Vercel agent-browser alternative

The agent-browser alternative that returns a verdict

agent-browser hands your agent a fast, precise set of browser commands. Kane CLI takes the objective instead, drives real Chrome, and returns a pass or fail backed by evidence your CI can gate on. Free to install.

npm install -g @testmuai/kane-cli

or read the documentation

Where agent-browser ends and Kane CLI begins

agent-browser is a fast native Rust CLI that gives an agent precise browser commands: open, snapshot, click, fill. It is good at that job, and its accessibility-tree refs keep the context window small on purpose.

It stops at control, by design. There is no assert or expect command in its docs, so your agent still decides what working means by reading page state, and refs are invalidated whenever the page changes until it snapshots again.

Kane CLI takes the objective rather than the steps. It drives real Chrome, re-resolves intent when the UI shifts, and grants a pass only on evidence, then hands back NDJSON, an exit code, and a replay link you can share.

Kane CLI verifying a browser flow from a natural language objective in real Chrome

Kane CLI vs agent-browser

The same real Chrome underneath, a very different contract with your agent. Competitor values were verified against agent-browser's own documentation on July 27, 2026.

CapabilityKane CLI (TestMu AI)agent-browser (Vercel Labs)
Primary interaction modelNatural language objectives, no selectors or XPathImperative commands (open, click, fill, snapshot); natural language via the optional chat command
Element targetingIntent anchors to the user-facing element, nothing to maintainAccessibility-tree refs (@e1, @e2) from snapshot, plus CSS, text=, xpath= and role-based locators
When the page changes mid-runAutoheal re-resolves intent to the shifted elementRefs are invalidated on page change; docs instruct the agent to re-snapshot before retrying
Pass or fail run verdictBinary passed or failed, emitted in a run_end eventNo verdict command documented; is visible, is enabled and is checked return element state
AssertionsBuilt in; a pass requires evidence such as DOM state, URL change, network response or console logNo assert or expect command; state checks and baseline diffing are building blocks you compose
Machine-readable output for agentsNDJSON typed event stream via --agent --headless, ending in run_endCompact text by default; per-command --json envelope; batch --json returns an array
Exit codes for CI gating0 pass, 1 failed assertion, 2 error, 3 timeoutDocumented for the doctor command; no exit-code table for automation commands
Resilience within a single runAdapts and pushes through up to 50 steps per flowCommands fail early and name the covering element, then the agent retries
Context and token efficiencyPer-run token_usage reported in the run_end eventVendor figure: roughly 200 to 400 tokens per snapshot versus 3,000 to 5,000 for a full DOM
License and source availabilityCommercial product with a free planApache-2.0, full source public on GitHub
Cost to run locallyFree $0 with 200 credits; Starter $19/mo with 2,000; Pro $99/mo with 10,000; Enterprise on requestFree at any scale, no account required; chat mode and cloud providers billed by third parties
Runtime dependenciesNode.js 18+ and Chrome on PATHSingle native Rust binary, no Node.js at runtime; Chrome fetched by agent-browser install
Operating systemsmacOS, Linux x64, Windows x64macOS ARM64 and x64, Linux ARM64 and x64, Windows x64
Cross-browser coverageReal Chrome via CDP locally, plus cross-browser and multi-OS runs on the TestMu AI cloudChrome via CDP or the Lightpanda engine; Safari through the iOS path. Firefox and desktop WebKit are not listed as supported engines
Mobile testingReal device cloud with 10,000+ real devicesiOS Simulator and USB-connected iOS devices via Appium and XCUITest, needing macOS and Xcode; Android not documented
Remote and cloud execution modelFirst-party Browser Cloud, plus remote browser endpoints over WebSocket or CDPBring your own account with Browserless, Browserbase, Browser Use, Kernel or AWS Bedrock AgentCore
Geo coverageGeo proxies through TestMu AI Browser CloudRoutes through a proxy you supply, plus geolocation emulation; no geo network of its own
Test management and run historyAutomatic Test Manager sync for every runLocal dashboard on port 4848 with live viewport and activity feed; no run-upload backend documented
Shareable run evidenceShareable evidence links, session video and step tracesWebM recordings written to a local path; dashboard reachable locally or at a URL you proxy yourself
Code export to PlaywrightTwo-way export and migration via the testmu helper libraryNot documented
Auth and multi-account handlingSeparate auth profiles and Chrome profiles, multi-account, credentials stored at mode 0600Encrypted auth vault (AES-256-GCM), Chrome profile reuse, isolated named sessions, credential-provider plugins
Coding-agent integrationsSkills for Claude Code, Codex CLI and Gemini CLISkills for Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, Goose, OpenCode and Windsurf, plus an MCP stdio server
Human-in-the-loop controlsAn ask-user tool pauses a run for human inputAction approval prompts, action policy gating, allowed-domains limits and dashboard pair-browsing
Parallel execution within a runBifurcation into parallel sub-flows from one objectiveConcurrent isolated sessions; batch runs commands sequentially. Test-level sharding not documented
Support modelVendor-backed commercial plans, Free through EnterpriseCommunity support through GitHub issues; no commercial support tier or SLA documented
Maturity and adoptionPublic launch April 28, 2026v0.33.0, pre-1.0; 39,293 GitHub stars and ~1.13M npm downloads per week, observed 2026-07-27

