🔥 slog-context | Go
🎯 Primary Use Case:
Integrating structured logging with Go's context package for enhanced log enrichment and context-aware logging.
✨ Key Features:
• Adding and retrieving loggers to/from context.
• Adding attributes to context for automatic inclusion in log lines.
• Extracting custom context values (e.g., OpenTelemetry TraceID) for logging.
• Compatibility with both standard library slog and logr.
📖 Summary:
The `slog-context` Go library provides utilities for integrating structured logging (slog) with Go's context package. It allows adding and retrieving loggers from contexts, adding attributes to contexts for automatic inclusion in log lines, and extracting custom context values like OpenTelemetry TraceIDs for logging.
🔗 Links:
• View Project
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🔓 Open Source
🎯 Primary Use Case:
Integrating structured logging with Go's context package for enhanced log enrichment and context-aware logging.
✨ Key Features:
• Adding and retrieving loggers to/from context.
• Adding attributes to context for automatic inclusion in log lines.
• Extracting custom context values (e.g., OpenTelemetry TraceID) for logging.
• Compatibility with both standard library slog and logr.
📖 Summary:
The `slog-context` Go library provides utilities for integrating structured logging (slog) with Go's context package. It allows adding and retrieving loggers from contexts, adding attributes to contexts for automatic inclusion in log lines, and extracting custom context values like OpenTelemetry TraceIDs for logging.
🔗 Links:
• View Project
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🔓 Open Source
🌟 mage | Go
🎯 Primary Use Case:
Automating build processes and other development tasks using Go instead of Makefiles or similar tools.
✨ Key Features:
• Uses Go for build scripts
• No external dependencies (besides Go)
• Supports multiple magefiles
• Customizable for different operating systems
• Can be used as a library
📖 Summary:
Mage is a build tool similar to Make or Rake, but uses Go for writing build scripts. It allows developers to define build tasks as plain Go functions, which Mage then executes as targets, simplifying build processes and eliminating the complexities of traditional Makefiles.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automating build processes and other development tasks using Go instead of Makefiles or similar tools.
✨ Key Features:
• Uses Go for build scripts
• No external dependencies (besides Go)
• Supports multiple magefiles
• Customizable for different operating systems
• Can be used as a library
📖 Summary:
Mage is a build tool similar to Make or Rake, but uses Go for writing build scripts. It allows developers to define build tasks as plain Go functions, which Mage then executes as targets, simplifying build processes and eliminating the complexities of traditional Makefiles.
🔗 Links:
• View Project
• Homepage
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🔓 Open Source
💡 GopherTube | Go
🎯 Primary Use Case:
Searching and watching YouTube videos from the terminal.
✨ Key Features:
• Fast YouTube search (scrapes YouTube directly)
• Play videos with mpv
• Minimal terminal UI (fzf)
• Keyboard navigation
• TOML config
📖 Summary:
GopherTube is a terminal-based YouTube client written in Go. It allows users to search and watch YouTube videos directly from their terminal using `mpv` for playback and `yt-dlp` for downloading. The UI is minimal and keyboard-driven, leveraging `fzf` for a streamlined experience.
🔗 Links:
• View Project
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🔓 Open Source
🎯 Primary Use Case:
Searching and watching YouTube videos from the terminal.
✨ Key Features:
• Fast YouTube search (scrapes YouTube directly)
• Play videos with mpv
• Minimal terminal UI (fzf)
• Keyboard navigation
• TOML config
📖 Summary:
GopherTube is a terminal-based YouTube client written in Go. It allows users to search and watch YouTube videos directly from their terminal using `mpv` for playback and `yt-dlp` for downloading. The UI is minimal and keyboard-driven, leveraging `fzf` for a streamlined experience.
🔗 Links:
• View Project
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🔓 Open Source
🚀 MIRIX | Python
🎯 Primary Use Case:
Building a personal AI assistant with advanced memory capabilities.
