🌟 OMG-Agent | Python
🎯 Primary Use Case:
Automating mobile device operations using AI and natural language commands.
✨ Key Features:
• AI-driven mobile GUI operation via natural language
• Supports AutoGLM and GELab-Zero models
• ADB real-time screenshot and task execution
• Bilingual interface (English/Chinese) and theme support
• OpenAI-compatible API support
📖 Summary:
OMG-Agent is an open-source desktop client that enables AI to control Android phones through natural language commands. It integrates with mobile GUI models and uses ADB for real-time interaction, supporting both physical devices and emulators.
🔗 Links:
• View Project
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🔓 Open Source
🎯 Primary Use Case:
Automating mobile device operations using AI and natural language commands.
✨ Key Features:
• AI-driven mobile GUI operation via natural language
• Supports AutoGLM and GELab-Zero models
• ADB real-time screenshot and task execution
• Bilingual interface (English/Chinese) and theme support
• OpenAI-compatible API support
📖 Summary:
OMG-Agent is an open-source desktop client that enables AI to control Android phones through natural language commands. It integrates with mobile GUI models and uses ADB for real-time interaction, supporting both physical devices and emulators.
🔗 Links:
• View Project
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🔓 Open Source
✨ antares | Vue
🎯 Primary Use Case:
A cross-platform, free, and feature-rich SQL client for developers to manage and interact with various database systems.
✨ Key Features:
• Multiple database connections
• Database and table management
• Views, triggers, stored routines, functions and schedulers management
• Tab system
• Fake table data filler
📖 Summary:
Antares SQL Client is a modern, fast, and user-friendly desktop application for managing multiple SQL databases. Built with Electron.js and Vue.js, it supports various database systems and operating systems, aiming to provide a productive and free alternative for developers.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
A cross-platform, free, and feature-rich SQL client for developers to manage and interact with various database systems.
✨ Key Features:
• Multiple database connections
• Database and table management
• Views, triggers, stored routines, functions and schedulers management
• Tab system
• Fake table data filler
📖 Summary:
Antares SQL Client is a modern, fast, and user-friendly desktop application for managing multiple SQL databases. Built with Electron.js and Vue.js, it supports various database systems and operating systems, aiming to provide a productive and free alternative for developers.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 iOS | Swift
🎯 Primary Use Case:
To provide a seamless and integrated native mobile and desktop experience for users to control their Home Assistant smart home setup on Apple devices.
✨ Key Features:
• Native iOS, iPadOS, and macOS applications for Home Assistant
• Control and monitor smart home devices
• Manage automations and scenes
• View sensor data and device states
📖 Summary:
This repository provides the official Home Assistant client application for Apple platforms, allowing users to control and monitor their smart home devices from their iPhones, iPads, and Macs. It offers a native experience for managing automations, viewing sensor data, and interacting with various smart home integrations.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide a seamless and integrated native mobile and desktop experience for users to control their Home Assistant smart home setup on Apple devices.
✨ Key Features:
• Native iOS, iPadOS, and macOS applications for Home Assistant
• Control and monitor smart home devices
• Manage automations and scenes
• View sensor data and device states
📖 Summary:
This repository provides the official Home Assistant client application for Apple platforms, allowing users to control and monitor their smart home devices from their iPhones, iPads, and Macs. It offers a native experience for managing automations, viewing sensor data, and interacting with various smart home integrations.
🔗 Links:
• View Project
• Homepage
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🔓 Open Source
🚀 win-vind | C++
🎯 Primary Use Case:
To enable users, particularly those familiar with Vim, to control and interact with the Windows graphical user interface using keyboard shortcuts and Vim-like commands, thereby increasing efficiency and productivity.
✨ Key Features:
• Vim-like UI operation for Windows GUI
• Vim configuration methods and mode concepts
• Built-in commands for UI operations
• User-defined commands by combining built-in commands
📖 Summary:
win-vind is a C++ tool that provides a Vim-like user interface for controlling Windows. It allows users to operate the Windows GUI using Vim's familiar key bindings and mode concepts, offering a lightweight and portable solution for enhanced productivity.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To enable users, particularly those familiar with Vim, to control and interact with the Windows graphical user interface using keyboard shortcuts and Vim-like commands, thereby increasing efficiency and productivity.
✨ Key Features:
• Vim-like UI operation for Windows GUI
• Vim configuration methods and mode concepts
• Built-in commands for UI operations
• User-defined commands by combining built-in commands
📖 Summary:
win-vind is a C++ tool that provides a Vim-like user interface for controlling Windows. It allows users to operate the Windows GUI using Vim's familiar key bindings and mode concepts, offering a lightweight and portable solution for enhanced productivity.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 mail2telegram | TypeScript
🎯 Primary Use Case:
To receive and manage emails through a Telegram bot, effectively creating a temporary, accessible inbox anywhere via Telegram.
