Magnitude alternative

Magnitude alternative for AI browser testing

Kane CLI is the Magnitude alternative. Vision-grounded natural-language tests with a managed model, cached replay, autoheal, a verified pass or fail, and clean CI exit codes. No model setup, free to install.

npm install -g @testmuai/kane-cli

or read the documentation

Why teams move from Magnitude to Kane CLI

Magnitude is a vision-first browser agent and AI-native test framework with a dual-agent design: a planner builds a general plan, an executor runs it, and the saved plan replays cheaply. It is a strong open-source approach, but you set up and self-host the model and assemble the verdict and reporting yourself.

Kane CLI maps the planner, executor, replay model directly: it authors a flow, runs it, and replays a cached test.md with no repeat LLM cost. The model is managed, so there is nothing to self-host, and every run returns a deterministic pass or fail with confidence scoring and shareable evidence.

Clean CI exit codes and one-command native Playwright export round it out, with a free tier to start.

Kane CLI automating a browser flow from natural language

Kane CLI vs Magnitude

Both are vision-first with a plan-and-replay model. Kane CLI adds a managed model and a verdict contract.

CapabilityKane CLI (TestMu AI)Magnitude
PerceptionVision-grounded executionVision-first browser agent
Plan and executeAuthors then replays a cached test.mdPlanner builds, executor runs
Cheap re-runsCached replay, no repeat LLM costSaved plan replays
Model setupManaged model, nothing to self-hostSelf-host the executor model
Verified pass or failDeterministic verdict with evidenceTest results you assemble
Self-healingAutoheal plus confidence scoringRe-plans on change
Native Playwright exportOne command

What you get with Kane CLI

Everything Magnitude leaves you to set up, handled by the tool.

No code, no keys

Skip the SDK wiring and the model and API key setup. Install one CLI, describe the journey in natural language, 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 in.

Build up confidence locally

Start in your terminal

Start in your terminal

Validate on the cloud

Validate on the cloud

Release with confidence

Release with confidence

From prototype to production, on one engine

Kane CLI and KaneAI share the same automation engine and dashboard.

Prototype to production

Open-source agents and SDKs are great for prototyping. 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 Magnitude in three steps

1

Install

Run npm install -g @testmuai/kane-cli, then sign in with your TestMu AI account. No project to scaffold and no API keys to manage.

2

Describe the flow

Tell Kane CLI what to do in natural language, or point your AI coding agent at the agent guide and let it drive the browser.

3

Run and verify

Kane CLI drives a real browser, verifies each step, and returns a pass or fail with video proof. 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

Free

$0

/month

200 Credits

Resets in every

30 days

Free tier
Starter

Starter

$19

/month

2000 Credits

Launch: 4,000 Credits (+100%)

Bonus for first 3 months

Free tier
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Pro

Pro

$99

/month

10,000 Credits

Launch: 15,000 Credits (+50%)

Bonus for first 3 months

Complimentary License
Enterprise

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

Multiple seats

Get the technical rundown

Blog

A look at Kane CLI. What we built, what it does, and where it is headed.

Documentation

Everything you need to install, configure, and run Kane CLI in under 2 minutes.

GitHub

Browse the source, file issues, and follow the roadmap on GitHub.

Frequently asked questions

Kane CLI by TestMu AI is the leading Magnitude alternative for AI browser testing. Magnitude is a vision-first, planner-executor framework you self-host. Kane CLI authors and replays a cached test.md with a managed model, is vision-grounded, self-heals with confidence scoring, and returns a verified pass or fail with evidence and clean CI exit codes.

Magnitude is an open-source, vision-first browser agent and AI-native test framework. It uses a dual-agent design where a planner builds a general plan and an executor runs it, and the saved plan replays cheaply and consistently. It can self-host a Moondream executor.

Kane CLI ships a managed model, so there is no executor to self-host. It returns a deterministic pass or fail with confidence-scored matching, replays from a cached test.md with no repeat LLM cost, captures shareable evidence, gates CI on clean exit codes, and exports to native Playwright with one command.

No. Kane CLI ships a managed model out of the box, so you install it and go. Validated flows replay from a cached test.md with no repeat LLM cost, keeping CI re-runs cheap.

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 SDK or API keys required.

Point your agent to: testmuai.com/kane-cli/agents.md