AI workspace OS

For self-hosted AI teams

PromanOS Mini gives every AI goal its own workspace

Keep each project in its own AI workspace with the right files, tools, models, and execution path.

Windows .exe release first. Linux and Docker install paths are below.

PromanOS workspace for one project
Workspace overview

Move from prompt to execution without switching surfaces.

Start a dedicated Mini for product work, support, operations, or research and keep the workflow structured from the first prompt.

Self-hosted

Keep infrastructure on your side

Run on your own servers and keep control of runtime, secrets, and data paths.

Separate workspaces

Separate work by goal

Give product, ops, support, or research their own Mini so context stays clean and execution stays focused.

Switch models freely

Bring your model stack

Connect local models, hosted APIs, and your own tools without rewriting the workspace around them.

Quick start

Download it or launch it with one command.

Start with the Windows release, or copy the command for Linux and Docker. The active tab stays in the URL so reloads keep the same setup path open.

Deployment paths

Start on Windows for local use, switch to Linux for server setups, or use Docker when you want a container-first runtime.

Windows

Download Windows .exe or install with PowerShell

Start with the Windows .exe release, or run the quickstart to install into C:\PromanOS.

PowerShell quickstart

Product preview

See the workspace before you install.

Keep one project focused, split work across separate Mini instances, and change tools or models without rebuilding how the workspace feels.

Run a focused workspace for one project

Keep one goal, its files, and its execution path together instead of bouncing between tabs and tools.

Split work across multiple Mini instances

Give different goals their own workspace so context stays clean and repeated workflows stay fast.

Connect tools and models without lock-in

Switch between local models, hosted APIs, and your own tooling without relearning the product surface.