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嘿，HN，我是来自维也纳的马里奥。我是我家人指定的“IT男”（他们叫我来插Scart线或设置Chrome）。几周前，我花了两个多小时与Docker（以及一些当时我还不熟悉的终端命令）搏斗，才让一个基于CLI的AI代理运行起来。它吃掉了我所有的RAM，我意识到：我的妻子、我的非技术客户，或者我6岁的儿子永远无法设置这个东西。如果我部署类似的东西，我将花费我的生命来做设置支持（这不仅仅是找到遥控器上的HDMI 1到HDMI 2输入）。在过去的两年里，我一直在用LLM“玩代码”，主要构建常见的着陆页或简单的复古游戏，向我的儿子展示我们生活在一个可以通过提示构建很多“娱乐”东西的疯狂时代。我决定将我之前失败的Laravel SaaS（Skales）转变为一个原生桌面应用程序，以解决这个设置地狱。我唯一想达到的目标是：一个像普通应用程序（.exe / .dmg）一样安装的自主AI代理。不需要博士学位。下载，安装，完成。它真的成功了。我60多岁的妈妈立刻就让它运行起来了（所以…Skales现在是奶奶认可的AI代理了吗？），而我6岁的儿子使用内置的编码技能制作了他自己的复古游戏（我不会说它真的是一个“游戏”，因为它基本上是超级马里奥的一个关卡的复制品——但他很喜欢）。它的功能： ReAct自动驾驶，双时态记忆，浏览器自动化（Playwright），以及原生集成（Gmail、Telegram、日历）。 BYOK：与OpenRouter、OpenAI、Anthropic或本地Ollama配合使用。技术栈：Electron + Next.js + Node.js（我设法将空闲RAM保持在约300MB）。所有内容都本地存储在~/.skales-data中。我知道作为一个“设计人员，用Electron应用程序玩代码”（或营销人员）对于HN人群来说基本上是新鲜的肉。请随意吐槽架构！但我的主要目标是让这些令人难以置信的AI工具能够用于日常任务（格式化简历、发送PDF、构建简单游戏），而无需接触终端或从一个工具切换到另一个工具。许可说明：该项目采用BSL-1.1（源代码可用，供个人使用）。我选择这个的原因很简单，因为我不希望一家大公司直接拿走这个仓库，围绕Skales建立他们的品牌并进行商业转售，但我希望代码能供社区使用和学习。（请原谅我的英语——我不是母语人士）很想听听您对用户体验的诚实反馈（也许可以更好？)! GitHub: [https://github.com/skalesapp/skales](https://github.com/skalesapp/skales) 网站: [https://skales.app](https://skales.app)

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Hey HN,I'm Mario from Vienna. I’m the designated "IT guy" for my family (the guy they call to plug in a Scart cable or to setup Chrome).A few weeks ago, I spent over two hours wrestling with Docker (and some for my at this time unknown Terminal commands) just to get a CLI-based AI agent running. It ate all my RAM, and I had a realization: my wife, my non-technical clients, or my 6-year-old son could never set this up. If I deployed something like this, I'd spend my life doing setup-support (and this isn't just about finding the HDMI 1 to HDMI 2 input on the remote control).I’ve been "vibecoding" with LLMs for a while the last 2 years, mostly building common landingpages or simple retro games to show my son that we live in a wild time where you can build a lot of 'entertaining' stuff just by prompting. I decided to pivot an old, failed Laravel SaaS of mine (Skales) into a native desktop app to solve this setup hell.The only goal I wanted to reach: an autonomous AI agent that installs like a normal app (.exe / .dmg). No PhD required. Download, Install, Done.It actually worked. My 60+ year old mom got it running instantly (so.. is Skales now a Grandma-Approved AI Agent?), and my 6yr used the built-in Coding Skill to make his own retro game (I wouldn't say its really a 'game' when it's basically a one level copy of Super Mario - but he loves it).What it does:ReAct autopilot, bi-temporal memory, browser automation (Playwright), and native integrations (Gmail, Telegram, Calendar).BYOK: Works with OpenRouter, OpenAI, Anthropic, or local Ollama.Tech stack: Electron + Next.js + Node.js (I managed to keep idle RAM around ~300MB).Everything is stored locally in ~/.skales-data.I know that being a "design guy who vibecoded an Electron app" (or Marketing-Dude) is basically fresh meat for the HN crowd. Feel free to roast the architecture! But my main goal was just making these incredible AI tools accessible for everyday tasks (formatting resumes, sending PDFs, building simple games) without touching a terminal or moving from one tool to another tool.License note: The project is BSL-1.1 (Source-available, free for personal use). I chose this simply because I don't want a giant company to just take the repo, build their brand around Skales and commercially resell it, but I want the code out there for the community to use and learn from.(excuse my English - i'm not a native speaker)Would love your honest feedback on the UX (could be maybe better?)!GitHub: <a href="https://github.com/skalesapp/skales" rel="nofollow">https://github.com/skalesapp/skales</a> Website: <a href="https://skales.app" rel="nofollow">https://skales.app</a>

Show HN: Skales – 本地 AI 智能体桌面应用 (.exe/.dmg，空闲 RAM 占用 300MB)