A browser agent is software that operates a web browser for you.
You give it a task in plain language, and it opens pages, reads them, clicks, types and returns a result, instead of you doing those steps by hand, much as a workflow tool like Activepieces takes over repetitive steps you would otherwise do yourself.

FastBrowse Agent presents itself as one. On 2026-10-31, fastbrowse.ai said its results are "backed by quoted page text" and that credentials stay out of model prompts. Both are the maker's claims, dated and linked here, and we haven't verified either.
FastBrowse Agent and the team that made it
FastBrowse Agent is a new agent product published at fastbrowse.ai, with its source in the agent-labs-dev/fastbrowse repository on GitHub; the plan figures are on the pricing page.
Who built FastBrowse Agent and its release date
That's the maker we can name from the evidence, because the repository sits under the agent-labs-dev organization.
Treat the organization name as a label, not a track record. We found nothing here that tells you how long the team has shipped software or how it handles support.
Read the first release date in the repository's own release history, not in a date repeated in this article. If you already wire agents into workflow tools, that history is the first thing to check before you add anything new.
Read the fact box below for how little is established, not how much. It shows what was confirmed on the check date and what wasn't.
- Product name: FastBrowse Agent, as titled on fastbrowse.ai.
- Maker: agent-labs-dev, the organization that owns the repository.
- Repository: github.com/agent-labs-dev/fastbrowse.
- Check date: 2026-10-31.
Because we didn't test behavior, every capability claim that follows is the maker's, unverified; the site and the repository exist and name the product. Next, those claims are laid out with their dates and links.
Everything below works on Activepieces' free plan. Start without code or a credit card.
What FastBrowse Agent does, per its own docs
The maker's repository page can't be quoted as a capability: it gives a project name and a publisher, and no description of what the agent does. The only statements of capability come from the maker's site, and they are short.
Stated capabilities of FastBrowse Agent
We have two pages. One is the GitHub repository named fastbrowse, published under the agent-labs-dev organisation. It's a file listing, and no README description is shown. The other is fastbrowse.ai, which makes the two claims in the last two rows.

The table records what each page does and doesn't say, so the empty rows are findings, not omissions.
| Capability | Maker's wording | Page linked | Date checked | Measured figure |
|---|---|---|---|---|
| Project identity | "fastbrowse" | github.com/agent-labs-dev/fastbrowse | 2026-10-31 | Not stated |
| Publisher | "agent-labs-dev" | github.com/agent-labs-dev/fastbrowse | 2026-10-31 | Not stated |
| What the agent does | No description shown | github.com/agent-labs-dev/fastbrowse | 2026-10-31 | Not stated |
| Evidence for results | "backed by quoted page text" | fastbrowse.ai | 2026-10-31 | Not stated |
| Credential handling | Credentials kept out of model prompts (our paraphrase) | fastbrowse.ai | 2026-10-31 | Not stated |
Prices and plan limits checked against fastbrowse.ai and github.com on October 31, 2026.
You learn where the code lives and who to ask from the name and publisher. They don't tell you what it'll do on your network, so no capability should be assumed from the product name alone.