✨ Key Features:
• Forward emails to Telegram messages
• Cloudflare Email Routing integration
• Serverless deployment with Cloudflare Workers
• Temporary mailbox with infinite address
• Webhook binding for Telegram Bot API
📖 Summary:
mail2telegram is a serverless application that forwards emails received via Cloudflare Email Routing to a Telegram bot. It creates a temporary mailbox for any email prefix, converting incoming emails into Telegram messages for easy access and management.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To receive and manage emails through a Telegram bot, effectively creating a temporary, accessible inbox anywhere via Telegram.
✨ Key Features:
• Forward emails to Telegram messages
• Cloudflare Email Routing integration
• Serverless deployment with Cloudflare Workers
• Temporary mailbox with infinite address
• Webhook binding for Telegram Bot API
📖 Summary:
mail2telegram is a serverless application that forwards emails received via Cloudflare Email Routing to a Telegram bot. It creates a temporary mailbox for any email prefix, converting incoming emails into Telegram messages for easy access and management.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 KeyForge3D | Python
🎯 Primary Use Case:
Generating 3D printable STL files of keys from photographs for replication.
✨ Key Features:
• Key Shape Extraction from photo
• Bitting Analysis and code detection
• 3D Model Generation
• STL Export
• User-Friendly GUI
📖 Summary:
KeyForge3D is a Python application that converts a photograph of a physical key into a 3D-printable STL file. It uses image processing to analyze the key's bitting pattern and generates an accurate 3D model, making it useful for locksmiths and hobbyists for quick key replication.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Generating 3D printable STL files of keys from photographs for replication.
✨ Key Features:
• Key Shape Extraction from photo
• Bitting Analysis and code detection
• 3D Model Generation
• STL Export
• User-Friendly GUI
📖 Summary:
KeyForge3D is a Python application that converts a photograph of a physical key into a 3D-printable STL file. It uses image processing to analyze the key's bitting pattern and generates an accurate 3D model, making it useful for locksmiths and hobbyists for quick key replication.
🔗 Links:
• View Project
================
🔓 Open Source
❤1
🚀 Wristkey | Kotlin
🎯 Primary Use Case:
To provide users with a convenient and secure way to manage and generate Two-Factor Authentication (2FA) codes directly from their smartwatch.
✨ Key Features:
• Standalone Wear OS app (no phone pairing required)
• Imports from Aegis Authenticator, andOTP, and Bitwarden
• Secure local storage (AES-256-GCM)
• Encrypted WiFi transfers (XSalsa20-Poly1305, X25519)
📖 Summary:
Wristkey is a free and open-source Two-Factor Authentication (2FA) app designed for Wear OS smartwatches, allowing users to generate OTPs directly from their wrist. It also supports phone usage and offers secure local storage and encrypted transfers.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide users with a convenient and secure way to manage and generate Two-Factor Authentication (2FA) codes directly from their smartwatch.
✨ Key Features:
• Standalone Wear OS app (no phone pairing required)
• Imports from Aegis Authenticator, andOTP, and Bitwarden
• Secure local storage (AES-256-GCM)
• Encrypted WiFi transfers (XSalsa20-Poly1305, X25519)
📖 Summary:
Wristkey is a free and open-source Two-Factor Authentication (2FA) app designed for Wear OS smartwatches, allowing users to generate OTPs directly from their wrist. It also supports phone usage and offers secure local storage and encrypted transfers.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 LiftShift | TypeScript
🎯 Primary Use Case:
To provide users with a centralized platform to analyze their workout data from different fitness tracking apps, offering deeper insights and visualization of their progress.
✨ Key Features:
• Workout log conversion (Hevy, Strong, Lyfta)
• Interactive muscle heatmaps
• Calendar filtering
• Shareable progress cards
• Plateau detection
📖 Summary:
LiftShift is a free, open-source web application that converts workout logs from various fitness apps (like Hevy and Strong) into actionable insights. It provides interactive muscle heatmaps, calendar filtering, progress cards, plateau detection, and detailed exercise analysis.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide users with a centralized platform to analyze their workout data from different fitness tracking apps, offering deeper insights and visualization of their progress.
✨ Key Features:
• Workout log conversion (Hevy, Strong, Lyfta)
• Interactive muscle heatmaps
• Calendar filtering
• Shareable progress cards
• Plateau detection
📖 Summary:
LiftShift is a free, open-source web application that converts workout logs from various fitness apps (like Hevy and Strong) into actionable insights. It provides interactive muscle heatmaps, calendar filtering, progress cards, plateau detection, and detailed exercise analysis.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 RedCoffee | Python
🎯 Primary Use Case:
To automate the generation of PDF reports from SonarQube Community Edition analysis, facilitating easier sharing and review of code quality metrics.
✨ Key Features:
• Generates PDF reports from SonarQube analysis data
• Targets SonarQube Community Edition
• Python-based CLI tool
• Includes GitHub Actions for CI/CD (Unit Tests, MkDocs deployment)
📖 Summary:
RedCoffee is a Python-based command-line interface (CLI) tool designed to generate PDF reports from SonarQube Community Edition analysis data. It addresses the lack of native PDF export functionality in the community edition, making it easier to share and review code quality metrics.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To automate the generation of PDF reports from SonarQube Community Edition analysis, facilitating easier sharing and review of code quality metrics.
✨ Key Features:
• Generates PDF reports from SonarQube analysis data
• Targets SonarQube Community Edition
• Python-based CLI tool
• Includes GitHub Actions for CI/CD (Unit Tests, MkDocs deployment)
📖 Summary:
RedCoffee is a Python-based command-line interface (CLI) tool designed to generate PDF reports from SonarQube Community Edition analysis data. It addresses the lack of native PDF export functionality in the community edition, making it easier to share and review code quality metrics.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 kodus-ai | TypeScript
🎯 Primary Use Case:
Automated, intelligent code reviews integrated into Git workflows to improve code quality and developer productivity.
✨ Key Features:
• Context-Aware Intelligence
• Custom Review Policies
• Native Git Integration
• Continuous Learning
📖 Summary:
Kodus AI is an open-source AI agent designed to perform code reviews, mimicking the thoroughness of a senior developer. It integrates with Git workflows to learn codebase specifics and team standards, providing automated, context-aware feedback on pull requests to improve code quality, catch bugs, and enforce best practices.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automated, intelligent code reviews integrated into Git workflows to improve code quality and developer productivity.
✨ Key Features:
• Context-Aware Intelligence
• Custom Review Policies
• Native Git Integration
• Continuous Learning
📖 Summary:
Kodus AI is an open-source AI agent designed to perform code reviews, mimicking the thoroughness of a senior developer. It integrates with Git workflows to learn codebase specifics and team standards, providing automated, context-aware feedback on pull requests to improve code quality, catch bugs, and enforce best practices.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 container-diet | Go
🎯 Primary Use Case:
Optimizing Docker images for size, security, and best practices using AI-generated advice.
✨ Key Features:
• AI-Driven Analysis using OpenAI (GPT-4o)
• Docker-Themed UI with nautical icons
• Local-first analysis (checks local Docker daemon)
• Security vulnerability detection (root user, secrets, packages)
• Entertaining 'Container Dietician' persona for feedback
📖 Summary:
Container Diet is an AI-powered CLI tool that analyzes Docker images and Dockerfiles to provide actionable optimization advice. It helps users reduce image size, improve security, and adhere to best practices with a fun,
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Optimizing Docker images for size, security, and best practices using AI-generated advice.
✨ Key Features:
• AI-Driven Analysis using OpenAI (GPT-4o)
• Docker-Themed UI with nautical icons
• Local-first analysis (checks local Docker daemon)
• Security vulnerability detection (root user, secrets, packages)
• Entertaining 'Container Dietician' persona for feedback
📖 Summary:
Container Diet is an AI-powered CLI tool that analyzes Docker images and Dockerfiles to provide actionable optimization advice. It helps users reduce image size, improve security, and adhere to best practices with a fun,
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 bj_led | Python
🎯 Primary Use Case:
Integrating inexpensive Bluetooth LE LED strips (BJ_LED/MohuanLED) into Home Assistant for smart home automation.
✨ Key Features:
• Home Assistant custom integration for BJ_LED devices
• Control via Bluetooth LE
• On/Off functionality
• RGB color control
• Basic brightness scaling
📖 Summary:
This repository provides a custom Home Assistant integration for controlling BJ_LED devices, which are inexpensive Bluetooth LE-enabled LED strips. It allows users to manage power, color, and basic modes of these lights directly from their Home Assistant dashboard.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Integrating inexpensive Bluetooth LE LED strips (BJ_LED/MohuanLED) into Home Assistant for smart home automation.
