GitPedia

HomeGenie

HomeGenie: The Programmable Intelligence with 100% Local Agentic AI.

From genielabs·Updated June 7, 2026·View on GitHub·

**HomeGenie** is a HomeGenie: The Programmable Intelligence with 100% Local Agentic AI. The project is written primarily in JavaScript, distributed under the GNU Affero General Public License v3.0 license, first published in 2014. Key topics include: artificial-intelligence, automation, building-automation, computer-vision, gpio.

Latest release: v2.0.24
May 31, 2026View Changelog →
<p align="center"> <img src="https://genielabs.github.io/HomeGenie/images/homegenie_logo.svg" alt="HomeGenie Logo" width="150"/> </p> <h1 align="center">HomeGenie</h1> <p align="center"> <strong>The Programmable Intelligence, with 100% Local Agentic AI.</strong> <br /> <a href="https://homegenie.it"><strong>www.homegenie.it</strong></a> </p> <p align="center"> <a href="https://github.com/genielabs/HomeGenie/actions/workflows/msbuild.yml"><img src="https://github.com/genielabs/HomeGenie/actions/workflows/msbuild.yml/badge.svg" alt="Build Status"></a> <a href="https://github.com/genielabs/HomeGenie/releases/latest"><img src="https://img.shields.io/github/v/release/genielabs/HomeGenie" alt="Latest Release"></a> <a href="https://github.com/genielabs/HomeGenie/blob/master/LICENSE"><img src="https://img.shields.io/github/license/genielabs/HomeGenie.svg?v1" alt="License"></a> </p>

HomeGenie is an open-source, cloud-independent ecosystem for smart automation.
It delivers a complete, privacy-focused, local-first experience.
This includes firmware for DIY devices, an efficient backend service,
and dedicated mobile and tablet apps.
Take absolute control over your environment while keeping your data strictly private.

HomeGenie Dashboard

Create automations easily with the Visual Editor, or activate the built-in AI features
to control devices, build custom widgets, or create complex automations in seconds.

Getting started is effortless. HomeGenie's UI supports more than 90 languages,
and a built-in demo configuration guarantees an immediate, practical experience
from the very first moment.
The entire setup is portable and lightweight: just download the ZIP, extract, and run.

✨ Key Features

  • 100% Local Agentic AI: Run state-of-the-art LLMs directly on your HomeGenie
    server for autonomous reasoning, context awareness, and natural language control.
    Your data stays private, your intelligence stays local.
  • AI Vision Suite: Full integration of YOLO (Object Detection, Instance Segmentation,
    Pose Estimation) directly on server, ESP32-CAM modules, and generic IP cameras.
  • Universal API & Programmability: Automate anything with a fluent API programmable
    in C#, JavaScript, and Python. Create custom programs and widgets with
    full developer tools.
  • Advanced Scheduler with Genie Commands: Supports extended cron expressions,
    variables, conditions, and AI-driven natural language tasks for flexible automations.
  • Customizable Dashboard & Widgets: A modern, responsive UI with a powerful built-in
    editor to create and customize your own widgets using HTML, JavaScript, and CSS.
  • Multi-protocol Support: Integrated drivers for X10, Z-Wave, ZigBee, GPIO, SPI,
    I2C, IR/RF, and more.
  • Smart Display & FPV Car Integration: Transform ESP32 hardware into interactive
    smart displays or AI-powered FPV robotic platforms.
  • Visual Programming: Create complex scenarios intuitively with the Visual Program
    editor—no coding skills required.
  • Voice Control & i18n: Integrated support for voice commands and a fully localized
    UI across over 90 languages.
  • Extensible: Features groups, configuration backup, a package repository, and much more.

Full Features and Image Gallery

Documentation

For detailed guides, API references, and tutorials, visit the official documentation website:
https://genielabs.github.io/HomeGenie

<p align="center"> <a href="https://deepwiki.com/genielabs/HomeGenie"><img src="https://deepwiki.com/badge.svg" alt="Ask DeepWiki"></a> </p>

💾 Installation

You can find the latest release assets on the GitHub Releases page.