✨ Key Features:
• Multi-Agent Memory System
• Screen Activity Tracking
• Privacy-First Design
• Advanced Search
• Multi-Modal Input
📖 Summary:
MIRIX is a multi-agent personal assistant that learns and remembers user interactions by tracking on-screen activities and natural language conversations. It consolidates visual and textual data into a structured knowledge base, enabling intelligent responses and personalized assistance.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Building a personal AI assistant with advanced memory capabilities.
✨ Key Features:
• Multi-Agent Memory System
• Screen Activity Tracking
• Privacy-First Design
• Advanced Search
• Multi-Modal Input
📖 Summary:
MIRIX is a multi-agent personal assistant that learns and remembers user interactions by tracking on-screen activities and natural language conversations. It consolidates visual and textual data into a structured knowledge base, enabling intelligent responses and personalized assistance.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 cli | JavaScript
🎯 Primary Use Case:
Automating and scaling QA processes for web and desktop applications.
✨ Key Features:
• AI-powered vision and control
• End-to-end testing of web and desktop applications
• Black-box testing approach
• Natural language test instruction
• Integration with CI/CD via GitHub Actions
📖 Summary:
TestDriver.ai is an autonomous AI agent designed for end-to-end testing of web and desktop applications. It uses AI vision and emulated mouse/keyboard actions to automate QA processes, offering advantages like easier setup, reduced maintenance, and broader application testing capabilities compared to traditional test frameworks.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Automating and scaling QA processes for web and desktop applications.
✨ Key Features:
• AI-powered vision and control
• End-to-end testing of web and desktop applications
• Black-box testing approach
• Natural language test instruction
• Integration with CI/CD via GitHub Actions
📖 Summary:
TestDriver.ai is an autonomous AI agent designed for end-to-end testing of web and desktop applications. It uses AI vision and emulated mouse/keyboard actions to automate QA processes, offering advantages like easier setup, reduced maintenance, and broader application testing capabilities compared to traditional test frameworks.
🔗 Links:
• View Project
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🔓 Open Source
💡 rustnet | Rust
🎯 Primary Use Case:
Real-time network monitoring and analysis with detailed connection information and protocol inspection.
✨ Key Features:
• Real-time Network Monitoring
• Connection States Display (TCP, QUIC, DNS, SSH)
• Deep Packet Inspection (HTTP, HTTPS/TLS, DNS, SSH, QUIC)
• Connection Lifecycle Management with configurable timeouts
• Process Identification (with experimental eBPF support)
📖 Summary:
RustNet is a cross-platform network monitoring tool built in Rust that provides real-time visibility into network connections. It offers features like deep packet inspection, connection lifecycle management, and a terminal user interface for monitoring TCP, UDP, ICMP, ARP, and QUIC connections, along with process identification and service name resolution.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Real-time network monitoring and analysis with detailed connection information and protocol inspection.
✨ Key Features:
• Real-time Network Monitoring
• Connection States Display (TCP, QUIC, DNS, SSH)
• Deep Packet Inspection (HTTP, HTTPS/TLS, DNS, SSH, QUIC)
• Connection Lifecycle Management with configurable timeouts
• Process Identification (with experimental eBPF support)
📖 Summary:
RustNet is a cross-platform network monitoring tool built in Rust that provides real-time visibility into network connections. It offers features like deep packet inspection, connection lifecycle management, and a terminal user interface for monitoring TCP, UDP, ICMP, ARP, and QUIC connections, along with process identification and service name resolution.
🔗 Links:
• View Project
================
🔓 Open Source
✨ paasword | Python
🎯 Primary Use Case:
Generating secure, unique passwords based on user input and GPG key signatures, with optional time-based restrictions.
