Draco-OS

Draco-OS is a next-generation, AI-first microkernel operating system. Built as a sophisticated fork of Redox OS, Draco-OS integrates advanced AI capabilities directly into the system architecture, enabling a seamless, voice-dictated, and vision-aware computing experience.

Important

Draco-OS is currently in early experimental stage. It is designed for researchers, AI enthusiasts, and system developers who want to explore the frontier of AI-native operating systems.

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Core Philosophy

Traditional operating systems treat AI as an application. Draco-OS treats AI as a core system service.

• Voice-Native: Controlled primarily through natural language. No more typing complex shell commands.
• Context-Aware: The system "sees" what you see, providing real-time code optimizations and workflow assistance.
• Privacy-First: All AI processing (STT, Vision, LLM) runs locally on your hardware using whisper-rs and mistral.rs. No cloud API calls, no data leaks.
• Microkernel Security: Inherits the memory safety and modularity of the Redox microkernel, written entirely in Rust.

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Key Features

• Zero-Touch Interface: Wake-word detection ("Draco") with ultra-low latency (<500ms).
• Visual Intelligence: Real-time framebuffer analysis for context-aware developer assistance.
• Pure Rust Stack: From the kernel to the AI daemons, the entire system leverages Rust's safety guarantees.
• Modular Services: AI capabilities are isolated in user-space daemons, ensuring kernel stability.
• High Performance: Optimized for modern x86_64 architecture with planned ARM support.

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System Architecture

graph TD
    User((User)) -->|Voice/Vision| AI_Layer[Draco AI Services]
    AI_Layer -->|Inter-Process Communication| System_Daemons[Redox System Daemons]
    System_Daemons -->|Syscalls| Microkernel[Redox Microkernel]
    Microkernel -->|Drivers| Hardware[CPU/GPU/Audio/Mic]
    
    subgraph "Draco AI Layer"
        V_Daemon[draco_voice: Whisper STT]
        S_Daemon[draco_vision: Mistral.rs Vision]
    end

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Technical Stack

• Kernel: Redox Microkernel (MIT)
• Filesystem: RedoxFS
• GUI: Orbital Window Manager
• Shell: Ion Shell (enhanced with draco:// protocol)
• AI Engine: whisper-rs (Voice) & mistral.rs (Vision)

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Screenshots

  

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Quick Start

1. Prerequisites (Ubuntu/Debian/Pop!_OS)

Ensure you have the necessary build tools and Rust nightly environment:

sudo apt update && sudo apt install -y \
  build-essential git curl clang llvm nasm xorriso grub-pc-bin qemu-system-x86

# Setup Rust Nightly
rustup default nightly
rustup component add rust-src rustfmt clippy
rustup target add x86_64-unknown-redox

1.5 Docker Development (Recommended for Mac/Windows or non-sudo Users)

If you are on macOS, Windows, or do not have sudo access on your server, use Docker to build the project.

# Build the dev environment
docker compose build

# Enter the container
docker compose run --rm draco-os bash

# Inside the container, you can run:
make all

1.6 Publishing to Docker Hub

To use this image on other servers (like your Ubuntu VPS), you can publish it to Docker Hub:

1. Log in to Docker Hub:

   docker login

2. Tag the image:

   # Using your username codemaverick143
   docker tag draco-os-draco-os:latest codemaverick143/draco-os:latest

3. Push the image:

   docker push codemaverick143/draco-os:latest

4. Pull on the server:

   # On your Ubuntu server
   docker pull codemaverick143/draco-os:latest

2. Build and Boot

Clone the repository and launch the system in QEMU:

git clone https://github.com/XplnHUB/Draco-OS.git
cd draco-os
make qemu

Once booted, type draco_voice & in the terminal to initialize the AI listener.

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Development Roadmap

Phase	Milestone	Description	Status
Phase 1	Foundational Voice	Wake-word detection + basic STT command execution.	Done
Phase 2	Custom Desktop Environment	Developed draco_shell with system status and teal UI accents.	Done
Phase 3	Contextual Vision	Framebuffer capture + Mistral.rs vision integration.	In Progress
Phase 4	Neural Optimization	Real-time code refactoring agents within the IDE.	Planned
Phase 5	Hardware Expansion	Native support for Raspberry Pi 5 and ARM64.	Planned

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Contributing

We welcome contributions from the community! Whether it's improving the kernel, optimizing AI models, or enhancing hardware support.

1. Fork the repository.
2. Create your feature branch (git checkout -b feature/amazing-feature).
3. Commit your changes (git commit -m 'Add amazing feature').
4. Push to the branch (git push origin feature/amazing-feature).
5. Open a Pull Request.

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License & Credits

Distributed under the MIT License. See LICENSE for more information.

• Redox OS: Special thanks to the Redox OS team for the incredible foundation.
• AI Libraries: Powered by whisper-rs and mistral.rs.

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Built with heart by Arpit Sarang and the Draco-OS Community.
"Say 'Draco' to wake the future of operating systems."