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What’s included

Beta release for the Docker image openmindagi/om1, which provides the full setup of OM1 service in one go without having the user to install dependencies separately.

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Features

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v1.0.0-beta.3

  • Downgraded Python to 3.10 for better Jetson support.
  • Integrated Nav2 for state feedback and target publishing, with auto AI-mode disable after localization.
  • Zenoh configs/sessions moved to zenoh_msgs, now preferring local network before multicast.
  • Added avatar background server to communicate with the OM1-avatar
  • Improved avatar animation with thinking behavior and ASR response injection into prompts.
  • Added support for long range control of humanoids and quadrupeds using the TBS_TANGO2 radios.
  • Added sleep mode for ASR, if there’s no voice input for 5 min, it goes to sleep.

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v1.0.0-beta.2

  • Support for custom camera indices and enables both microphone and speaker functionality in Docker.

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v1.0.0-beta.1

  • Multiple LLM provider integrations(OpenAI, Gemini, Deepseek, xAI).
  • GoogleASR model for speech to text.
  • Riva and Eleven Labs for TTS.
  • Preconfigured support for Unitree Go2, G1, TurtleBot, Ubtech Yanshee.
  • Simulator support with Gazebo for Go2.
  • Multi-arch support - AMD64 and ARM64.

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Docker image

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Setup the API key

For Bash: vim ~/.bashrc or ~/.bash_profile. For Zsh: vim ~/.zshrc. Add 
export OM_API_KEY="your_api_key"
Update the docker-compose file. Replace “unitree_go2_autonomy_advance” with the agent you want to run. 
command: ["unitree_go2_autonomy_advance"]
The OM1 service is provided as a Docker image for easy setup: 
cd OM1
docker-compose up om1 -d --no-build
The docker image is also available at Docker Hub. For more technical details, please refer to the docs.