✨ Key Features:
• GPG private key signing for password derivation
• Unique password generation for each input
• Time forgery support for generating future or past passwords
• Terminal box rendering with CJK/ASCII alignment
• Plain text output option for scripting
📖 Summary:
Password Master is a password generator that uses GPG private key signatures to derive high-strength passwords from user inputs. It supports time forgery, allowing users to generate passwords valid for specific timeframes, enhancing security and control.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Generating secure, unique passwords based on user input and GPG key signatures, with optional time-based restrictions.
✨ Key Features:
• GPG private key signing for password derivation
• Unique password generation for each input
• Time forgery support for generating future or past passwords
• Terminal box rendering with CJK/ASCII alignment
• Plain text output option for scripting
📖 Summary:
Password Master is a password generator that uses GPG private key signatures to derive high-strength passwords from user inputs. It supports time forgery, allowing users to generate passwords valid for specific timeframes, enhancing security and control.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 NotelyVoice | C++
🎯 Primary Use Case:
Voice transcription and note-taking for students, professionals, doctors, and researchers.
✨ Key Features:
• Rich Text Editing
• Simple Search
• Smart Filtering
• Organization with folders and tags
• Advanced Speech-to-Text
📖 Summary:
NotelyVoice is a cross-platform, private AI voice transcription and note-taking application built with Compose Multiplatform. It leverages Whisper AI for on-device speech-to-text conversion in 50+ languages, ensuring user privacy by avoiding cloud uploads. The app is available on Android and iOS.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Voice transcription and note-taking for students, professionals, doctors, and researchers.
✨ Key Features:
• Rich Text Editing
• Simple Search
• Smart Filtering
• Organization with folders and tags
• Advanced Speech-to-Text
📖 Summary:
NotelyVoice is a cross-platform, private AI voice transcription and note-taking application built with Compose Multiplatform. It leverages Whisper AI for on-device speech-to-text conversion in 50+ languages, ensuring user privacy by avoiding cloud uploads. The app is available on Android and iOS.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 repomix_wx | Python
🎯 Primary Use Case:
Generating compact repository overviews for use in LLM prompts.
✨ Key Features:
• Choose project/repo directory
• Included files list (auto-excludes exact and glob patterns)
• Exclusions: exact file paths and glob ignore patterns
• Command preview with auto-wrap
• Run `repomix` in selected root
📖 Summary:
The repository provides a GUI wrapper around the `repomix` CLI tool, enabling users to generate compact repository overviews for LLM prompts. It offers features like project directory selection, file exclusion, command preview, and output style selection, with options persisted in a state file.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Generating compact repository overviews for use in LLM prompts.
✨ Key Features:
• Choose project/repo directory
• Included files list (auto-excludes exact and glob patterns)
• Exclusions: exact file paths and glob ignore patterns
• Command preview with auto-wrap
• Run `repomix` in selected root
📖 Summary:
The repository provides a GUI wrapper around the `repomix` CLI tool, enabling users to generate compact repository overviews for LLM prompts. It offers features like project directory selection, file exclusion, command preview, and output style selection, with options persisted in a state file.
🔗 Links:
• View Project
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🔓 Open Source
🌟 akniga-scraper | Go
🎯 Primary Use Case:
Downloading audiobooks from akniga.org for offline listening.
✨ Key Features:
• Downloads audio from akniga.org
• Automates cookie and book ID retrieval
• Decrypts HLS link using a key extracted from the website's JavaScript
• Uses ffmpeg for audio downloading
📖 Summary:
The akniga-scraper is a Go-based tool designed to download content from akniga.org. It automates the process of obtaining necessary cookies and book IDs, decrypting the audio HLS link, and ultimately downloading the audio content.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Downloading audiobooks from akniga.org for offline listening.
✨ Key Features:
• Downloads audio from akniga.org
• Automates cookie and book ID retrieval
• Decrypts HLS link using a key extracted from the website's JavaScript
• Uses ffmpeg for audio downloading
📖 Summary:
The akniga-scraper is a Go-based tool designed to download content from akniga.org. It automates the process of obtaining necessary cookies and book IDs, decrypting the audio HLS link, and ultimately downloading the audio content.
