Omnigent quickstart
Omnigent is in Beta. For the open-source documentation, see the Omnigent documentation.
Omnigent runs as a managed deployment on Databricks: the server that coordinates your sessions is managed for you, and you sign in with your Databricks workspace identity. This page covers the setup that is specific to Databricks. See the open-source Omnigent documentation for more information about Omnigent features and functionality.
Prerequisites
You must have a workspace in a region that supports Databricks Unity AI Gateway. See Databricks feature availability by region.
To launch Omnigent on a Databricks Sandbox, you must also have:
- A workspace in a region that also supports Databricks Sandbox. See Limitations.
- The AI Gateway and Sandbox previews enabled for your workspace. See Manage Databricks previews.
To install Omnigent using the CLI, you must have:
- Python 3.12+
- Node.js 22 LTS with npm and tmux
Launch Omnigent on a Databricks Sandbox
The easiest way to run Omnigent is with a Databricks Sandbox: a managed cloud host that Databricks provisions for you. Your agent runs in an isolated, reproducible environment that stays on even when your laptop is asleep. Models route through your workspace's Foundation Model APIs over AI Gateway automatically, so there are no API keys to manage and your model usage inherits AI Gateway's governance and controls.
- In your web browser, navigate to
<workspace-url>/omnigent. - Select New session.
- Open the host picker and select Sandbox.
- Describe a task in the composer and send it to start the session.

Launch Omnigent on your own machine
Install Omnigent on your laptop or a Databricks VM, and register it as a host.
-
Install Omnigent with the
databricksextra, which adds the managed-platform integration.- Install script
- UV
- Pip
Bashcurl -fsSL https://omnigent.ai/install.sh | sh -s -- --extra "databricks"Bashuv tool install "omnigent[databricks]"Bashpip install "omnigent[databricks]" -
Set up model credentials. Run
omni setup, then add a credential for one or more agent harnesses:Bashomni setup
- To route models through AI Gateway, choose Databricks in the credential picker and enter your workspace URL.
- Otherwise, provide your own API key, subscription, or gateway.
-
Sign in with your Databricks identity and register the machine as an Omnigent host:
Bashomni login <workspace-url>
omni host --server <workspace-url> -
In your web browser, navigate to
<workspace-url>/omnigent. -
Select New session.
-
Open the host picker and select the machine you registered.

-
Describe a task in the composer and send it to start the session.
Connect the desktop app
The Omnigent desktop app is optional and is currently available on macOS only. Install the desktop app, then, once you have created a host, select Connect to new server in the app and enter your workspace URL.