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 DearVa · MCP Server · ★ 5.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Everywhere safe to install? View the security audit →
前往中文版本 » Every moment, Every place. Your AI - Everywhere [![.NET 10][.NET 10]][.NET-url][![Avalonia][Avalonia]][Avalonia-url] [![Join QQ Group][QQ-Group]](https://qm.qq.com/cgi-bin/qm/qr?k=wp9aDBBnLc7pYATqT99tB-N2ZP2ETmJC&jumpfrom=webapi&authKey=97qUJfsQoI70dUNcgBZ0C3HCZeiEn8inLT7pzg8x+KinbQwfIrHFu3dB2+aHMbRD) <s
| Stars | 5,922 |
| Forks | 364 |
| Language | C# |
| Category | MCP Server |
| Quality Score | 53.5712467749955/100 |
| Open Issues | 22 |
| Last Updated | 2026-05-07 |
| Created | 2025-04-23 |
| Platforms | claude-code, dotnet, gemini, mcp |
| Est. Tokens | ~2359k |
Looking for a Everywhere alternative? If you're comparing Everywhere 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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Everywhere is Context-aware AI assistant for your desktop. Ready to respond intelligently, seamlessly integrating multiple LLMs and MCP tools.. It is categorized as a MCP Server with 5.9k GitHub stars.
Everywhere is primarily written in C#. It covers topics such as agent, ai, avalonia.
You can find installation instructions and usage details in the Everywhere GitHub repository at github.com/DearVa/Everywhere. The project has 5.9k stars and 364 forks, indicating an active community.
The top alternatives to Everywhere on Agent Skills Hub include ai-guide, py-gpt, repomix. 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: