🔥 video-shotcraft | TypeScript
🎯 Primary Use Case:
To automatically generate cinematic product videos using AI, leveraging Claude Code or Codex and the Remotion framework.
✨ Key Features:
• AI agent skill for Claude Code & Codex
• Creates cinematic product videos
• Uses Remotion for animation and production
• Includes 152 shot recipe cards and 209 motion previews
📖 Summary:
video-shotcraft is an AI agent skill that transforms Claude Code or Codex into a motion design studio, enabling the creation of cinematic product videos. It uses Remotion to storyboard, animate, and sound-design promotional, marketing, or demo videos with features like real page captures, 2.5D camera moves, and beat-synced cuts.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To automatically generate cinematic product videos using AI, leveraging Claude Code or Codex and the Remotion framework.
✨ Key Features:
• AI agent skill for Claude Code & Codex
• Creates cinematic product videos
• Uses Remotion for animation and production
• Includes 152 shot recipe cards and 209 motion previews
📖 Summary:
video-shotcraft is an AI agent skill that transforms Claude Code or Codex into a motion design studio, enabling the creation of cinematic product videos. It uses Remotion to storyboard, animate, and sound-design promotional, marketing, or demo videos with features like real page captures, 2.5D camera moves, and beat-synced cuts.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 text-to-cad | Python
🎯 Primary Use Case:
Automating the generation and manipulation of CAD and robot description files using natural language commands and AI agents.
✨ Key Features:
• Agent skills for CAD, CAE, and CAM
• Text-to-CAD model generation
• Image-to-CAD model generation
• STEP, STL, 3MF export for CAD
• URDF and SDF generation for robotics
📖 Summary:
The text-to-cad repository provides a Python library of agent skills designed to automate the creation, inspection, and manipulation of CAD, CAE, and CAM artifacts. It enables users to generate and modify CAD models, robot descriptions (URDF, SRDF), and simulation files (SDF) using natural language or image inputs.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automating the generation and manipulation of CAD and robot description files using natural language commands and AI agents.
✨ Key Features:
• Agent skills for CAD, CAE, and CAM
• Text-to-CAD model generation
• Image-to-CAD model generation
• STEP, STL, 3MF export for CAD
• URDF and SDF generation for robotics
📖 Summary:
The text-to-cad repository provides a Python library of agent skills designed to automate the creation, inspection, and manipulation of CAD, CAE, and CAM artifacts. It enables users to generate and modify CAD models, robot descriptions (URDF, SRDF), and simulation files (SDF) using natural language or image inputs.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤1
🚀 llm-wiki | Python
🎯 Primary Use Case:
To create and manage LLM-compiled knowledge bases for AI agents, facilitating research, project development, and information retrieval.
✨ Key Features:
• LLM-compiled knowledge bases
• Parallel multi-agent research
• Source ingestion and wiki compilation
• Querying and artifact generation
• Support for Claude Code, OpenAI Codex, OpenCode
📖 Summary:
LLM-Wiki compiles and organizes knowledge for AI agents, transforming raw ideas into structured projects. It supports parallel research, source ingestion, and artifact generation, with compatibility for various AI models and Obsidian.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To create and manage LLM-compiled knowledge bases for AI agents, facilitating research, project development, and information retrieval.
✨ Key Features:
• LLM-compiled knowledge bases
• Parallel multi-agent research
• Source ingestion and wiki compilation
• Querying and artifact generation
• Support for Claude Code, OpenAI Codex, OpenCode
📖 Summary:
LLM-Wiki compiles and organizes knowledge for AI agents, transforming raw ideas into structured projects. It supports parallel research, source ingestion, and artifact generation, with compatibility for various AI models and Obsidian.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ AutoHedge | Python
🎯 Primary Use Case:
To build and operate an autonomous hedge fund that automates trading strategies.
✨ Key Features:
• Multi-Agent Architecture (Director, Quant, Risk Management, Execution Agents)
• Real-Time Market Analysis
• Risk-First Design
• Structured Output (JSON)
• Enterprise Logging
📖 Summary:
AutoHedge is an enterprise-grade autonomous agent hedge fund that automates market analysis, risk management, and trade execution on platforms like Solana. It leverages swarm intelligence and specialized AI agents for end-to-end trading operations with minimal human intervention.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To build and operate an autonomous hedge fund that automates trading strategies.
✨ Key Features:
• Multi-Agent Architecture (Director, Quant, Risk Management, Execution Agents)
• Real-Time Market Analysis
• Risk-First Design
• Structured Output (JSON)
• Enterprise Logging
📖 Summary:
AutoHedge is an enterprise-grade autonomous agent hedge fund that automates market analysis, risk management, and trade execution on platforms like Solana. It leverages swarm intelligence and specialized AI agents for end-to-end trading operations with minimal human intervention.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 ai-file-sorter | C++
🎯 Primary Use Case:
To automatically organize and rename files on a user's computer based on their content and metadata, reducing clutter and improving findability.
✨ Key Features:
• Content-aware file organization and renaming
• Support for local and remote LLMs
• Preview-based workflow with user control
• Analysis of image content, document text, and media metadata
• Cross-platform compatibility (Windows, macOS, Linux)
📖 Summary:
AI File Sorter is a cross-platform desktop application designed to intelligently organize and rename files using AI. It supports both local and remote LLMs, offers a preview-based workflow for user control, and can process images, documents, audio, and video files.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To automatically organize and rename files on a user's computer based on their content and metadata, reducing clutter and improving findability.
✨ Key Features:
• Content-aware file organization and renaming
• Support for local and remote LLMs
• Preview-based workflow with user control
• Analysis of image content, document text, and media metadata
• Cross-platform compatibility (Windows, macOS, Linux)
📖 Summary:
AI File Sorter is a cross-platform desktop application designed to intelligently organize and rename files using AI. It supports both local and remote LLMs, offers a preview-based workflow for user control, and can process images, documents, audio, and video files.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 VoiceStudio | Python
🎯 Primary Use Case:
To provide users with a powerful, private, and cost-effective solution for all their voice generation, cloning, and audio processing needs directly on their own hardware.
✨ Key Features:
• Voice cloning and design
• Video dubbing
• Dictation and transcription
• Audiobook creation
• Support for 646 languages
📖 Summary:
VoiceStudio is an open-source, local-first alternative to ElevenLabs, offering advanced voice cloning, design, and audio production tools. It supports a vast range of languages and TTS/ASR engines, running entirely on user hardware without subscriptions or API keys.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide users with a powerful, private, and cost-effective solution for all their voice generation, cloning, and audio processing needs directly on their own hardware.
✨ Key Features:
• Voice cloning and design
• Video dubbing
• Dictation and transcription
• Audiobook creation
• Support for 646 languages
📖 Summary:
VoiceStudio is an open-source, local-first alternative to ElevenLabs, offering advanced voice cloning, design, and audio production tools. It supports a vast range of languages and TTS/ASR engines, running entirely on user hardware without subscriptions or API keys.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
❤1
🚀 archify | JavaScript
🎯 Primary Use Case:
To automatically generate verifiable, interactive architecture and system diagrams from code or descriptions, facilitating code review and system understanding.
✨ Key Features:
• Generates interactive system maps from codebases or descriptions
• Supports five diagram types and four presets
• Offers dark/light themes and built-in brand marks
📖 Summary:
Archify is a Node.js system for generating interactive architecture diagrams from codebases or system descriptions. It supports multiple diagram types and presets, offers features for reviewing architectural changes, and produces self-contained HTML files with various export options.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To automatically generate verifiable, interactive architecture and system diagrams from code or descriptions, facilitating code review and system understanding.
✨ Key Features:
• Generates interactive system maps from codebases or descriptions
• Supports five diagram types and four presets
• Offers dark/light themes and built-in brand marks
📖 Summary:
Archify is a Node.js system for generating interactive architecture diagrams from codebases or system descriptions. It supports multiple diagram types and presets, offers features for reviewing architectural changes, and produces self-contained HTML files with various export options.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 Vibe-Trading | Python
🎯 Primary Use Case:
To provide a comprehensive and intelligent platform for individuals to engage in algorithmic trading, backtesting, and market analysis through a personal trading agent.
✨ Key Features:
• Multi-agent trading system
• AI-powered trading strategies
• LLM integration for trading insights
• Backtesting capabilities
• FastAPI backend
📖 Summary:
Vibe-Trading is a Python-based personal trading agent that empowers users with comprehensive trading capabilities. It leverages multi-agent systems, AI, and LLMs to facilitate algorithmic trading, backtesting, and market analysis through a FastAPI backend and React frontend.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide a comprehensive and intelligent platform for individuals to engage in algorithmic trading, backtesting, and market analysis through a personal trading agent.
✨ Key Features:
• Multi-agent trading system
• AI-powered trading strategies
• LLM integration for trading insights
• Backtesting capabilities
• FastAPI backend
📖 Summary:
Vibe-Trading is a Python-based personal trading agent that empowers users with comprehensive trading capabilities. It leverages multi-agent systems, AI, and LLMs to facilitate algorithmic trading, backtesting, and market analysis through a FastAPI backend and React frontend.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 claude-ads | Python
🎯 Primary Use Case:
Automating and auditing paid-media operations across multiple advertising platforms with a focus on safety, control, and data integrity.
✨ Key Features:
• Source-grounded audits with dated evidence and explicit confidence
• Campaign planning for channels, budgets, measurement, and experiments
• Creative asset generation briefs (copy, image, video)
📖 Summary:
Claude Ads is a Python-based, Claude-first paid-media operations tool designed to automate and audit advertising campaigns across 12 major platforms. It provides source-grounded audits, deterministic scoring, versioned reports, and capability-gated account changes, prioritizing safety and control.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automating and auditing paid-media operations across multiple advertising platforms with a focus on safety, control, and data integrity.
✨ Key Features:
• Source-grounded audits with dated evidence and explicit confidence
• Campaign planning for channels, budgets, measurement, and experiments
• Creative asset generation briefs (copy, image, video)
📖 Summary:
Claude Ads is a Python-based, Claude-first paid-media operations tool designed to automate and audit advertising campaigns across 12 major platforms. It provides source-grounded audits, deterministic scoring, versioned reports, and capability-gated account changes, prioritizing safety and control.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 web-check | TypeScript
🎯 Primary Use Case:
Website analysis for open-source intelligence (OSINT), security assessment, and performance optimization.
✨ Key Features:
• IP info
• SSL chain analysis
• DNS records
• Cookie inspection
• HTTP headers
📖 Summary:
Web-Check is a comprehensive OSINT tool written in TypeScript that analyzes websites to provide detailed insights into their security, technology stack, and performance. It helps users understand, optimize, and secure their web presence by uncovering potential attack vectors, server configurations, and associated hostnames.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Website analysis for open-source intelligence (OSINT), security assessment, and performance optimization.
✨ Key Features:
• IP info
• SSL chain analysis
• DNS records
• Cookie inspection
• HTTP headers
📖 Summary:
Web-Check is a comprehensive OSINT tool written in TypeScript that analyzes websites to provide detailed insights into their security, technology stack, and performance. It helps users understand, optimize, and secure their web presence by uncovering potential attack vectors, server configurations, and associated hostnames.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 Neoflow | JavaScript
🎯 Primary Use Case:
Real-time collaborative brainstorming and design on a digital whiteboard.
✨ Key Features:
• Free Forever
• Open Source
• Fun & Easy
• AI Integration
• tldraw Powered
📖 Summary:
Neoflow is an open-source, real-time collaborative whiteboard application built on the tldraw engine and powered by Next.js. It offers a user-friendly interface with AI integration to enhance creative workflows for teams and individuals.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Real-time collaborative brainstorming and design on a digital whiteboard.
✨ Key Features:
• Free Forever
• Open Source
• Fun & Easy
• AI Integration
• tldraw Powered
📖 Summary:
Neoflow is an open-source, real-time collaborative whiteboard application built on the tldraw engine and powered by Next.js. It offers a user-friendly interface with AI integration to enhance creative workflows for teams and individuals.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🐳1
🔥 visual-explainer | HTML
🎯 Primary Use Case:
To enhance the readability and visual presentation of information generated by coding agents, converting raw terminal output into accessible and interactive HTML pages.
✨ Key Features:
• Generates styled HTML pages from terminal output
• Supports diagrams, diff reviews, plan audits, data tables, and project recaps
• Interactive Mermaid diagrams with zoom and pan
• Dark/light themes
• No build step or dependencies beyond a browser for basic use
📖 Summary:
Visual-explainer is an agent skill that transforms complex terminal output, such as diagrams and tables, into user-friendly, styled HTML pages. It aims to make information generated by coding agents more readable and visually appealing, moving beyond basic ASCII art.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
To enhance the readability and visual presentation of information generated by coding agents, converting raw terminal output into accessible and interactive HTML pages.
✨ Key Features:
• Generates styled HTML pages from terminal output
• Supports diagrams, diff reviews, plan audits, data tables, and project recaps
• Interactive Mermaid diagrams with zoom and pan
• Dark/light themes
• No build step or dependencies beyond a browser for basic use
📖 Summary:
Visual-explainer is an agent skill that transforms complex terminal output, such as diagrams and tables, into user-friendly, styled HTML pages. It aims to make information generated by coding agents more readable and visually appealing, moving beyond basic ASCII art.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 editor | TypeScript
🎯 Primary Use Case:
To provide a flexible and extensible platform for creating and editing 3D architectural models, with a focus on local-first operation and seamless integration with AI agents for enhanced workflows.
✨ Key Features:
• Open-source 3D architectural editor
• Local-first architecture
• Browser and CLI interface
• React Three Fiber and WebGPU powered
• AI agent integration via MCP
📖 Summary:
Pascal Editor is an open-source, local-first 3D architectural editor that runs in the browser or via a CLI. It leverages React Three Fiber and WebGPU for its rendering capabilities and integrates with AI agents through the Model Context Protocol (MCP).
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide a flexible and extensible platform for creating and editing 3D architectural models, with a focus on local-first operation and seamless integration with AI agents for enhanced workflows.
✨ Key Features:
• Open-source 3D architectural editor
• Local-first architecture
• Browser and CLI interface
• React Three Fiber and WebGPU powered
• AI agent integration via MCP
📖 Summary:
Pascal Editor is an open-source, local-first 3D architectural editor that runs in the browser or via a CLI. It leverages React Three Fiber and WebGPU for its rendering capabilities and integrates with AI agents through the Model Context Protocol (MCP).
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 OpenContext | JavaScript
🎯 Primary Use Case:
To provide AI agents with a persistent memory and knowledge base, enabling them to retain context across different coding sessions, projects, and interactions, thereby improving efficiency and reducing repetition.
✨ Key Features:
• Persistent memory for AI agents
• Reuses existing coding agent CLIs (Codex/Claude/OpenCode)
• Built-in Skills/tools for context management
📖 Summary:
OpenContext is a personal context and knowledge store for AI agents, allowing them to maintain memory across sessions and projects. It integrates with existing coding agent CLIs (like Codex, Claude/OpenCode) and provides a GUI, skills, and tools to capture, search, and reuse project knowledge.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To provide AI agents with a persistent memory and knowledge base, enabling them to retain context across different coding sessions, projects, and interactions, thereby improving efficiency and reducing repetition.
