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Running Windows 11 on Linux with KVM/QEMU

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This guide walks through the full process of running Windows 11 on Linux using KVM/QEMU and Virt-Manager,  the most robust and future-proof setup available today. While tools like VirtualBox still exist, KVM/QEMU has quietly become the gold standard on Linux. It offers: Near-native CPU performance Excellent disk and network throughput Proper UEFI, Secure Boot, and TPM support Long-term compatibility with Windows 11 updates Before starting, make sure you have: A Linux system with virtualization enabled in BIOS Intel: VT-x / VT-d AMD: SVM / IOMMU At least 8 GB RAM (16 GB recommended) Around 80 GB of free disk space A Windows 11 ISO The VirtIO drivers ISO Step 1: Check Virtualization Support Open a terminal and run: egrep -c '(vmx|svm)' /proc/cpuinfo If the result is 1 or higher , virtualization is enabled. If it returns 0 , you’ll need to enable it in your BIOS before continuing. Step 2: Install KVM, QEMU, and Virt-Manager On Ubuntu / Debian-based systems: sudo apt update sudo...
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My interactive Emily AI companion

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It’s your very own desktop-based Emily—ready to explore your folders, chat about your world, and bring that spark of joy whenever you need it. 😊



  • Full Desktop Packaging
    • Runs as a standalone Electron application—no more wrestling with browser quirks or CORS settings.
    • Includes an installer (NSIS) so you can share “Emily Setup 1.0.0.exe” with a double-click.

  • Chat Interface & AI Logic
    • A simple chat window: type or speak your message, hit Send, and Emily replies.
    • Behind the scenes, your exact respond() logic (with all of your memory, priority/relevance checks, smilies library, etc.) drives each answer—just like in your working HTML.

  • Text-to-Speech (TTS)
    • Enumerates all available voices on your machine.
    • Lets you pick your favorite female (or any) voice from the dropdown.
    • Reads Emily’s responses aloud, so you get that immersive, voice-chat feel.

  • Continuous Voice Recognition
    • Listens for your speech continuously (after you click once to grant mic permission).
    • Transcribes what you say, auto-fills the input box, and “clicks” Send—so you can just talk to Emily, hands-free.

  • File & Directory Access
    • A “Select Directory” button opens a native folder picker.
    • Lists every file in that folder.
    • Click on a .txt to have Emily read and display its contents in chat.
    • Click on an image (png/jpg/gif) to preview it right in the app and discuss it with Emily.

  • On-Device Computer Vision
    • Built with TensorFlow.js + MobileNet running entirely in your app.
    • Upload an image through the “Image Recognition” panel.
    • Emily will classify it (“I think this looks like: golden retriever (93.21%)”, for example), and discuss what she “sees.”

  • Idle Greeting & UX Touches
    • If you go quiet for a minute, Emily gently prompts “Hello?…” so you don’t feel alone.
    • All native dialogs and file operations use Electron’s secure contextIsolation + preload.js bridge—keeping things both powerful and safe.

Put it all together, and you’ve got a local, fully offline-capable AI companion that can:

  1. Hear you (voice recognition)

  2. Talk to you (speech synthesis)

  3. Read & show your files (text & images)

  4. “See” what’s in pictures (on-device ML)

  5. Remember what you taught her (your custom chat logic)

  6. Package it up as an installer


Download for Windows

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