展示HN:PearlOS:我们为人工智能提供了一个对话式桌面环境,而不是一个文本框

2作者: stephanieriggs3 天前原帖
人工智能在终端中表现出色,但许多人对使用命令行并不感到舒适,这意味着他们无法访问或利用人工智能的全部潜力。 因此,我们构想了一种不同的体验,并围绕以下问题展开:如果人工智能有一个完整的桌面环境可以使用会怎样?如果人工智能成为体验而不是工具会怎样?如果这种体验是有趣的、令人愉悦的和直观的又会怎样?今天,我们发布了我们所创造的内容的首个预览视频。 PearlOS 是一个基于浏览器的桌面环境,人工智能助手(Pearl)可以与您对话,帮助您打开应用程序、管理窗口、构建角色、进行研究、记笔记、搜索网络以及控制整个用户界面。您只需与她交谈,屏幕上的事情就会发生。 这还处于早期阶段,但核心功能已经运作良好,我们整个(小型)团队都在日常任务中使用它。 演示视频:<a href="https://www.youtube.com/watch?v=aKO52ox0dx0" rel="nofollow">https://www.youtube.com/watch?v=aKO52ox0dx0</a> GitHub:<a href="https://github.com/NiaExperience/PearlOS/" rel="nofollow">https://github.com/NiaExperience/PearlOS/</a> 我们希望将其发展为“个人珍珠”,让每个人都可以使用,无需任何编码或人工智能经验。 我们正在寻找架构反馈、贡献者和诚实的批评。 打开它时您会得到的内容: * 一个包含应用程序的桌面环境(笔记、浏览器、YouTube、文件管理器、计算器、音乐播放器) * 一个可以自然对话的声音。支持打断处理、轮流发言、真实对话。 * 持久记忆。Pearl 会记住您的项目、偏好和跨会话的过去对话。她会从您上次停下的地方继续。 * 子代理群体。Pearl 可以将复杂任务分解为并行代理任务,在您继续对话的同时在后台运行。 技术栈: * Next.js 前端(桌面在浏览器中运行) * 多模型路由(快速模型用于聊天,较重模型用于复杂推理,可配置) * Pipecat 实时语音(Deepgram STT,PocketTTS 用于本地 TTS) * OpenClaw 用于代理编排 * 自带 API 密钥,可以替换任何大型语言模型(LLM) 它不是: * 另一个 ChatGPT 的包装 * 只是一个加上人工智能的终端 * 不收集您的数据(在您的硬件上运行,无遥测) 感谢大家! Stephanie 和 PearlOS 团队
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AI is awesome in the terminal but many people aren&#x27;t comfortable using command lines - which means they can&#x27;t access or utilize the full power of AI.<p>So we envisioned a different kind of experience, and rooted it in questions like: What if the AI had an entire desktop to work with? What if AI was the experience rather than the tool? And what if that experience was fun, delightful, and intuitive? Today we dropped a first look video of what we created.<p>PearlOS is a browser based desktop environment where the AI companion (Pearl) talks to you to open apps, manage windows, build characters, research, takes notes, searches the web, and controls the whole UI. You just talk to her and things happen on screen.<p>It&#x27;s early. But the core works and our entire (small) team uses it for daily tasks Walkthrough Video: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=aKO52ox0dx0" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=aKO52ox0dx0</a> GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;NiaExperience&#x2F;PearlOS&#x2F;" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;NiaExperience&#x2F;PearlOS&#x2F;</a><p>We want to build this out into “personal pearls” that everyone can have with no coding&#x2F;AI experience at all needed.<p>Looking for architecture feedback, contributors, and honest criticism.<p>What you get when you open it: * A desktop environment with apps (notes, browser, YouTube, file manager, calculator, music player), all * A voice you can talk to naturally. Interruption handling, turn taking, real conversation. * Persistent memory. Pearl remembers your projects, preferences, and past conversations across sessions. She picks up where you left off. * Sub-agent swarms. Pearl can break complex tasks into parallel agent jobs that run in the background while you keep talking.<p>Stack: * Next.js frontend (the desktop runs in a browser) * Multi-model routing (fast model for chat, heavier model for complex reasoning, configurable) * Pipecat for real-time voice (Deepgram STT, PocketTTS for local TTS) * OpenClaw for agent orchestration * Bring your own API keys, swap in any LLM<p>What it&#x27;s not: * Not another ChatGPT wrapper * Not a terminal with an AI bolted on * Not collecting your data (runs on your hardware, no telemetry)<p>Thanks everyone! Stephanie &amp; the PearlOS team