🔗 Links:
• View Project
================
🔓 Open Source
💡 h3xassist | TypeScript
🎯 Primary Use Case:
Automating the process of recording, transcribing, and summarizing online meetings.
✨ Key Features:
• Automatic Meeting Join
• Audio Recording
• Speech Recognition
• AI Summarization
• Calendar Integration
📖 Summary:
H3xAssist is an automated meeting assistant that records, transcribes, and summarizes online meetings. It supports platforms like Microsoft Teams and Google Meet, offering features like real-time dashboards, AI-generated summaries, and speaker diarization. The system integrates with Outlook calendars and provides a responsive web interface for configuration and usage.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Automating the process of recording, transcribing, and summarizing online meetings.
✨ Key Features:
• Automatic Meeting Join
• Audio Recording
• Speech Recognition
• AI Summarization
• Calendar Integration
📖 Summary:
H3xAssist is an automated meeting assistant that records, transcribes, and summarizes online meetings. It supports platforms like Microsoft Teams and Google Meet, offering features like real-time dashboards, AI-generated summaries, and speaker diarization. The system integrates with Outlook calendars and provides a responsive web interface for configuration and usage.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 i3-news | Zig
🎯 Primary Use Case:
Displaying and interacting with RSS/Atom news headlines in i3wm and sway status bars.
✨ Key Features:
• Interactive news headline snippets
• Compatibility with i3blocks, polybar, i3status, and waybar
• Support for RSS/Atom feeds
• Configuration management (add, edit, remove snippets)
• Scrolling headlines
📖 Summary:
The i3-news repository provides an interactive RSS/Atom news headline plugin designed for i3wm and sway window managers. It's compatible with popular status bar tools like i3status, i3blocks, polybar, and waybar, allowing users to display and interact with news feeds directly in their status bar.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Displaying and interacting with RSS/Atom news headlines in i3wm and sway status bars.
✨ Key Features:
• Interactive news headline snippets
• Compatibility with i3blocks, polybar, i3status, and waybar
• Support for RSS/Atom feeds
• Configuration management (add, edit, remove snippets)
• Scrolling headlines
📖 Summary:
The i3-news repository provides an interactive RSS/Atom news headline plugin designed for i3wm and sway window managers. It's compatible with popular status bar tools like i3status, i3blocks, polybar, and waybar, allowing users to display and interact with news feeds directly in their status bar.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 sqliter | TypeScript
🎯 Primary Use Case:
Managing and editing SQLite databases through a web interface.
✨ Key Features:
• Web-based Interface
• Single Executable
• Full CRUD Operations
• Advanced Data Editing
• Filtering & Search
📖 Summary:
SQLiter is a web-based SQLite database editor packaged as a single executable. It provides a comprehensive interface for browsing, editing, and managing SQLite databases with features like CRUD operations, advanced data editing, filtering, sorting, SQL editor, data export, and schema information display.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Managing and editing SQLite databases through a web interface.
✨ Key Features:
• Web-based Interface
• Single Executable
• Full CRUD Operations
• Advanced Data Editing
• Filtering & Search
📖 Summary:
SQLiter is a web-based SQLite database editor packaged as a single executable. It provides a comprehensive interface for browsing, editing, and managing SQLite databases with features like CRUD operations, advanced data editing, filtering, sorting, SQL editor, data export, and schema information display.
🔗 Links:
• View Project
================
🔓 Open Source
✨ GhidraGPT | Java
🎯 Primary Use Case:
Automated code analysis and enhancement in reverse engineering workflows using AI.
✨ Key Features:
• AI-powered code enhancement (function and variable renaming)
• Detailed code explanation
• Vulnerability detection and security analysis
• Multi-LLM support (OpenAI, Anthropic, Google Gemini, etc.)