fastbrowse.ai says it can be driven by a CLI, JavaScript or Python SDKs, an MCP server or a hosted API.
A file listing isn't documentation, but fastbrowse.ai says you can operate it from a command line (uvx fastbrowse) or call it through a hosted API. Until the maker states this, you can't plan access control or logging around it.
Before a pilot, an administrator needs supported tasks, permissions required, where data goes, and any performance claim, and the pages leave all of them unanswered. Ask the maker for each in writing.
Access and pricing for FastBrowse Agent today
You get FastBrowse Agent through hosted plans, from Free at $0 to Scale at $999 a month, as listed on 2026-10-31. Prices change, so recheck before you commit.
If you need something else, such as running it inside your own network, put that to the maker in writing: we haven't confirmed any self-serve route beyond the hosted plans below.
On the licence, fastbrowse.ai says it is MIT licensed, and it can also be run locally. Read the licence text itself and keep a copy dated the day you read it.
According to Ordalin, each plan includes a monthly run credit:
- According to Ordalin, Free ($0) includes $2 of runs a month; once the balance runs out the API refuses the run with a 402 until you top up. That's enough to test a few tasks, not to run a pilot.
- Starter ($29) includes $35 of runs, per Ordalin. The credit exceeds the fee, so the plan covers light, steady use.
- Pro ($199) includes $250 of runs. You get about $1.26 of runs per dollar paid, so a team running daily jobs gets a modest margin.
- Scale ($999) includes $1,400 of runs. That's about $1.40 per dollar paid, the best ratio listed, but only if you actually use the credit.
Credit isn't the same as a cap on cost. Confirm the terms in writing before any job depends on it.
Strengths and weaknesses of a brand-new browser agent
For now, the strengths are claims from the maker, and the weaknesses are the ordinary ones of age: no track record and limits nobody has yet tested, like the one above.
Credit isn't the same as a cap on cost. Confirm the terms in writing before any job depends on it.
Claimed strengths of FastBrowse Agent
Treat every strength on the maker's page as a dated, linked claim that we haven't verified. Benchmark scores show why.
On WebVoyager, a test of agents completing tasks on live websites, Benchmarklist's published results run from 73.2 to 98.5 percent of tasks passed.
That's a 25.3-point spread, so a single vendor score tells you little until you know where it sits in that range and how it was run.
Narrower still, Online-Mind2Web runs from 78.3 to 89.9 percent, an 11.6-point spread, according to Benchmarklist, meaning performance is inconsistent depending on the test scenario. A score of 85 could be mid-pack on one test and near the top on the other.
With a new tool, there is no history of breaking changes, no record of how its maker handles a bad release, and no community of operators who have found the sharp edges.
Pin the version, test against your own sites, and assume behavior may change without notice.
It shows open issues, closed issues and releases for agent-labs-dev/fastbrowse, read from GitHub on 2026-10-31. Closed issues outpacing open ones, and releases arriving steadily, suggest someone is maintaining the project.
Re-read those counts monthly, because a single snapshot can't show direction.
Easier to see it running than to read about it: set it up free, no card.
FastBrowse Agent compared with established browser agents
Against established browser agents, FastBrowse Agent has the thinnest record: the others have known routes and measured traffic, while its maker has stated little. HUMAN Security's counts, reported via Backfield, set the baseline.
FastBrowse Agent versus other browser agents table
Read the table as what each tool says about itself on five points. Every "Not stated" is a question to put to the vendor before you plan around it.
| Tool | Access route | Price model | Open or hosted | How driven | Maturity |
|---|---|---|---|---|---|
| FastBrowse Agent | CLI, JavaScript and Python SDKs, MCP server, hosted API | Per-run fee plus usage, never below $0.005 | Open (MIT) and hosted | CLI, SDK calls, MCP tool calls | New |
| OpenAI browser agent | ChatGPT Agent, Atlas browser | Not stated | Hosted | Plain-language tasks | In wide use |
| Anthropic computer use | API, Claude in Chrome | Not stated | Hosted | Tool calls from your code | In wide use |
| Browser Use | Library | Not stated | Open | Your code | Established |
| Playwright MCP | MCP server | Not stated | Open | MCP tool calls | Established |
The traffic counts cover four browser agents. Comet is Perplexity's agentic browser. Atlas is OpenAI's browser, and Claude Chrome is Anthropic's Claude in Chrome extension. ChatGPT Agent is OpenAI's hosted agent inside ChatGPT.
Of those four hosted products, Comet carries 48.1% of agentic traffic, so most sites already see that agent. Atlas has 21.3%, Claude Chrome 17.3% and ChatGPT Agent 8.6%, so none commands majority adoption in this category. FastBrowse Agent has no share on record.
Choose an established tool when a failure costs you customers. Comet's 48.1% means its behaviour is already well observed; FastBrowse Agent's isn't, making FastBrowse Agent the less-validated option.
Try it in a sandbox, on disposable tasks, with logging on. Moving it into production waits for answers to the "Not stated" cells.
Connecting FastBrowse Agent to Activepieces workflows
As of 2026-10-31, Activepieces listed no FastBrowse integration, so any connection is something you build. Each route below holds only if FastBrowse's docs confirm it. The list runs from simplest to most involved, and we've tested none of them:
- An HTTP request step, if FastBrowse exposes an API.
- An AI step pointed at a custom or OpenAI-compatible provider, if FastBrowse speaks that protocol.
- An MCP server, if FastBrowse offers one.
Pick the earliest option the docs support, because each later one adds moving parts you must maintain.
HTTP request step
If the docs publish an endpoint and an authentication method, a plain request step is enough. It's the easiest to audit, since the call, its inputs and its response sit in the workflow run history.