Methodology

How this comparison was built

We built every agent-browser cell from material the project publishes itself rather than from a competitor teardown: the README on the main branch, the command, selector, snapshot, diffing, dashboard, recording, sessions, proxy and iOS pages on agent-browser.dev, and the GitHub API for license, release and adoption figures. Where a capability is not documented, the cell says exactly that instead of claiming the feature is missing, because silence in a README is not evidence of absence. Kane CLI cells come from its own product documentation and shipped behaviour. agent-browser is a fast-moving pre-1.0 project on a weekly release cadence, so re-check any figure that matters to your decision against the current docs.

Last updated

July 27, 2026

What was compared

26 head-to-head rows across interaction model, verification, CI, execution, evidence and support

Sources

agent-browser.dev docs, the vercel-labs/agent-browser README and GitHub API, and hands-on Kane CLI use

What Kane CLI adds on top of browser control

Everything a browser driver leaves to your agent, handled by the tool instead.

Objectives, not command sequences

Describe the journey once and Kane CLI plans the steps, drives Chrome, and verifies the outcome. No ref bookkeeping between snapshots, no selector maintenance, no glue code holding the run together.

A verdict, not page state

A pass is granted only when the expected state is confirmed by evidence: DOM state, URL changes, network responses, console logs, or your own assertions. The model never gets to declare success on its own.

Autoheal instead of re-snapshot

Intent anchors to the user-facing element, so a reworded label or a new CSS class does not end the run. Kane CLI works through cookie banners and redirects for up to 50 steps while the pass condition stays fixed.

Built to be gated on

Exit codes 0, 1, 2 and 3 map cleanly onto pipeline behaviour, with native patterns for GitHub Actions, GitLab CI, Jenkins and Bitbucket. Your build fails on a broken journey, not on a broken selector.

Evidence you can hand to someone

Every run syncs to Test Manager with session video, a step trace, and a shareable link you can attach to a pull request or a bug report. Reviewers see the run instead of taking your word for it.

No lock-in on the way out

Any validated flow exports to native Playwright through the testmu helper library, and migration runs both ways. You get natural language while authoring and full ownership of the code afterwards.

One Objective, Every Flow You Need Verified

One objective, not ten commands

Replace an open, snapshot, click, fill, re-snapshot sequence with a single sentence. Kane CLI resolves the path in real Chrome and reports what actually happened.

Headed while you debug

Watch the run in a visible browser while you iterate, then switch to headless for CI without rewriting a single objective.

Recurring jobs, same syntax

The syntax that verifies a login flow also runs a scheduled extraction. One tool covers testing and automation, with no context switch between them.

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

Built for the agent loop, not just the browser

Verification is the step that turns generated code into shipped code.

The agent writes, Kane CLI proves

AI coding agents reason about source code, so their idea of passing stops at the code surface. Kane CLI runs the application and checks the rendered result, which is the surface a user actually meets.

Non-determinism, contained

The model decides how to reach an element. It never decides whether the run passed. That split is what makes it safe to put a language model in front of a release gate.

One engine, two front doors

Kane CLI is the terminal-native surface of the same engine behind KaneAI. Humans run flows from the shell, agents through --agent, and both sync to the same dashboard.

Move from agent-browser in three steps

You do not have to rip anything out. Add the verdict where it matters most first.

1

Install alongside what you have

Run npm install -g @testmuai/kane-cli and sign in. Kane CLI drives your local Chrome, so it sits next to an existing agent-browser setup rather than replacing it on day one.

2

Move the checks that must not break

Take the flows you actually gate releases on, login, checkout, signup, and rewrite each as one objective. Keep agent-browser for the exploratory driving it is good at.

