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Browser Agent

Your QA team
is an AI.

Describe what to test in plain English. The AI agent launches a browser, navigates your app, and verifies everything works.
$ npm i -g @tangle-network/browser-agent-driver Copied!
$ bad run \
  --goal "Sign up, create project, verify dashboard" \
  --url https://your-app.com \
  --model claude-sonnet-4-20250514 --vision

agent-driver v0.10.0
Model: anthropic/claude-sonnet-4-20250514 | Vision: true

  ▶ Sign up, create project, verify dashboard
    turn 1: navigate → /signup
    turn 2: type → email field
    turn 3: click → "Create Account"
    turn 4: navigate → /dashboard
  ✓ Goal achieved (4 turns, 9.2s)
One command. Full evidence.

End-to-end testing in one sentence.

Describe a user flow in plain English. The agent launches a browser, navigates autonomously using vision, and verifies every step with screenshots as proof.

No selectors or scripts to write
Vision-based page understanding
Screenshots + video per turn
Works with any web framework
bad
$ bad run \
  --goal "Sign up, verify email, check dashboard" \
  --url https://your-app.com \
  --model claude-sonnet-4-20250514 --vision

agent-driver v0.10.0
Model: claude-sonnet-4-20250514 | Vision: ✓

  ▶ Sign up, verify email, check dashboard
    turn 1  navigate  → /signup
    turn 2  type      → email · [email protected]
    turn 3  click     → "Create Account"
    turn 4  evaluate  → welcome banner visible
    turn 5  navigate  → /dashboard
    turn 6  evaluate  → user data loaded

  ✓ Goal achieved (6 turns, 12.1s)
    Screenshots: 6 · Video: recording.webm
One package. Every workflow.
E2E Testing
Complete user flows in one sentence.
Signup, checkout, onboarding — the agent handles the entire journey.
navigate
type email
type password
click "Sign Up"
verify dashboard
Visual Regression
Catch design drift.
Multimodal vision compares against baselines.
98%
0 visual regressions detected
Self-Healing
Tests that adapt.
Stuck detection, auto-recovery, overlay dismissal.
stuck detected
recovered → continue
Design Audit
Score any website's UI quality.
Extracts design tokens, identifies inconsistencies, generates structured reports.
82
health score
Typography: 3 inconsistent sizes
Colors: consistent palette
Contrast: WCAG AA compliant
Parallel Execution
1 to 100 browsers.
Concurrent suites, dependency-aware.
Web3 Wallet
MetaMask built-in.
Auto-approval, persistent profiles, chain switching.
Ethereum
Polygon
Arbitrum
Base
Trajectory Memory
Gets smarter over time.
Case-based reasoning from previous runs.
Reliability 98%
Learn more

Frequently Asked Questions

What is Browser Agent?
Browser Agent is an AI-powered browser automation tool. You describe what to test in plain English, and the AI agent launches a real browser, navigates your app, clicks buttons, fills forms, and verifies everything works — just like a human QA tester.
How does it work?
You give the agent a goal (like "sign up and verify the dashboard loads") and a URL. It uses vision-enabled AI models to understand the page, decide what actions to take, and execute them through Playwright. Every step is recorded with screenshots.
What AI models does it support?
Browser Agent supports Claude (Anthropic), GPT-4 (OpenAI), and other vision-capable models. You choose the model per run with the --model flag.
Is it open source?
Yes. Browser Agent is fully open source under the MIT license. Install it with npm i -g @tangle-network/browser-agent-driver. The source is at github.com/tangle-network/browser-agent-driver.
Your QA team is an AI.
npm install, describe what to test, let the agent handle the rest. Free and open source.