✨ Key Features:
• Home Assistant custom integration for BJ_LED devices
• Control via Bluetooth LE
• On/Off functionality
• RGB color control
• Basic brightness scaling
📖 Summary:
This repository provides a custom Home Assistant integration for controlling BJ_LED devices, which are inexpensive Bluetooth LE-enabled LED strips. It allows users to manage power, color, and basic modes of these lights directly from their Home Assistant dashboard.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ audioghost-ai | TypeScript
🎯 Primary Use Case:
Extracting specific sounds (e.g., vocals, instruments, background noise) from audio or video files using natural language prompts.
✨ Key Features:
• Text-Guided Separation
• Video Upload Support
• Memory Optimized (Lite mode)
• Modern UI with waveform visualization
• Real-time Progress Tracking
📖 Summary:
AudioGhost AI is a desktop application that uses AI to separate or extract specific sounds from audio or video files based on natural language descriptions. It leverages a memory-optimized version of Meta's SAM-Audio model and provides a modern user interface with real-time progress and audio mixing capabilities.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Extracting specific sounds (e.g., vocals, instruments, background noise) from audio or video files using natural language prompts.
✨ Key Features:
• Text-Guided Separation
• Video Upload Support
• Memory Optimized (Lite mode)
• Modern UI with waveform visualization
• Real-time Progress Tracking
📖 Summary:
AudioGhost AI is a desktop application that uses AI to separate or extract specific sounds from audio or video files based on natural language descriptions. It leverages a memory-optimized version of Meta's SAM-Audio model and provides a modern user interface with real-time progress and audio mixing capabilities.
🔗 Links:
• View Project
================
🔓 Open Source
💡 telegraph-parser | Python
🎯 Primary Use Case:
Extracting and processing article content from Telegra.ph URLs asynchronously.
✨ Key Features:
• Async parsing of Telegra.ph articles
• Command-line interface for usage
• Handles Telegra.ph URL formats including ordinal numbers for duplicate titles
📖 Summary:
This Python repository provides an asynchronous parser for Telegra.ph articles. It allows users to fetch article content from Telegra.ph URLs, making it useful for applications that need to extract and process information from this platform.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Extracting and processing article content from Telegra.ph URLs asynchronously.
✨ Key Features:
• Async parsing of Telegra.ph articles
• Command-line interface for usage
• Handles Telegra.ph URL formats including ordinal numbers for duplicate titles
📖 Summary:
This Python repository provides an asynchronous parser for Telegra.ph articles. It allows users to fetch article content from Telegra.ph URLs, making it useful for applications that need to extract and process information from this platform.
🔗 Links:
• View Project
================
🔓 Open Source
✨ untab | JavaScript
🎯 Primary Use Case:
Improving browser tab management and search efficiency for users with many open tabs.
✨ Key Features:
• Search through open tabs
• Perform common actions with few keystrokes
• Boosts productivity
• Supported on Chrome, Firefox, and Edge
• Works on Chromium-based browsers
📖 Summary:
UnTab is a browser extension designed to enhance user productivity by providing a quick and efficient way to search through open browser tabs and perform common actions using keyboard shortcuts. It aims to streamline tab management, making it easier to navigate and interact with a large number of open tabs.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Improving browser tab management and search efficiency for users with many open tabs.
✨ Key Features:
• Search through open tabs
• Perform common actions with few keystrokes
• Boosts productivity
• Supported on Chrome, Firefox, and Edge
• Works on Chromium-based browsers
📖 Summary:
UnTab is a browser extension designed to enhance user productivity by providing a quick and efficient way to search through open browser tabs and perform common actions using keyboard shortcuts. It aims to streamline tab management, making it easier to navigate and interact with a large number of open tabs.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 boden | C++
🎯 Primary Use Case:
Developing cross-platform mobile applications with a native look and feel using C++.
✨ Key Features:
• Native widgets
• Fast performance (C++17)
• Cross-platform development for Android and iOS
• Open framework
📖 Summary:
Boden is a C++17 cross-platform GUI framework for building native Android and iOS applications. It leverages native OEM widgets for a true native look and feel, ensuring fast performance and battery efficiency.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Developing cross-platform mobile applications with a native look and feel using C++.
✨ Key Features:
• Native widgets
• Fast performance (C++17)
• Cross-platform development for Android and iOS
• Open framework
📖 Summary:
Boden is a C++17 cross-platform GUI framework for building native Android and iOS applications. It leverages native OEM widgets for a true native look and feel, ensuring fast performance and battery efficiency.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 chaplin | Python
🎯 Primary Use Case:
To transcribe silently mouthed words in real-time without audio input, useful for noisy environments or private communication.
✨ Key Features:
• Real-time silent speech recognition
• Runs fully locally
• Uses pre-trained VSR models
• LLM integration for corrected output
• Easy setup script
📖 Summary:
Chaplin is a real-time, local silent speech recognition tool that uses visual lip reading to transcribe unspoken words. It leverages pre-trained models and integrates with LLMs to provide corrected text output.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To transcribe silently mouthed words in real-time without audio input, useful for noisy environments or private communication.
✨ Key Features:
• Real-time silent speech recognition
• Runs fully locally
• Uses pre-trained VSR models
• LLM integration for corrected output
• Easy setup script
📖 Summary:
Chaplin is a real-time, local silent speech recognition tool that uses visual lip reading to transcribe unspoken words. It leverages pre-trained models and integrates with LLMs to provide corrected text output.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 OxyMouse | Python
🎯 Primary Use Case:
Automating mouse movements in Python for tasks such as testing, botting, or simulating user interactions.
✨ Key Features:
• Generate mouse movements using Python
• Supports multiple algorithms: bezier, gaussian, perlin, oxy
• Generate random coordinates within a viewport
• Generate coordinates between two specific points
• Generate scroll coordinates
📖 Summary:
OxyMouse is a Python library designed to generate realistic and varied mouse movements. It offers multiple algorithms to simulate different types of cursor paths, making it useful for applications requiring automated mouse control or realistic user simulation.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Automating mouse movements in Python for tasks such as testing, botting, or simulating user interactions.
✨ Key Features:
• Generate mouse movements using Python
• Supports multiple algorithms: bezier, gaussian, perlin, oxy
• Generate random coordinates within a viewport
• Generate coordinates between two specific points
• Generate scroll coordinates
📖 Summary:
OxyMouse is a Python library designed to generate realistic and varied mouse movements. It offers multiple algorithms to simulate different types of cursor paths, making it useful for applications requiring automated mouse control or realistic user simulation.
🔗 Links:
• View Project
================
🔓 Open Source
💡 DorkAgent | Python
🎯 Primary Use Case:
Automating the process of finding security vulnerabilities and gathering information through Google Dorking for cybersecurity professionals.
✨ Key Features:
• Automated Google Dorking
• LLM Integration (OpenAI, Anthropic, Gemini)
• API Key Management (.env file)
• Customizable search result count and time duration
• Dynamic model selection at runtime
📖 Summary:
DorkAgent is an LLM-powered Python tool designed to automate Google Dorking for bug hunting and penetration testing. It leverages AI models and search engine APIs to discover vulnerabilities and gather intelligence.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Automating the process of finding security vulnerabilities and gathering information through Google Dorking for cybersecurity professionals.
✨ Key Features:
• Automated Google Dorking
• LLM Integration (OpenAI, Anthropic, Gemini)
• API Key Management (.env file)
• Customizable search result count and time duration
• Dynamic model selection at runtime
📖 Summary:
DorkAgent is an LLM-powered Python tool designed to automate Google Dorking for bug hunting and penetration testing. It leverages AI models and search engine APIs to discover vulnerabilities and gather intelligence.
🔗 Links:
• View Project
================
🔓 Open Source
✨ WEF | Shell
🎯 Primary Use Case:
Analyzing and exploiting vulnerabilities in Wi-Fi networks for security testing.
✨ Key Features:
• WPA/WPA2/WPA3, WPS, WEP, Rogue-AP, and Handshake Attacks
• Automatic attack mode based on AP features
• Automatic handshake capture
• Online and offline handshake cracking
• Simple login template for Evil Twin attack
📖 Summary:
The WEF (Wi-Fi Exploitation Framework) is a shell-based tool designed for security researchers and penetration testers. It automates and facilitates the analysis and exploitation of vulnerabilities in WPA/WPA2, WPS, and WEP Wi-Fi networks, supporting both 2.4 GHz and 5 GHz bands.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Analyzing and exploiting vulnerabilities in Wi-Fi networks for security testing.
✨ Key Features:
• WPA/WPA2/WPA3, WPS, WEP, Rogue-AP, and Handshake Attacks
• Automatic attack mode based on AP features
• Automatic handshake capture
• Online and offline handshake cracking
• Simple login template for Evil Twin attack
📖 Summary:
The WEF (Wi-Fi Exploitation Framework) is a shell-based tool designed for security researchers and penetration testers. It automates and facilitates the analysis and exploitation of vulnerabilities in WPA/WPA2, WPS, and WEP Wi-Fi networks, supporting both 2.4 GHz and 5 GHz bands.
🔗 Links:
• View Project
================
🔓 Open Source