The short answer, before anything else: Browser Use and Browserbase are not competitors. Browser Use is the decision layer, an LLM agent loop that figures out what to do on a page; Browserbase is the execution layer, cloud infrastructure that hosts real browsers at scale, and stacks routinely combine them. The real decision is cloud vs local, and it turns on parallelism, CI environments, and whose logins the task needs.
If the task touches your own logged-in accounts, that decision lands local, and ego (lite) is the local answer: a free browser built for sharing your logged-in browser state with AI agents. Every site you've signed into stays signed in, the agent inherits that state in its own Space, and your window stays untouched.
People search "Browserbase vs Browser Use" expecting a product duel. The premise is wrong in a useful way: these two occupy different floors of the same building.
Why isn't this actually a versus?
Map the stack and the confusion dissolves. At the top: something decides actions (a coding agent writing steps, or Browser Use's autonomous loop). At the bottom: a browser executes them, and that browser lives somewhere: your machine, or someone's cloud. Browser Use is a top-layer resident that can point at either bottom; Browserbase is a bottom-layer landlord that hosts browsers for any top layer, its own managed agents included.
Browserbase's own product surface confirms the floor it lives on: Sessions APIs, sandboxed runtimes, observability with session replays, a Search and Fetch API, and scale numbers (36.9M unique browser sessions in a March 2026 count, 10,000+ companies) that are infrastructure numbers, not agent numbers. Its open-source SDK Stagehand climbs one floor up, but that's a different comparison, which we've written separately.
Brain and building, not brand and rival.
The floors, laid out flat:
| Layer | Who lives there | What you pay for |
|---|---|---|
| Decision layer | Browser Use's loop, your coding agent, Stagehand-style SDKs | Model tokens per decision |
| Execution layer, cloud | Browserbase, Browserless, and similar hosted platforms | Session time, concurrency, platform features |
| Execution layer, local | Playwright/Puppeteer instances, ego (lite) with your real sessions | Nothing beyond hardware you own |
Every working stack picks one resident per layer. "Browser Use vs Browserbase" only sounds like a fight because both names start with browser.
When do you need a cloud browser?
Three conditions, and honestly only these three.
1. Parallelism beyond a laptop. If the job is four hundred concurrent sessions monitoring prices, no personal machine plays. Elastic browser fleets are exactly what Browserbase sells, and buying them beats building them.
2. No desktop in the environment. CI runners, serverless workers, and scheduled jobs on headless servers have nowhere local to put a real browser. Cloud sessions are the natural fit, which is why agent products integrate hosted-browser providers for their server-side tiers.
3. Operational offloading. Proxy management, CAPTCHA handling, session recording for debugging: the platform absorbs chores that otherwise become your infrastructure backlog. Real value, priced accordingly.
Notice what's not on the list: "my agent needs a browser." That's true of every agent task and doesn't imply cloud by itself.
A shape test with a real example: monitoring 400 product pages hourly for price changes is cloud-shaped (parallel, scheduled, no personal accounts involved), and checking your own four supplier portals every morning is local-shaped (sequential, personal logins, seconds of work). Same verb, opposite infrastructure, and teams that get this backwards either babysit a laptop farm or pay cloud rates for a task their machine did fine.
When is local enough?
For the daily-work majority: single-digit parallel tasks, on a machine you're sitting at, often touching accounts you're signed into. Local costs nothing, adds no network hop, and needs no vendor account.
The catch is that "local" defaults to a clean automation browser too: Playwright profiles, Browser Use's own browser, none of them carrying your sessions, and Browser Use's attach-to-real-Chrome path has documented reliability problems, with the founder acknowledging the instability.
There's a quieter local advantage worth naming: observability of your own work. When the browser runs on your desk, you can watch the task, take over a step that needs judgment, and hand control back, which no session replay from a cloud dashboard replicates. For tasks where you're the reviewer of record (your expense portal, your listings), that takeover loop matters as much as the login state.
ego (lite) closes that gap by combining what both sides reach for: the frameworks' programmatic control and the real logged-in sessions cloud browsers can never hold. It's a free browser built for sharing your logged-in browser state with AI agents like Claude Code and Codex.
Every site you've signed into stays signed in, the agent inherits that state in its own Space (isolated tabs, parallel tasks, your window untouched), and any agent that can run a shell command drives it through the ego-browser skill, with whole workflows executing outside the model's context.
What do the two stacks cost?
Shapes, not just totals. A Browser Use stack bills you model tokens per step (its cloud lists browser infrastructure from $0.02 per browser-hour, with hosted tiers above that); a Browserbase stack bills platform usage that scales with sessions and minutes; combined stacks pay both meters.
A local coding-agent stack (agent writes steps, browser runs them on your machine) pays only the agent subscription you already have, which is why it's the default recommendation here for individual daily work: ego (lite) itself is free, and the execution model spends single-digit rounds per task instead of per-step loops.
The honest caveat in the other direction: once your workload genuinely needs a thousand parallel sessions or a CI fleet, local stops being an option at any price, and the cloud line item is simply what the capability costs. The decision checklist compresses to three questions: how many sessions at once, does the environment have a desktop, and whose logins does the task need. Answer those and the stack picks itself.
See ego (lite) vs Browserbase in detail, or download ego (lite) for Mac, free.
FAQ
Can I use Browser Use with Browserbase?
Yes; that's the intended pairing for scale: Browser Use supplies the agent loop, Browserbase supplies hosted browsers underneath it. You'll pay both layers (model calls plus session time), which makes sense exactly when condition one or two above holds.
Is Browserbase free?
It has a free trial and paid platform tiers; it's a commercial infrastructure product. Its SDK Stagehand is open source. Browser Use is free to self-host (MIT) with paid cloud options. ego (lite) is free outright.
How big is Browserbase, actually?
By its own published counts: 10,000+ companies, roughly 36.9 million unique browser sessions in a March 2026 month, and customers including Microsoft, Ramp, and DeepMind. Whatever you conclude from this comparison, the cloud-browser layer itself is established infrastructure, not an experiment.
Which is better for scraping behind logins?
Depends on whose logins. Test accounts at scale: cloud sessions with scripted auth work fine, and Browserbase's platform handles the operational side. Your own accounts: keep them local in a browser that already holds the sessions; shipping personal credentials into any cloud automation stack is the wrong risk for the convenience.
What about Browserbase's own agents and Stagehand?
Browserbase does climb into the decision layer: it offers fully managed agents driven by prompts, and its open-source SDK Stagehand mixes Playwright-style code with AI primitives. Those compete with Browser Use more directly than the core platform does; we compare that trio separately in the Stagehand article.
Do I need any of this if I just have a coding agent?
For individual-scale work, no: your agent plus a local browser covers it. Add Browser Use when tasks need autonomy on unknown sites, add Browserbase when volume or environment forces the cloud, and start with the free local layer to find out whether you're actually forced.