✨ Key Features:
• Persistent memory for AI agents
• Reuses existing coding agent CLIs (Codex/Claude/OpenCode)
• Built-in Skills/tools for context management
📖 Summary:
OpenContext is a personal context and knowledge store for AI agents, allowing them to maintain memory across sessions and projects. It integrates with existing coding agent CLIs (like Codex, Claude/OpenCode) and provides a GUI, skills, and tools to capture, search, and reuse project knowledge.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
👍1
✨ Text-Grab | C#
🎯 Primary Use Case:
Extracting and copying text from any visible content on a Windows screen, especially from sources where text selection is not possible.
✨ Key Features:
• OCR text extraction from various sources (screenshots, files)
• Local and private processing (no internet required)
• Multiple capture modes (Full-Screen, Window, Region, File)
• Post-grab cleanup and editing tools
• Clipboard output and direct editor integration
📖 Summary:
Text Grab is a Windows application that uses Optical Character Recognition (OCR) to extract text from images, PDFs, and other on-screen content. It offers multiple capture modes, local processing for privacy, and integration options for seamless workflow integration.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Extracting and copying text from any visible content on a Windows screen, especially from sources where text selection is not possible.
✨ Key Features:
• OCR text extraction from various sources (screenshots, files)
• Local and private processing (no internet required)
• Multiple capture modes (Full-Screen, Window, Region, File)
• Post-grab cleanup and editing tools
• Clipboard output and direct editor integration
📖 Summary:
Text Grab is a Windows application that uses Optical Character Recognition (OCR) to extract text from images, PDFs, and other on-screen content. It offers multiple capture modes, local processing for privacy, and integration options for seamless workflow integration.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥1
🔥 witr | Go
🎯 Primary Use Case:
Troubleshooting and understanding the root cause of running processes, services, or resource usage on a system by visualizing their entire startup chain.
✨ Key Features:
• Trace process, port, container, or file origins
• Explain the causality chain of how something started
• Provide machine-readable JSON output
• Offer an interactive TUI dashboard
📖 Summary:
witr is a command-line and TUI tool that traces the origin of any running process, port, container, or file back to its starting point. It helps users understand the causality chain behind system processes, going beyond what traditional tools like `ps` or `lsof` provide by explicitly showing how and why something is running.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Troubleshooting and understanding the root cause of running processes, services, or resource usage on a system by visualizing their entire startup chain.
✨ Key Features:
• Trace process, port, container, or file origins
• Explain the causality chain of how something started
• Provide machine-readable JSON output
• Offer an interactive TUI dashboard
📖 Summary:
witr is a command-line and TUI tool that traces the origin of any running process, port, container, or file back to its starting point. It helps users understand the causality chain behind system processes, going beyond what traditional tools like `ps` or `lsof` provide by explicitly showing how and why something is running.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 simutil | Dart
🎯 Primary Use Case:
Streamlining the process of launching and managing Android emulators and iOS simulators from a terminal interface, enhancing developer workflow efficiency.
✨ Key Features:
• One-Key Launch for emulators/simulators
• Android launch options (Normal, Cold Boot, No Audio)
• Shutdown devices
• Logcat viewer with filtering
• Wireless ADB connection (IP, 6-digit code, QR code pairing)
📖 Summary:
SimUtil is a cross-platform terminal UI application that allows users to quickly launch, manage, and connect to Android emulators and iOS simulators directly from the command line. It provides features like one-key launch, custom launch options, device shutdown, logcat viewing, wireless ADB connection, and extensibility through custom plugins.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Streamlining the process of launching and managing Android emulators and iOS simulators from a terminal interface, enhancing developer workflow efficiency.