1. Choose your version

Download the .zip archive corresponding to your operating system, architecture, and
hardware acceleration needs:

PlatformArchitectureVariantOptimized ForTechnical Notes
Windowsx64win-x64Standard (CPU only)Maximum stability, no GPU requirements.
x64win-x64-cuda12NVIDIA GPUsHigh performance via CUDA 12 (LLM & Vision).
x64win-x64-vulkanAMD, Intel & NVIDIALLM via Vulkan, Vision via DirectX 12 (DirectML).
Linuxx64linux-x64Standard (CPU only)For servers or PCs without dedicated GPUs.
x64linux-x64-cuda12NVIDIA GPUsHigh performance via CUDA 12 (LLM & Vision).
x64linux-x64-vulkanGeneric GPUsLLM via Vulkan, Vision via CPU (No DirectML on Linux).
ARM64linux-arm64Raspberry Pi 3, 4, 5, Zero 2Optimized for 64-bit ARM SoCs (CPU-based).
ARMlinux-armRaspberry Pi 2Legacy 32-bit ARM support.
macOSx64 / ARMosx-x64Intel & Apple SiliconMetal support for Apple M1/M2/M3 acceleration.

2. Which one should I choose?

  • 🚀 NVIDIA Users: Download the cuda12 variant for the best performance in LLMs
    and Computer Vision. (Requires up-to-date NVIDIA Drivers).
  • 🎮 AMD / Intel / Windows Users: Use the vulkan variant to leverage your GPU for AI
    tasks. It's the best choice for non-NVIDIA hardware on Windows (via DirectX 12).
  • 🍎 macOS Users: The osx-x64 build supports Apple Silicon (Metal) and Intel
    natively for maximum speed on Mac devices.
  • ☁️ Server / Older PCs: If you don't have a dedicated GPU or are running a headless
    server, the standard versions (without suffixes) are the most stable and lightweight.
  • 🍓 Raspberry Pi / ARM: Choose linux-arm64 (for Pi 4/5 64-bit) or linux-arm
    (for older 32-bit systems).

3. Setup

After downloading, unzip the archive to your preferred location.

🚀 Starting HomeGenie

Inside the extracted folder, you will find the homegenie directory
containing the application binaries, along with a handy startup script
specifically tailored for your operating system.

Simply run the startup script to launch the server:

  • Windows: Double-click start.bat
  • macOS: Double-click start.command
  • Linux / Raspberry Pi: Run ./start.sh from the terminal
    (or double-click if your file manager supports executing shell scripts).

To gracefully stop the application, press CTRL + C in the terminal window.

🎨 Desktop App Experience (PWA)

By default, HomeGenie now launches as a desktop-style Progressive Web App (PWA).
The startup scripts (start.bat, start.sh, etc.) are pre-configured to pass
the --start-browser argument to the HomeGenie executable, opening the UI in
a dedicated, app-like window for a seamless experience.

Tip: If HomeGenie is already running in the background, launching the startup
script again will not start a second server. Instead, it will conveniently open a
new app window connected directly to your existing session.

For a traditional server-only or headless experience, simply edit the startup script
and remove the --start-browser flag from the execution command.

🛡️ Securing Your Installation (Sandboxing)

Since HomeGenie features advanced AI automation engines (like Gemini Automan)
capable of generating, compiling, and executing C# code on the fly, we highly
recommend running the application in a restricted, sandboxed environment to
ensure maximum system security when executing AI-generated code.

  • Dedicated System User (Linux - Recommended): Run the server using
    a dedicated, non-root user (e.g., homegenie) with a nologin shell.
    Grant this user read/write permissions strictly to the HomeGenie
    installation folder, isolating it from the rest of your OS.
  • Containerization: Alternatively, deploy HomeGenie using Docker,
    utilizing read-only volume mounts for the host system and restricting
    write access exclusively to the data directory.

