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Kane CLI

AI AppsAI Code Review & Testing#54Freemium · Web, Chrome

Kane CLI is a command-line tool for AI browser automation. Describe a test in natural language and it drives real Chrome from your terminal, returning pass or fail with replayable, tamper-evident evidence.

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Kane CLI screenshot
Kane CLI screenshot

Kane CLI is a terminal-native AI browser automation tool from TestMu AI. You describe a test in natural language, and it drives a real Chrome browser from your terminal, running the flow and returning a clear pass or fail. It is designed as a testing agent for SDETs and integrates into local development and CI/CD workflows.

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Every run ends in an .evidence artifact you can open, with oracle-checked verdicts, a replayable trajectory, and portable, shareable, tamper-evident results. Coverage is rolled up per use case and gaps are ranked by risk, with autoheal and smart waiting built in. Kane CLI can run flows from any terminal, target multiple environments in one command, and run headless or visible.

Kane CLI authenticates against TestMu AI so runs, screenshots, and test cases can sync with the KaneAI dashboard and your team's workspace. It is free to install and use: local authoring and local runs are free, while cloud runs are billed against your KaneAI plan's monthly credits. Signing up for TestMu AI needs no credit card, and the free tier is enough to try the CLI end to end.

  • CategoryAI Code Review & Testing
  • Pricing ModelFreemium
  • DeploymentCloud, Runs locally
  • PlatformsWeb, Chrome

  • AI browser automation from the terminal

  • Natural language test authoring

  • Drives real Chrome, headless or visible

  • Autoheal and smart waiting built in

  • Multi-environment runs in one command

  • Tamper-evident, replayable .evidence artifacts

  • Oracle-checked verdicts and risk-ranked gaps

  • Syncs runs and test cases with the KaneAI dashboard

  1. Install: Run npm install -g kane-cli in your terminal.

  2. Sign up: Create a free TestMu AI account to authenticate, no credit card required.

  3. Write a test: Describe a flow in natural language, for example verifying a checkout flow.

  4. Run it: Execute the test against real Chrome, headless or visible, in any environment.

  5. Review evidence: Open the .evidence artifact to inspect the replayable, tamper-evident result.

  • Local pre-deploy checks
  • CI/CD test runs
  • Natural language authoring
  • Evidence-based verdicts

From TestMu AI

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