✨ Key Features:
• One-Key Launch for emulators/simulators
• Android launch options (Normal, Cold Boot, No Audio)
• Shutdown devices
• Logcat viewer with filtering
• Wireless ADB connection (IP, 6-digit code, QR code pairing)
📖 Summary:
SimUtil is a cross-platform terminal UI application that allows users to quickly launch, manage, and connect to Android emulators and iOS simulators directly from the command line. It provides features like one-key launch, custom launch options, device shutdown, logcat viewing, wireless ADB connection, and extensibility through custom plugins.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 npxskillui | TypeScript
🎯 Primary Use Case:
To reverse-engineer existing design systems from any source (web, local, repo) and make them readily usable by AI code generation tools like Claude for rapid UI development.
✨ Key Features:
• Extracts design systems (colors, typography, spacing, components, animations, screenshots) from URLs, local directories, or Git repos.
📖 Summary:
SkillUI is a command-line interface tool that analyzes websites, local codebases, or Git repositories to extract their complete design systems. It packages this information into a format that AI models like Claude can directly use to generate UI code, enabling rapid UI development based on existing design languages.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
To reverse-engineer existing design systems from any source (web, local, repo) and make them readily usable by AI code generation tools like Claude for rapid UI development.
✨ Key Features:
• Extracts design systems (colors, typography, spacing, components, animations, screenshots) from URLs, local directories, or Git repos.
📖 Summary:
SkillUI is a command-line interface tool that analyzes websites, local codebases, or Git repositories to extract their complete design systems. It packages this information into a format that AI models like Claude can directly use to generate UI code, enabling rapid UI development based on existing design languages.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 docspell | Elm
🎯 Primary Use Case:
Organizing and managing personal or small group documents with automated metadata extraction and search capabilities.
✨ Key Features:
• Document organization and management
• Machine learning for metadata suggestion (tags, correspondents)
• Natural Language Processing (NLP) for information extraction
• Optical Character Recognition (OCR)
• Full-text search
📖 Summary:
Docspell is a personal document management system designed to help users organize scanned documents, emails, and other files. It leverages machine learning and NLP to automatically suggest tags, correspondents, and extract information like dates, and also provides OCR, full-text search, and a REST API for integration.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Organizing and managing personal or small group documents with automated metadata extraction and search capabilities.
✨ Key Features:
• Document organization and management
• Machine learning for metadata suggestion (tags, correspondents)
• Natural Language Processing (NLP) for information extraction
• Optical Character Recognition (OCR)
• Full-text search
📖 Summary:
Docspell is a personal document management system designed to help users organize scanned documents, emails, and other files. It leverages machine learning and NLP to automatically suggest tags, correspondents, and extract information like dates, and also provides OCR, full-text search, and a REST API for integration.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 reconya | Go
🎯 Primary Use Case:
Real-time network device discovery, monitoring, and asset management for network administrators and security professionals.
✨ Key Features:
• IPv4 network scanning (ICMP sweeps, TCP probes, ARP)
• IPv6 passive monitoring (neighbor discovery, interface monitoring)
• Device identification (MAC, vendor, hostname, OS fingerprinting)
• Port scanning with service detection and banner grabbing
📖 Summary:
ReconYa is a Go-based network reconnaissance and asset discovery tool designed for network administrators and security professionals. It provides real-time monitoring of local network devices, including IPv4 scanning and IPv6 passive monitoring, with features like device identification, port scanning, and alerting.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Real-time network device discovery, monitoring, and asset management for network administrators and security professionals.
✨ Key Features:
• IPv4 network scanning (ICMP sweeps, TCP probes, ARP)
• IPv6 passive monitoring (neighbor discovery, interface monitoring)
• Device identification (MAC, vendor, hostname, OS fingerprinting)
• Port scanning with service detection and banner grabbing
📖 Summary:
ReconYa is a Go-based network reconnaissance and asset discovery tool designed for network administrators and security professionals. It provides real-time monitoring of local network devices, including IPv4 scanning and IPv6 passive monitoring, with features like device identification, port scanning, and alerting.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source