Local-First AI Workspace
Start from the desktop, keep work close to your repos and files, and extend the same setup to remote environments when needed.
What the workspace model enables
Agents live inside folders, conversations are saved as files, workspace state stays inspectable, and the same setup can travel to remote machines when work moves there.
Why local-first matters
Strong agents need access to real projects, real files, and real tools. A local-first workspace keeps that environment close to the developer and team instead of hiding it behind hosted abstractions.
What teams gain
FAQ
What does local-first mean here?
It means the workspace begins on the desktop near the team’s repos, files, and tools rather than inside a hosted browser sandbox.
Can the same setup run remotely?
Yes. OpAgent already shows one agent environment for local and remote workspaces.
Is this only for developers?
No. The model is developer-friendly, but the core value is that teams can work with files, tools, and reusable agent capabilities in one place.
Why not just use a web workflow builder?
Workflow builders are useful, but they are not a substitute for a general workspace where agents can operate on real project context.
Start with a workspace your team already understands
Download the desktop app and run agents where your files, repos, and team context already live.