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 mrpulor-gh · Agent Tool · ★ 74
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is nuphus safe to install? View the security audit →
Nuphus — 本地优先面向个人用户日常编程、办公、自动化工作流的 AI 协作伙伴 中文 | English 版本: 0.2.15 · 状态: Alpha（积极开发中） · 平台: Windows / macOS / Linux 技术栈: Tauri v2 · Rust · React 18 · TypeScript Nuphus 是运行在你电脑上的 AI Agent——本地、私有、拥有真实的桌面执行力，手机是它的第二块屏幕。 它识别屏幕、操作鼠标键盘、控制窗口、读写文件、调度浏览器，把 LLM 的推理变成真实的自动化。数据留在本机，模型由你选择，Agent 替你做事情。你在桌面发起的每一个会话，手机上都实时同步——同一份记忆、同一个 Agent、同一场对话，随时随地继续。 设计哲学 不在乎华丽的炫技，只在乎实用的能力。极简实用主义，功能按需呈现，拒绝堆砌套壳、重复探索和无意义消耗，主张一切落到日常工作中。 Leader：串行思考，并行执行 Nuphus 的核心引擎用 Rust 构建，工具调用在毫秒级完成，延迟瓶颈在模型推理而非引擎。Agent 决策本身就是因果链——每一步依赖上一步的结果，桌面系统操作更应遵循串行逻辑。 全局理解，掌控任务 — Leader 解析目标、规划路径、监督进度、汇总交付 内部编排（串行） — 调度内置 GoalType Exec
| Stars | 74 |
| Forks | 16 |
| Language | Rust |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 60.995480972912/100 |
| Open Issues | 3 |
| Last Updated | 2026-09-20 |
| Created | 2026-08-21 |
| Platforms | browser, rust |
| Est. Tokens | ~24k |
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nuphus is Nuphus — 本地优先的 AI Agent：真实桌面执行力 + 手机第二块屏幕。Local-first AI agent with real desktop execution and dual-device real-time sync.. It is categorized as a Agent Tool with 74 GitHub stars.
nuphus is primarily written in Rust. It covers topics such as agent-skills, ai-agent, ai-agents.
You can find installation instructions and usage details in the nuphus GitHub repository at github.com/mrpulor-gh/nuphus. The project has 74 stars and 16 forks, indicating an active community.
nuphus is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to nuphus on Agent Skills Hub include ai-agent-automation, Hermes-Studio, pie-ai-agent. 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: