ChatGPT Atlas alternative

Recurring work stays slow while someone has to start it from nothing every month.

Think about the report you rebuild from scratch every month.

Say it is the competitor sweep your head of product asks for on the first Monday. You need what each rival shipped since the last one. You need the prices that moved and the pages that quietly changed. Your head of product only wants the difference.

None of it is hidden. It sits on their sites, in their changelogs, in the notes you took four weeks ago and cannot find now. It is slow because a person has to go and look at all of it again.

Strawberry does the looking. Your AI companion opens the sites, reads the changelogs and works across many tabs at once. It measures what it finds against the sweep it wrote last month, because that file is still sitting in your workspace. What comes back is the difference, with a source beside every line.

A browser earns its place at work when the result can land in the tools your team pays for.

Strawberry is not a chat product with a browser attached.

It is the browser, so your AI companion works in the sessions you already have open. It reads the billing dashboard because you are signed into the billing dashboard. It edits the internal wiki because your account can edit it.

That is also why the number is 2,000+ integrations rather than a short connector list. Last month's sweep is still a file in your workspace, and this month's rows land in your sheet beside it with a source on each value. The follow-up waits in your inbox as a draft. The issue is filed in Linear against the right project, with the customer's words attached.

Atlas was OpenAI's Mac browser built on Chromium, with an Ask ChatGPT sidebar for questions about the page you were reading.

What your AI companion learns should be a file you own, not a setting inside someone else's product.

Atlas held browser memories, described as facts and insights from your browsing rather than full page content, managed in its own settings. Deleting your browsing history deleted the browser memories attached to it. When the browser was retired, OpenAI's guidance said bookmarks, open tabs and browser history would not transfer automatically.

Strawberry keeps your context somewhere you can point at. Each AI companion has its own memory file, its own skills and its own instructions. The memory and the skills are ordinary files in your workspace, so you can read them, search inside them, correct a line that is wrong, and take them with you.

That workspace keeps version history for every synced file, so you can see when something changed and why. Anything deleted stays recoverable for 30 days. A project is just a folder, so who can see it follows the folder rather than a product setting.

You decide action by action what your AI companion may do, and you see it before it happens.

The rules outlast the run.

Every connected action in Strawberry is set to ask, always allow, or off, and it stays where you put it.

Start with everything on ask for the first week. Move drafting to always allow once you have read enough of its drafts. Leave payments off, and they are still off on the fortieth run.

What you approve is the message itself. The destination, the recipient, the full text and the attachments are all there, and all of them are still editable. On a reply it shows the address it resolved, and the rest of the thread is not copied in behind you. Atlas documented limits on agent mode: no code in the browser, no downloads, no extensions, and no reach into other apps or the file system. It also paused on sensitive sites such as financial institutions.

The sweep you run every month should run itself, and you should be able to hand it to a colleague.

Most of the work that matters repeats.

Your head of product will want this sweep again on the first Monday of October, and again in November.

Set it up once and Strawberry keeps how you like it done. It holds which sources you trust, how you judge what counts as a real change, and where you want to be asked before it carries on.

Then give it a schedule, or a trigger such as a new email arriving. Every run is recorded with what it did and what it cost, so you can check the work instead of trusting it.

Then hand the whole thing over. An AI companion carries its memory, its skills and the instructions you wrote for it. Your head of product receives the sweep itself, not a document explaining how you used to run it. Access does not travel with it. Anything behind a login, they connect under their own account. The team workspace keeps the shared files, and one credit pool covers whoever runs it that month.

Frequently asked questions