• Flexible configuration
📖 Summary:
GhidraGPT is a Ghidra plugin that leverages Large Language Models (LLMs) to enhance reverse engineering workflows. It provides AI-powered code analysis, function and variable renaming, vulnerability detection, and code explanation capabilities directly within the Ghidra environment.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Automated code analysis and enhancement in reverse engineering workflows using AI.
✨ Key Features:
• AI-powered code enhancement (function and variable renaming)
• Detailed code explanation
• Vulnerability detection and security analysis
• Multi-LLM support (OpenAI, Anthropic, Google Gemini, etc.)
• Flexible configuration
📖 Summary:
GhidraGPT is a Ghidra plugin that leverages Large Language Models (LLMs) to enhance reverse engineering workflows. It provides AI-powered code analysis, function and variable renaming, vulnerability detection, and code explanation capabilities directly within the Ghidra environment.
🔗 Links:
• View Project
================
🔓 Open Source
🌟 CamXploit | Python
🎯 Primary Use Case:
Identifying and assessing the security posture of IP cameras and related devices by detecting exposed services, default credentials, and known vulnerabilities.
✨ Key Features:
• Scans common CCTV ports
• Detects exposed camera login pages
• Checks if the device is a camera stream
• Identifies camera brands & known vulnerabilities
• Tests for default credentials on login pages
📖 Summary:
CamXploit is a Python-based reconnaissance tool designed for security researchers and enthusiasts to identify exposed IP cameras. It automates the process of scanning for open ports, detecting login pages, testing default credentials, and identifying known vulnerabilities associated with IP cameras, DVRs, and NVRs.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Identifying and assessing the security posture of IP cameras and related devices by detecting exposed services, default credentials, and known vulnerabilities.
✨ Key Features:
• Scans common CCTV ports
• Detects exposed camera login pages
• Checks if the device is a camera stream
• Identifies camera brands & known vulnerabilities
• Tests for default credentials on login pages
📖 Summary:
CamXploit is a Python-based reconnaissance tool designed for security researchers and enthusiasts to identify exposed IP cameras. It automates the process of scanning for open ports, detecting login pages, testing default credentials, and identifying known vulnerabilities associated with IP cameras, DVRs, and NVRs.
🔗 Links:
• View Project
================
🔓 Open Source
✨ kreuzberg | Python
🎯 Primary Use Case:
Extracting text, metadata, and structured data from documents for applications like information retrieval, data analysis, and document processing workflows.
✨ Key Features:
• Text Extraction
• Image Extraction
• Metadata Extraction
• Format Support (21 document types)
• OCR Integration (Tesseract)
📖 Summary:
Kreuzberg is a Python document intelligence framework designed to extract text, metadata, and structured information from various document formats like PDFs, images, and Office documents. It offers a unified API built on open-source technologies such as Pandoc, PDFium, and Tesseract, providing capabilities like text extraction, OCR, metadata extraction, and document classification.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Extracting text, metadata, and structured data from documents for applications like information retrieval, data analysis, and document processing workflows.
✨ Key Features:
• Text Extraction
• Image Extraction
• Metadata Extraction
• Format Support (21 document types)
• OCR Integration (Tesseract)
📖 Summary:
Kreuzberg is a Python document intelligence framework designed to extract text, metadata, and structured information from various document formats like PDFs, images, and Office documents. It offers a unified API built on open-source technologies such as Pandoc, PDFium, and Tesseract, providing capabilities like text extraction, OCR, metadata extraction, and document classification.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 magnitude | TypeScript
🎯 Primary Use Case:
Automating web tasks using vision AI and natural language.
✨ Key Features:
• Vision-first architecture
• Natural language control
• Web automation
• Data extraction
• Visual assertions
📖 Summary:
Magnitude is an open-source browser agent that uses vision AI to automate tasks on the web, integrate between apps, extract data, and test web applications. It enables controlling the browser with natural language, navigating interfaces, interacting with elements, extracting structured data, and verifying actions with visual assertions.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automating web tasks using vision AI and natural language.
