This project is an agentic framework designed to enable autonomous web navigation and browser automation. It functions as a controller that translates natural language instructions into deterministic browser actions, allowing agents to interact with websites, perform data extraction, and manage complex authentication flows. By leveraging accessibility trees and semantic element resolution, the framework mimics human-like navigation, moving beyond brittle DOM selectors to interact reliably with modern web interfaces. The framework distinguishes itself through its focus on secure, scalable exec
BrowserOS is an AI agent browser orchestrator and automation framework designed to manage browser state and execute complex web workflows. It functions as a local AI browser assistant and a Model Context Protocol controller, enabling the control of browser tabs, windows, and navigation through programmable AI agents and standardized context protocols. The system distinguishes itself through a graph-based visual workflow builder for creating repeatable automation sequences and the use of markdown-based files to define agent personalities and task recipes. It supports multi-provider orchestrati
pydoll is a Chrome DevTools Protocol automation library and headless browser controller used for web data extraction and parallel browser automation. It controls Chromium-based browsers via direct WebSocket connections, allowing it to manage isolated browser contexts and tabs while bypassing the overhead and detection associated with WebDriver. The project features an anti-bot evasion framework that mimics natural human behavior, including mouse movements generated via Bezier curves and variable typing patterns. It provides specialized stealth capabilities to bypass behavioral analysis and au
Maestro is a declarative mobile and web UI automation framework designed for end-to-end testing. It operates by querying the native accessibility tree of an application, allowing for black-box testing without requiring source code instrumentation or platform-specific dependencies. The framework distinguishes itself through a unified command syntax that abstracts interactions across Android, iOS, and web environments. It features a dynamic synchronization engine that automatically pauses test execution to account for non-deterministic animations and network-dependent content loading, ensuring
NeoPass is a specialized toolset designed to circumvent proctored exam environments. It functions as an AI-powered exam assistant and automated solver that helps users find answers to multiple-choice and coding questions during monitored tests.
Die Hauptfunktionen von max-eee/neopass sind: Browser-Integrated AI Workflows, Exam Circumvention Tools, AI Chat Interfaces, Input Event Simulators, Human-Mimetic Input Simulations, Exam Assistance Tools, Browser Environment Bypasses, Clipboard Restriction Bypasses.
Open-Source-Alternativen zu max-eee/neopass sind unter anderem: vercel-labs/agent-browser — This project is an agentic framework designed to enable autonomous web navigation and browser automation. It functions… autoscrape-labs/pydoll — pydoll is a Chrome DevTools Protocol automation library and headless browser controller used for web data extraction… browseros-ai/browseros — BrowserOS is an AI agent browser orchestrator and automation framework designed to manage browser state and execute… mobile-dev-inc/maestro — Maestro is a declarative mobile and web UI automation framework designed for end-to-end testing. It operates by… rockbenben/chatgpt-shortcut — ChatGPT-Shortcut is a prompt engineering toolkit and management library designed to organize, refine, and deploy… n4ze3m/page-assist — Page Assist is a browser-based AI integration tool that provides a sidebar interface for interacting with AI models…