3

Gate CI on the verdict

Add --agent --headless in your pipeline and branch on the exit code. Your build now fails on a broken user journey instead of an unhandled page change.

Get Started With Kane CLI

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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 strongest agent-browser alternative for teams that need a verified outcome rather than browser control. agent-browser gives your agent precise commands to drive a page. Kane CLI takes the objective instead, drives real Chrome, and returns a binary pass or fail anchored to evidence, with an exit code your pipeline can gate on and a replay link you can share. Install it with npm install -g @testmuai/kane-cli. See Kane CLI for the full product.

agent-browser is an open-source browser automation CLI for AI agents from Vercel Labs, published under Apache-2.0 and shipped as a native Rust binary with no Node.js required at runtime. Its core loop is open, snapshot, act on accessibility-tree refs such as @e1, then re-snapshot. It is genuinely good software: 39,293 GitHub stars and roughly 1.13 million npm downloads a week as observed on July 27, 2026, and its snapshots are deliberately token-efficient.

Three differences matter. First, the input: you write an objective in natural language instead of sequencing imperative commands, so there are no refs to track and no selectors to maintain. Second, the contract: agent-browser documents no assert or expect command, so your agent decides what counts as working by reading page state, while Kane CLI grants a pass only when evidence confirms the expected state. Third, the output: Kane CLI emits an NDJSON event stream ending in a run_end verdict plus exit codes 0, 1, 2 and 3, so CI can gate on it directly.

In several places, and it is worth being straight about them. It is Apache-2.0 licensed with the full source public, so it is free at any volume with no account and no license key. It ships as a single native Rust binary that needs no Node.js runtime, and it publishes builds for macOS ARM64 and x64, Linux ARM64 and x64, and Windows x64. It documents skills for a wider set of clients than we do, including Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, Goose, OpenCode and Windsurf, plus a built-in MCP stdio server. It also bundles axe-core accessibility audits, Web Vitals and React DevTools introspection. If you want a free, local, source-available browser driver and you are happy owning the verification logic yourself, it is a strong choice.

Yes. Run any objective with the --agent flag and Kane CLI suppresses the interactive UI and streams typed NDJSON, one JSON object per line, ending in a run_end event carrying status, summary, extracted values, token usage and a dashboard link. Claude Code, Codex CLI and Gemini CLI can install Kane CLI as a skill. Point your agent at testmuai.com/kane-cli/agents.md and it will install, authenticate and verify in a real browser on its own.

Yes, and this is the clearest reason teams add it alongside a browser driver. Combine --agent with --headless so no display server is needed, then key your pipeline off the exit code: 0 when the expected state is verified, 1 on a failed assertion, 2 on an error such as an auth failure, and 3 on timeout. Kane CLI documents native integration for GitHub Actions, GitLab CI, Jenkins and Bitbucket Pipelines. agent-browser documents an exit-code contract for its doctor command, but not a general table for its automation commands, so a pipeline built on it needs you to define the pass condition yourself.

agent-browser refs are scoped to a snapshot. Its documentation states that refs are invalidated when the page changes and instructs the agent to take a fresh snapshot before retrying, which is correct and predictable, but it means the recovery loop is your agent's job and costs another round trip. Kane CLI anchors to the user-facing element rather than a ref, so autoheal re-resolves intent when a label is reworded or a class changes, and a run pushes through unexpected modals and redirects for up to 50 steps while the pass condition stays exactly the same.

agent-browser delegates scale to third-party providers you hold accounts with, including Browserless, Browserbase, Browser Use, Kernel and AWS Bedrock AgentCore. Kane CLI scales onto first-party infrastructure instead: the same objective runs on Browser Cloud, which provisions real Chrome on demand with a built-in tunnel to reach localhost and staging, session video and logs, and persistent login state. For mobile, TestMu AI runs a real device cloud with 10,000+ real devices. Read the browser infrastructure for AI agents post for the architecture.

Yes. The Free plan costs $0 and ships 200 credits, and it runs against your local Chrome, so you can prove out the whole workflow without a credit card. Paid plans add scale rather than unlocking the basics: Starter at $19 a month with 2,000 credits, Pro at $99 a month with 10,000 credits, and Enterprise on request. agent-browser is free at any volume because it is Apache-2.0, though its optional chat mode requires an AI_GATEWAY_API_KEY and bills model inference to you, and its cloud providers bill separately. Plans are on the pricing page.

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.

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