BrowserAct

What BrowserAct is

BrowserAct is a browser automation layer that gives AI agents a real Chrome browser instead of a headless scraper, so they can finish multi-step tasks on live websites. It launched in 2026 from a Singapore-based team and reached #1 Product of the Day on Product Hunt on June 25, 2026. The core is a local CLI that connects coding agents such as Claude Code and Cursor to real browser sessions, alongside an API and MCP server for wiring it into other systems and a canvas-based cloud workflow builder with Make, n8n, and Zapier integrations. Its defining feature is session persistence: login state, cookies, and browser context survive across tasks and runs. cookies, and browser context survive across tasks and runs, so an agent can keep working inside authenticated dashboards without re-authenticating every time. When a step needs a person, such as two-factor authentication, a CAPTCHA, or a manual approval, BrowserAct generates a remote-assist link so a human can take over the live browser, complete the verification, and hand control back to the agent; confirmation gates can also pause the agent before sensitive operations.

Completed workflows can be packaged as reusable skills through its Skill Forge layer, and agents can install community skills from the public GitHub repository. Instead of raw DOM dumps, it returns clean, indexed text with a natural-language description of browser memory, which keeps LLM context small and reasoning grounded. Multi-session isolation lets teams run parallel tasks under separate browser identities. Pricing is credit-based pay as you go rather than fixed monthly tiers, with a 7-day free trial and no credit card required to start. BrowserAct is developer-facing infrastructure: if you want point-and-click scraping robots, a no-code tool like Browse AI is the easier path; if you are building agents that must operate real, logged-in websites reliably, this is the layer built for that problem.

Where BrowserAct is the strongest pick

Agent workflows that have to finish tasks inside real, logged-in websites: multi-step jobs where session state must survive between runs and a human occasionally needs to step in for a verification or approval.

Pricing

No free plan. No permanent free plan. BrowserAct offers a 7-day free trial with trial credits and no credit card required, and its Discord community offers an additional 100 credits. After the trial, usage is billed through pay-as-you-go credits.

• Free Trial: $0 (7 days, no credit card). Trial credits to test the CLI, browser sessions, and skills. The Discord community offers an additional 100 credits.
• Pay as you go credits: from $0.064 per browser session (usage-based credit packs). Local fingerprint browser session at 100 credits, workflow steps at 5 credits per step (from about $0.0032), dynamic proxy data at 5,000 credits per GB (from $3.20 per GB), and static proxies priced per location per month. Per-credit cost drops at higher volumes.
• Cloud Browser: Not published (coming soon). Hosted cloud browser sessions. The vendor pricing page listed this as pricing TBD at review time.

Pricing verified June 2026 from the official site. Confirm current pricing before purchase.

Best for

Developers and automation engineers building AI agents that must operate real websites behind logins, keep session state between runs, and pause for human input when a verification step requires it.

Key features

• Real Chrome browser control for AI agents via a local CLI, with API and MCP access
• Persistent sessions: login state, cookies, and browser context carry across tasks and runs
• Handles authenticated sessions with human handoff: a remote-assist link lets a person complete two-factor, CAPTCHA, or manual approval steps, then return control to the agent
• Confirmation gates that pause the agent before sensitive operations
• Reusable skills: install prebuilt skills from the public GitHub repository or convert proven workflows into skills with Skill Forge
• Clean, indexed text output and natural-language browser memory built for LLM reasoning instead of raw DOM dumps
• Multi-session isolation for running parallel tasks under separate browser identities
• Canvas-based cloud workflow builder plus Make, n8n, and Zapier integrations

Pros

• Solves the authenticated last mile: sessions persist between runs and a human can be pulled in for verification steps instead of the task simply failing
• Wide integration surface: local CLI for coding agents like Claude Code and Cursor, API and MCP access, plus Make, n8n, and Zapier connectors
• Skills system makes working automations reusable across tasks and shareable through GitHub
• Fine-grained pay-as-you-go pricing with low per-step rates instead of a forced monthly seat
• Strong early validation: #1 Product Hunt Product of the Day on June 25, 2026 and a top-3 weekly finish

Cons

• Young product launched in 2026 with a short track record and no permanent free plan beyond the 7-day trial
• No fixed monthly tiers published; total cost spans several credit meters (browser sessions, workflow steps, proxy data), which makes budgeting harder than a flat subscription
• Cloud browser pricing was still listed as TBD at review time
• Automating logged-in accounts and verification steps can conflict with some websites' terms of service, so teams need their own compliance review
• Built for developers and agent builders; non-technical users will find no-code tools like Browse AI easier to start with

Best-fit use cases

• Giving coding agents like Claude Code or Cursor a real browser to research, test, and operate web apps during development
• Back-office automation inside logged-in SaaS dashboards where session state must survive between runs
• Multi-step web tasks such as forms, uploads, and order processing, with a human approving sensitive steps via remote handoff
• Wiring real-browser actions into existing Make, n8n, or Zapier workflows
• Packaging a proven website workflow as a reusable skill that agents can install and repeat

FAQ

How much does BrowserAct cost?

BrowserAct uses pay-as-you-go credits instead of fixed monthly plans. Published rates: a local browser session costs 100 credits (from about $0.064 per browser), workflow steps cost 5 credits each (from about $0.0032 per step), and dynamic proxy data costs 5,000 credits per GB (from $3.20 per GB). Cloud browser pricing had not been published at review time. A 7-day free trial with trial credits requires no credit card.

Is BrowserAct free?

There is no permanent free plan. BrowserAct offers a 7-day free trial with trial credits, no credit card required, and its Discord community offers an additional 100 credits. After that, usage is billed through credits across browser sessions, workflow steps, and proxy data.

How does BrowserAct handle logins and two-factor authentication?

BrowserAct handles authenticated sessions with human handoff. Login state, cookies, and browser context persist across tasks, so agents keep working inside accounts they are already signed into. When a step needs a person, such as two-factor authentication, a CAPTCHA, or a manual approval, it generates a remote-assist link so a human can take over the live browser, complete the step, and hand control back. Confirmation gates can also pause the agent before sensitive operations.

What agents and platforms does BrowserAct work with?

The local CLI connects coding agents such as Claude Code and Cursor to real Chrome sessions, and an API plus MCP server exposes the same browser control to other systems. A canvas-based cloud workflow builder covers no-code style flows, with integrations for Make, n8n, and Zapier. Reusable skills are distributed through a public GitHub repository.

How is BrowserAct different from Browse AI?

Browse AI is a no-code tool where business users train point-and-click robots to extract and monitor data from public web pages, and it is the easier choice for scraping without code. BrowserAct is developer infrastructure: it gives AI agents a real browser with persistent authenticated sessions, reusable skills, and human handoff for verification steps, which matters when the job is completing tasks inside logged-in sites rather than extracting data from public ones.