✨ Key Features:
• Vision-first architecture
• Natural language control
• Web automation
• Data extraction
• Visual assertions
📖 Summary:
Magnitude is an open-source browser agent that uses vision AI to automate tasks on the web, integrate between apps, extract data, and test web applications. It enables controlling the browser with natural language, navigating interfaces, interacting with elements, extracting structured data, and verifying actions with visual assertions.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ prompt-forge | Go
🎯 Primary Use Case:
Crafting, testing, and systematically evaluating prompts for AI models.
✨ Key Features:
• Smart Prompt Generation
• Advanced Prompt Analysis
• Systematic Evaluation
• Performance Analytics
• Version Control
📖 Summary:
PromptForge is an AI prompt engineering workbench designed to streamline the process of crafting, testing, and evaluating prompts. It offers features like AI-powered prompt generation, advanced analysis, systematic evaluation, and performance analytics, aiming to bring engineering discipline to prompt development.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Crafting, testing, and systematically evaluating prompts for AI models.
✨ Key Features:
• Smart Prompt Generation
• Advanced Prompt Analysis
• Systematic Evaluation
• Performance Analytics
• Version Control
📖 Summary:
PromptForge is an AI prompt engineering workbench designed to streamline the process of crafting, testing, and evaluating prompts. It offers features like AI-powered prompt generation, advanced analysis, systematic evaluation, and performance analytics, aiming to bring engineering discipline to prompt development.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 ffclipper | Python
🎯 Primary Use Case:
Clipping sections from video files using ffmpeg with a user-friendly interface and sensible defaults.
✨ Key Features:
• CLI and Qt-based GUI
• Stream copy and transcode output modes
• Automatic hardware acceleration (NVENC)
• Tonemapping
• Two-pass encoding for target file size
📖 Summary:
ffclipper is a lightweight frontend for ffmpeg designed for convenient video clipping. It offers both a CLI and a Qt-based GUI, supporting features like stream copying, transcoding, automatic hardware acceleration (NVENC), tonemapping, two-pass encoding for target file sizes, and subtitle handling.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Clipping sections from video files using ffmpeg with a user-friendly interface and sensible defaults.
✨ Key Features:
• CLI and Qt-based GUI
• Stream copy and transcode output modes
• Automatic hardware acceleration (NVENC)
• Tonemapping
• Two-pass encoding for target file size
📖 Summary:
ffclipper is a lightweight frontend for ffmpeg designed for convenient video clipping. It offers both a CLI and a Qt-based GUI, supporting features like stream copying, transcoding, automatic hardware acceleration (NVENC), tonemapping, two-pass encoding for target file sizes, and subtitle handling.
🔗 Links:
• View Project
================
🔓 Open Source
❤1
✨ port-kill | Rust
🎯 Primary Use Case:
Finding and freeing up blocked ports to facilitate development workflows.
✨ Key Features:
• Real-time process detection on specific ports or ranges
• One-shot cleanup (--reset)
• Smart filtering and ignore lists
• Port Guard Mode (watch/reserve/auto-resolve)
• Security Audit Mode (suspicious ports, risk score, JSON)
📖 Summary:
Port Kill is a Rust-based tool designed to identify and free ports that are blocking development work. It supports macOS, Linux, and Windows, offering a CLI, status bar integration, and an optional dashboard for managing port usage locally or over SSH.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Finding and freeing up blocked ports to facilitate development workflows.
✨ Key Features:
• Real-time process detection on specific ports or ranges
• One-shot cleanup (--reset)
• Smart filtering and ignore lists
• Port Guard Mode (watch/reserve/auto-resolve)
• Security Audit Mode (suspicious ports, risk score, JSON)
📖 Summary:
Port Kill is a Rust-based tool designed to identify and free ports that are blocking development work. It supports macOS, Linux, and Windows, offering a CLI, status bar integration, and an optional dashboard for managing port usage locally or over SSH.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source