Running as a System Service

HomeGenie can be run directly from a terminal for easy setup and testing,
or installed as a system service for continuous, unattended operation.

Linux (systemd)

  1. (Recommended) Create a dedicated user for the service and move the application files:

    shell
    # Create a new system user named 'homegenie' with its home directory sudo useradd -r -m -s /bin/false homegenie # Copy the application files into the new home directory # Assumes you are in the directory where you extracted the zip sudo cp -ar ./homegenie/* /home/homegenie/ # Ensure the ownership of all files is correct sudo chown -R homegenie:homegenie /home/homegenie
  2. Create a service definition file at /etc/systemd/system/homegenie.service:

    ini
    [Unit] Description=HomeGenie Automation Server After=network.target [Service] Type=notify User=homegenie Group=homegenie WorkingDirectory=/home/homegenie/ ExecStart=/home/homegenie/HomeGenie Restart=on-failure RestartSec=15s [Install] WantedBy=multi-user.target
  3. Reload the systemd daemon, then start and enable the service:

    shell
    sudo systemctl daemon-reload sudo systemctl start homegenie.service sudo systemctl enable homegenie.service

    You can check the service status with sudo systemctl status homegenie.service.

Windows

HomeGenie can be installed as a Windows Service using the built-in commands.
Open a Command Prompt as an Administrator, navigate to the homegenie
directory, and run:

shell
HomeGenie.exe --service install HomeGenie.exe --service start

For more options, see the official .NET documentation.

Accessing the UI

Once running, the HomeGenie user interface can be accessed from any web
browser at: http://<server_ip>:<port>/

  • <server_ip> is the IP address of the machine running HomeGenie.
  • The default <port> is 80, or the first available port starting from 8080.

You can find the exact address and port used by checking the serviceaddress.txt
file in the homegenie application folder.

🛠️ Post-Installation (Linux)

To grant HomeGenie access to hardware like serial ports, USB devices, and GPIO,
you may need to run additional commands.

Audio & Voice Synthesis

shell
# For audio playback sudo apt install alsa-utils lame # For embedded text-to-speech sudo apt install libttspico-utils

Serial Port & GPIO Access

Add the homegenie user to the dialout and gpio groups:

shell
sudo usermod -a -G dialout homegenie sudo usermod -a -G gpio homegenie

X10 (CM15/CM19) USB Controller

  1. Install the required library:
    shell
    sudo apt install libusb-1.0-0
  2. Create a udev rule to grant access. Create the file /etc/udev/rules.d/98-homegenie.rules
    with the following content:
    # CM15 and CM19 X10 USB controllers
    SUBSYSTEM=="usb", ATTRS{idVendor}=="0bc7", ATTRS{idProduct}=="0001", MODE="0660", GROUP="dialout"
    SUBSYSTEM=="usb", ATTRS{idVendor}=="0bc7", ATTRS{idProduct}=="0002", MODE="0660", GROUP="dialout"
    
  3. Reload the udev rules and reconnect the device:
    shell
    sudo udevadm control --reload-rules && sudo udevadm trigger

💻 Development

Contributing

Contributions are welcome! Please read the CONTRIBUTING.md file for guidelines.

Repository Structure

The main solution file is HomeGenie.sln located in the repository root.

  • src/HomeGenie: The main application project, (.NET 10).
  • src/HomeGenie.Tests: Unit and integration tests.
  • src/SupportLibraries: Utility libraries used by HomeGenie.
  • assets/: Contains build assets, UI source code, and deployment scripts.

Disclaimer

This software is provided "as is", without warranty of any kind.
See the LICENSE file for more details.

Contributors

Showing top 12 contributors by commit count.

View all contributors on GitHub →

This article is auto-generated from genielabs/HomeGenie via the GitHub API.Last fetched: 6/28/2026