A production-grade Browser Use alternative for AI agents
Kane CLI is the production-grade Browser Use alternative. No Python and no API keys, just a plain-English objective that drives a real browser, self-heals when the UI changes, and returns a verified pass or fail. Free to install.
or read the documentation
Why teams move from Browser Use to Kane CLI
Browser Use lets an LLM drive a real browser from Python, perfect for prototyping a browsing agent. But in production you inherit the work: model wiring, keys and token spend, page changes, your own assertions, reporting, and CI.
Kane CLI moves that into the tool: a single CLI with a managed model that drives a real browser, adapts when the UI shifts, asserts, and reports a verified pass or fail with video. Cached test.md replay keeps CI cheap.
And you keep the escape hatch: any flow exports to native Playwright with one command, so you are never locked into a Python library or shut out of the code underneath.
Kane CLI vs Browser Use
The same idea, an LLM driving a real browser, with a different contract for production.
| Capability | Kane CLI (TestMu AI) | Browser Use |
|---|---|---|
| How the agent drives the browser | Plain-English objectives from any terminal | Write Python and wire the LLM to the browser |
| Model and API keys | Managed model, nothing to configure | Bring your own model and API keys |
| Resilience when the UI changes | Self-heals, then replays the validated flow from cache | Re-reads and re-plans each run, no cached healing |
| Verified pass or fail | Built-in assertions, returns pass or fail | You interpret the agent output yourself |
| Replay and caching, no repeat LLM cost | test.md replays with no repeat LLM tokens | |
| Clean CI exit codes | 0 pass, 1 fail, 2 setup, 3 timeout | |
| Cross-browser and cross-OS test grid | Run across real browsers and OS on the TestMu AI grid | |
| Evidence and reporting | Video, step trace, shareable links, dashboard | Console and log output |
| Native Playwright export | One command to export Playwright code | |
| Ongoing maintenance | Maintained CLI, no scripts to babysit | You maintain Python, prompts, and glue code |
What you get with Kane CLI
Everything Browser Use leaves you to build, handled by the tool.
No Python, no keys
Skip the Python harness and model and API key wiring. Install one CLI, describe the journey in plain English, and Kane CLI drives a real browser with a managed model.
Resilient by default
When the frontend changes, Kane CLI adapts on its own, pushing through up to 50 steps until the full journey is verified instead of breaking on a moved element.
Verified pass or fail
Built-in assertions check each step, not just the final screen, and flag the exact point of failure. A real result, not raw agent output to parse.
Replay and caching
Validated flows replay from a cached test.md with no repeat LLM cost, so re-running the suite in CI does not keep burning tokens.
Cross-browser cloud and CI
Scale to cross-browser and cross-OS runs on the TestMu AI grid with one flag, and gate pipelines on clean exit codes from your terminal.
Own the Playwright code
Export any validated flow to native Playwright with one command, then modify and own it. The convenience never locks you into a Python library.
Build up confidence locally
Start in your terminal
Validate on the cloud
Release with confidence
From prototype to production, on one engine
Kane CLI and KaneAI share the same automation engine and dashboard.
Prototype to production
Browser Use is great for prototyping a browsing agent. Kane CLI is the production-grade, test-focused path: assertions, caching, evidence, and CI built in.
Built for the agent loop
Generate code, then verify it in a real browser before opening a PR. Kane CLI closes the gap between what an agent writes and what works.
Evidence you can share
Every run produces a persistent video, step trace, and replay link to drop into a PR or bug report, backed by a dashboard your team can browse.
Replace Browser Use in three steps
Install
Run npm install -g @testmuai/kane-cli, then sign in with your TestMu AI account. No Python project to set up and no API keys to manage.
Describe the flow
Tell Kane CLI what to do in plain English, or point your AI coding agent at the agent guide and let it drive the browser.
Run and verify
Kane CLI drives a real browser, verifies each step, and returns a pass or fail with video evidence. Re-runs replay from cache with no repeat LLM cost.
Get Started With Kane CLI
🎉 Launch offer: Bonus credits for the first 3 months on paid plans
Choose the right plan for you
Local test authoring via CLI
Auto-heal & vision
View test cases on UI
Test Manager
Free
$0
/month
200 Credits
Resets in every
30 days
Starter
$19
/month
2000 Credits
Launch: 4,000 Credits (+100%)
Bonus for first 3 months
Pro
$99
/month
10,000 Credits
Launch: 15,000 Credits (+50%)
Bonus for first 3 months
Enterprise
Get access to solutions built on Enterprise-Grade Security, Privacy, and Compliances.
Need more credits?
Got a bigger use case in mind?
Let’s talk
Choose the right plan for you
Free
$0
/month
200 Credits
Resets in every
30 days
Starter
$19
/month
2000 Credits
Launch: 4,000 Credits (+100%)
Bonus for first 3 months
Pro
$99
/month
10,000 Credits
Launch: 15,000 Credits (+50%)
Bonus for first 3 months
Enterprise
Get access to solutions built on Enterprise-Grade Security, Privacy, and Compliances.
Need more credits?
Got a bigger use case in mind?
Let’s talk
Get the technical rundown
Documentation
Everything you need to install, configure, and run Kane CLI in under 2 minutes.
Frequently asked questions
Kane CLI by TestMu AI is the leading Browser Use alternative for production-grade, test-focused browser automation. Browser Use is an open-source Python library: you write Python, bring your own model and API keys, and the LLM drives the browser, which is great for prototyping. Kane CLI takes a plain-English objective from any terminal, drives a real browser with a managed model, self-heals when the UI changes, verifies with built-in assertions, and returns a clean pass or fail with video evidence. No Python and no API keys to wire up.
Browser Use (browser-use) is a popular open-source Python library that lets an LLM control a real browser. You install it, write Python to define the task, bring your own model and API keys, and the agent reads the page and decides what to click and type. It is a strong choice for building and prototyping browsing agents, but resilience, assertions, caching, reporting, and CI integration are left for you to build.
Three big differences. First, no Python to maintain and no model or API keys to wire up, because Kane CLI is a single CLI with a managed model behind it. Second, it is resilient by default and verifies outcomes with built-in assertions, returning a real pass or fail instead of raw agent output. Third, it ships with replay and caching so re-runs cost no repeat LLM tokens, clean CI exit codes, cross-browser cloud, shareable video and a dashboard, and one-command native Playwright export.
No. The open-source Browser Use library expects you to bring your own model and API keys and pay for every token on every run. Kane CLI uses a managed model out of the box, so you install it and go. Validated flows also replay from a cached test.md with no repeat LLM cost, so frequent CI re-runs do not keep burning tokens.
Yes. Any validated flow exports to native Playwright with one command. You get plain-English authoring and a managed runner, and full ownership of the generated Playwright script whenever you want to take it further. Browser Use does not produce portable Playwright tests for you.
Yes. Authenticate with your TestMu AI credentials, pass --headless and --timeout on each run, and gate your pipeline on the exit code: 0 pass, 1 fail, 2 setup or auth errors, 3 timeout. Clean, scriptable results without building your own harness around a Python library.
Teach your agent the right skills
Point your AI coding agent at the Kane CLI guide and it will install, authenticate, and run verified browser flows on its own, no Python or API keys required.
Point your agent to: testmuai.com/kane-cli/agents.md