Download Ora — ora-ai.app

Functional, not promotional. This page assumes you have already been persuaded by the rest of the site and need operational support. If you arrived here looking for the case for Ora, start with the reliability architecture, the AHI argument, and privacy and sovereignty.

Download link not yet live. The prototype is in active development; this page populates with the actual download package and instructions when the prototype is ready for external use. Returning here in the meantime gives you the rest of the operational orientation.

What Ora is, operationally

Ora is a sovereign AI system that runs locally on the user's machine. It comes with a framework library, a persistent vault, an adversarial verification pipeline, and a dual-pane workspace that operates text and visual canvas as co-equal modalities. The architecture is model-agnostic — any frontier model, any open-weights model, any future model can serve as the backend. The user provides the model relationship; Ora provides the architecture that makes the model useful for sustained work.

The whole stack is released to the public domain. No patents, no copyrights, no licenses, no permissions required. The user owns the install, owns the vault, owns the frameworks, owns the data.

Platforms

macOS — primary development platform. The author runs Ora on Apple Silicon (M-series). Installation instructions and a packaged installer ship at the same time the prototype is generally available.
Windows — supported. Installation instructions and an installer ship alongside the macOS release. Community-tested across recent Windows versions.
Linux — community-contribution path. The architecture has no platform-specific dependencies that would prevent Linux operation; a Linux build path is documented when contributors familiar with Linux packaging take it on. The Foundation does not currently maintain an official Linux installer; it welcomes the contribution.

System requirements (preliminary)

Final requirements ship with the actual download. Preliminary expectations: a recent multi-core CPU, 16 GB RAM minimum (32 GB or more recommended for sustained framework work and longer vault histories), local SSD storage for the vault (size scales with use), and a model relationship of the user's choice. Ora itself does not include a model; users connect their own provider account or run a local open-weights model.

The first-time experience

The first-time experience walks through model connection, vault location selection, framework library browsing, and a worked example using the framework classifier. The intent is that someone unfamiliar with cognitive-automation systems can be doing useful work in twenty minutes — not that they understand the entire architecture in twenty minutes, only that they have crossed the threshold from "interested visitor" to "active user." Architecture education accumulates over time through use.

Honest acknowledgment of the project state

The project is at an early version. Active development is ongoing. There will be rough edges. The methodology is solid; the polish is improving. The author runs Ora as their primary cognitive-automation system; the prototype is real, not a demo. But it is not yet packaged for general distribution, and "ready for external use" is the gate this page is waiting for.

When the download lands, this page rewrites to the operational form — system requirements final, installer link live, screenshots, troubleshooting, community resources.

For the foundation

Ora is the system the Ora Knowledge Foundation stewards. The Foundation's role is keeping Ora and the framework library free, defending the public-domain status, and supporting the open-source contributor community across the cognitive tools layer. The Foundation does not gate access to Ora; anyone can fork, modify, redistribute, or build alternatives without permission.