That history shows what was sent and returned, not what the agent did while browsing. Without a documented API, this route doesn't exist.
The workflow side, unlike FastBrowse, is something you can inspect before trusting it.
Activepieces has an MIT-licensed core, with its LICENSE file placing the enterprise directories under packages/ee/ on a separate commercial licence, 746 integrations counted in the community directory of its open GitHub repository, and a core whose code anyone can read.
Clone it, read the code, and run it self-hosted or fully air-gapped, so the workflow layer is settled before a single FastBrowse call goes through it. MoneyGram, Moneypenny, Alan and FundingSocieties run it in production.
The AI-step route stays unconfirmed: the repository page we read on 2026-10-31 shows no description of an API and no statement that FastBrowse accepts OpenAI-compatible requests, so nothing yet says an AI step would work.

If it doesn't, you'd be forcing a browsing agent into a chat-completion shape, and failures would surface as odd output rather than clear errors. Treat a compatibility claim as unconfirmed until a test run proves it.
FastBrowse ships fastbrowse-mcp, a server for MCP (Model Context Protocol), a standard for exposing tools to AI clients, so the agent can appear as a callable browse tool.
But you'd also be granting it whatever access that server carries. Confirm permissions in the docs before wiring it in.
A first-week plan for evaluating FastBrowse Agent
Spend the first week on one bounded trial, run in this order, so pricing and permissions are checked before anything touches a real account.
- Reread the pricing page and the docs, and note the date you read them.
- Pick one low-risk browsing task.
- Create a test account for it.
- Keep credentials out of scope.
- Run the task.
- Run the same task with an established option.
- Decide by a criterion you wrote down before step five.
Below, three subsections cover the steps where trials usually go wrong.
Choose a read-only job on public pages, such as pulling a price or a policy line from a site you don't own. A failed run then costs you an afternoon, not a changed record.
FastBrowse says results are "backed by quoted page text." That's the maker's claim. Check each quote against the live page yourself.
Limiting logins and spend for FastBrowse Agent
Use the test account and give it nothing of value. The maker also says credentials stay out of model prompts. That covers prompts only; it says nothing about what the browser session can reach.
So supply no real logins, and set a spend cap with any connected model provider before the run. If the docs don't state what the agent logs, treat that as unanswered.
Run the identical task with a tool you already trust, and score both on the criterion you preset: correct result, quotes that match the page, and effort to set up. If FastBrowse Agent doesn't clearly beat or match the baseline, stop there and revisit later.
Frequently asked questions
What the baseline can't answer
Whatever the baseline comparison shows, five practical questions remain that a benchmark can't answer, and the maker's pages settle few of them. Where a page is silent, the answer below is "unknown", and you should treat it as unconfirmed until the maker says otherwise.
Cost and licence
Is FastBrowse Agent free to use? Partly. Ordalin lists a Free plan at $0 with $2 of runs a month, and paid plans from Starter at $29 to Scale at $999, as of 2026-10-31.
The maker's own page, fastbrowse.ai, also states these plan prices and the Free tier.
Get the terms in writing before you put it in a workflow.
Is FastBrowse Agent open source? Yes. The source is public in the agent-labs-dev/fastbrowse repository, and fastbrowse.ai says it is MIT licensed. Public code isn't always open source, but here the project is MIT licensed.
Integration and logins
Does FastBrowse Agent work with Activepieces? Unknown. Neither the maker's pages nor the 746 integrations in Activepieces' community directory on GitHub name the other, as of 2026-10-31, so any connection would be something you build and test yourself, not something the maker supports.
Can FastBrowse Agent log in to websites for me? Unknown. The site says credentials stay out of model prompts, but the pages don't say how the agent handles credentials or multi-factor prompts.
Until that's documented, don't hand it a real account. Use a throwaway account with limited permissions, and expect the maker's logs, not yours, to show what it did.
Page updates
How often is the FastBrowse Agent page updated? Unknown. The page carries no visible changelog or revision history we could rely on. Record the date you read each claim, because a page that changes silently can contradict today's notes next month.


