Strawberry vs Browser Use

A web agent you have to build with is a project before it is a result.

Think about the job you keep doing by hand because automating it needs someone else.

Say it is the price check you owe the buying team every Monday. Sixty supplier portals, each behind a login, and you note what moved since last week.

The blocker is not the agent. It is the four days of engineering time that would sit between the agent and your Monday.

Browser Use documents that route clearly. Its product map describes agents you call with a goal and managed browsers your code drives, with the developer tools arranged around them. Its documentation index describes authenticating with an API key and calling agents from the Python SDK, the TypeScript SDK, or REST.

In Strawberry the same Monday job starts as a sentence. You tell your AI companion which sixty portals, what counts as a change, and which sheet the buying team orders from.

The person who owns the Monday job should be the one who sets it up.

Whoever feels the pain of a job is the only one who knows how it is really done.

Which supplier quotes list tax separately. Which portal shows last year's price until you switch the tab.

That knowledge never survives a handover to a backlog. Written into a ticket it comes back as an integration that is technically correct and wrong about the two things that mattered.

So Strawberry puts the setup where the knowledge is. You brief your AI companion the way you would brief a new colleague. It keeps what it learns about your suppliers for next week, and the week after that.

There is no key to issue and no library to install. The buyer who wanted the price check can be the person who set it up, on a laptop with no terminal on it.

There is no separate profile to set up, because your AI companion uses the session you opened this morning.

Nothing has to be provisioned before Monday.

Your AI companion opens the supplier portals from the session you signed into this morning, and the invoicing tool and the internal wiki open the same way.

Browser Use documents a different arrangement. A profile persists cookies, local storage and login state across browsers, so you log in once, save the profile, and reuse it to start future browsers already logged in. Its guidance is one profile per end user.

That is also why Strawberry reaches 2,000+ integrations. The finished work needs somewhere to arrive. The sixty prices land in the buying team's sheet, each cell linked to the page it came from, with last week's figure beside it.

When a supplier redesigns their portal, you fix it in a sentence.

Every recurring browser job eventually breaks, because somebody else redesigns something on a Tuesday you were not told about.

Browser Use documents a code-shaped answer. A cloud agent can save the working code in its workspace, and later runs reuse that script, fetch fresh data from the live site, and repair the code if the site changed.

Strawberry keeps the answer in language. You tell your AI companion what the portal does now, it carries on, and the correction is saved into the skill so next Monday already knows.

Then give the job a schedule, or a trigger such as a new email arriving. Every run is recorded with what it did and what it cost, so a Monday that quietly stopped working is visible rather than assumed.

Approval should already be there, not something you have to build.

Reading a supplier page, drafting the order note, sending it and changing a price in the system are four different amounts of risk. Strawberry treats them as four separate decisions.

Every connected action is set to ask, always allow, or off. It can draft order notes in your inbox all day and send none of them. Payments can be off entirely.

Approval opens a real editor. You see the recipient, the exact text and the attachments, and you can change any of it before it goes. Browser Use documents a human checkpoint you assemble in code. The run stops, your code reads the live view URL from the event stream, and a person takes over the browser. A further run then continues the session. Its documentation adds that live view URLs should be treated as credentials.

Then hand the whole thing over. An AI companion carries its memory, its skills and its connected accounts. The next buyer inherits your Monday, not a repository they cannot read. Your team workspace holds the shared files, and shared credits cover whoever needs them.

Frequently asked questions