Pricing

The Free plan scans your computer and shows which Ora-supported models it can run. You will receive model recommendations, estimated performance, memory requirements, storage requirements, and suggested configurations.

The Free plan does not include Ora Core, the CLI, or the ability to run models.

Both Personal and Pro include Ora Core, the Ora CLI, local workspaces, and access to Ora's optimized model catalog.

Personal is designed for people who want to run private AI locally on their computer. Pro includes access to larger models, higher workspace limits, advanced agent capabilities, background runs, integrations, and secure remote access to agents running on your computer.

Model availability depends on your plan and hardware. Personal includes Ora's standard model catalog, while Pro includes larger and more capable models where supported.

The compatibility scan will show which models your computer can run before you subscribe.

No. Ora currently supports a curated catalog of models that have been tested, optimized, and distributed by Ora.

Users cannot import arbitrary models, compress their own models, or run unsupported model files through Ora.

Yes. Ora-supported models run on your own computer rather than being sent to a third-party cloud inference provider.

Some optional features, such as remote access, account synchronization, updates, or connected integrations, may require an internet connection.

Remote agent access is included with Pro. It allows you to securely interact with agents running on your Ora device from another browser or supported device.

Your Ora computer must be powered on, connected to the internet, and running the required Ora background service.

Ora is designed so that model inference and local workspace data remain on your device by default.

Remote access and connected services use encrypted connections and explicit permissions.

Ora Fleet is designed for teams and organizations deploying Ora across multiple users and computers.

It can include centralized device management, shared workspaces, controlled model deployment, permissions, SSO, audit logs, usage visibility, onboarding, and dedicated support.