RichardHruby

AI-powered login automation. Uses Claude to classify login pages and Playwright to interact with them.

282
20
100% credibility
Found Feb 17, 2026 at 242 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A browser-based agent that automates website logins by visually analyzing pages and securely handling user credentials through various flows like forms, choices, and magic links.

How It Works

1
🌐 Discover Login Machine

You hear about a clever tool that handles tricky website logins for you.

2
🖥️ Open the demo

Visit the ready-to-use demo page in your web browser.

3
📝 Paste login URL

Type the web address of the site's login page, like example.com/login.

4
🔍 Smart page scan

It opens a live browser view, snaps a picture of the screen, and instantly understands what kind of login it is.

5
🔑 Enter your details

A safe form appears for your username, password, or choices – your info goes directly to the site.

6
Automatic next steps

It fills forms, picks options, waits for emails, or skips popups until everything is done.

Logged in successfully

You see the site's main dashboard – you're in without any hassle!

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Star Growth

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AI-Generated Review

What is login-machine?

Login Machine is a TypeScript Next.js app for AI-powered login automation. Paste any login URL into its chat UI, and it spins up a cloud browser, uses Claude to classify screens (forms, SSO choices, magic links, MFAs), then interacts via Playwright while you fill dynamic inputs securely—credentials bypass the AI entirely. It kills the pain of per-site scripts for browser agents, handling arbitrary flows in one generic loop.

Why is it gaining traction?

Zero setup demo lets you test real logins instantly, with live browser view, terminal logs, and self-healing locators that retry on errors. Unlike rigid tools, it observes each screen fresh, auto-dismisses popups, and waits out SPAs—no hardcoded selectors. Devs dig this ai powered login as a drop-in for ai powered projects github, beating Selenium fragility.

Who should use this?

Automation engineers scripting ai powered job portal github scrapers or ai powered lms github agents. Backend teams automating logins for ai powered chatbot github services, search tools, or personal finance managers. QA folks replacing login machine for office or azure virtual machine login scripts.

Verdict

Strong pick for prototyping generic logins—slick UI and quick start shine. 224 stars and 1.0% credibility flag it as early (no tests visible), but solid docs and Anon backing make it worth forking under MIT.

(198 words)

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