Naomi Distribution


Only a quick reference and download links are provided below, all platforms and steps after the installation are not covered.

If you're new to Naomi, it is strongly recommended to read the Configuration Guide for a complete overview of your options and detailed instructions.

Choose your system
Raspberry Pi
Choose your version

Stable versions are thoroughly tested semi-annual official releases of Naomi. Use the stable version for your production environment if you don't need the latest enhancements and prefer a robust system.

Install Naobian (Recommended)

  1. Download and install Etcher
  2. Download the Naobian image (.img file) for your system from the repo:
  3. Note: sha256 checksum if you want to check the download f308875fba9ffad8868aa256e50df095eaa2cf159adebd490c4a555ae147ee1c

  4. Write the image to your SD card using Etcher
  5. Insert the SD card in your device, ensure the network is connected or setup the Wi-Fi first if you want to update & ssh into the device, and reboot!
  6. Unlike standard Raspbian which has a user 'pi' with a password 'raspberry', the Naobian image uses the following as default username and password:

    Default user:     pi
    Default password: Naobian

    As a network connected device, having a unique password significantly enhances your security and thwarts the majority of hacking attempts.

    We recommend setting a unique password for any device, especially one that is exposed directly to the internet.

  7. Go into the directory
  8. cd Naomi
  9. Run the app
  10. ./

    To update check for updates at any given time

    go into the Naomi dir (cd ~/Naomi) and run git pull

Manual Installation

  1. Follow the Config Documentation to setup the Audio Engine, Text-to-Speech, & Speech-to-Text.
  2. Fetch the repository
  3. curl -L "" -o
  4. Explode directory
  5. unzip
  6. Rename directory
  7. mv Naomi-2.2 Naomi
  8. Go into the directory
  9. cd Naomi
  10. Setup the install
  11. chmod +x
  12. Run the install
  13. ./
  14. Run the app
  15. python