsola（技术交流 | 商务合作） 微信联系 开发者交流群 用户交流群 ✨ 核心特性 🎤 多模态输入：支持语音录音、文本输入、图片上传 🔍 深度检索：支持视频（mp4、avi）、音频（mp3、wav）、文档（txt、markdown、office、pdf）的内容和文件名搜索 🧠 AI增强：集成BGE-M3、FasterWhisper、CN-CLIP、OLLAMA等先进AI模型 ⚡ 高性能：基于Faiss向量搜索和Whoosh全文搜
| Stars | 1,038 |
| Forks | 54 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 62.3144852954558/100 |
| Last Updated | 2026-10-02 |
| Created | 2025-11-11 |
| Platforms | mcp, python |
| Est. Tokens | ~16k |
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xiaoyaosearch is 小遥搜索，听懂你的话、看懂你的图，用AI找到本地任何文件。让搜索像聊天一样简单。XiaoyaoSearch: Understands your words, reads your images, finds any local file with AI. Making search as easy as chatting.. It is categorized as a MCP Server with 1.0k GitHub stars.
xiaoyaosearch is primarily written in Python. It covers topics such as agent-skills, ai-search, document-search.
You can find installation instructions and usage details in the xiaoyaosearch GitHub repository at github.com/dtsola/xiaoyaosearch. The project has 1.0k stars and 54 forks, indicating an active community.
The top alternatives to xiaoyaosearch on Agent Skills Hub include Generative-Media-Skills, stashbase, mcp-local-rag. 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: