✨ theHarvester | Python
🎯 Primary Use Case:
Reconnaissance and information gathering for red team assessments and penetration testing.
✨ Key Features:
• Email harvesting
• Subdomain enumeration
• IP address discovery
• URL extraction
• OSINT gathering from multiple public resources
📖 Summary:
theHarvester is an OSINT tool used during the reconnaissance phase of penetration testing and red team assessments. It gathers information like emails, subdomains, IPs, and URLs from various public resources to map a domain's external threat landscape.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Reconnaissance and information gathering for red team assessments and penetration testing.
✨ Key Features:
• Email harvesting
• Subdomain enumeration
• IP address discovery
• URL extraction
• OSINT gathering from multiple public resources
📖 Summary:
theHarvester is an OSINT tool used during the reconnaissance phase of penetration testing and red team assessments. It gathers information like emails, subdomains, IPs, and URLs from various public resources to map a domain's external threat landscape.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 mediabunny | TypeScript
🎯 Primary Use Case:
Reading, writing, and converting media files in the browser.
✨ Key Features:
• Wide format support (MP4, MOV, WebM, MKV, WAVE, MP3, Ogg, ADTS, FLAC)
• Built-in encoding & decoding (25+ codecs, WebCodecs API)
• High precision (microsecond-accurate)
• Conversion API (transmuxing, transcoding, resizing, etc.)
• Streaming I/O
📖 Summary:
Mediabunny is a JavaScript library written in TypeScript for reading, writing, and converting media files directly in the browser. It supports a wide range of formats and codecs, aiming to provide high-performance media operations with zero dependencies and tree-shakable bundling.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Reading, writing, and converting media files in the browser.
✨ Key Features:
• Wide format support (MP4, MOV, WebM, MKV, WAVE, MP3, Ogg, ADTS, FLAC)
• Built-in encoding & decoding (25+ codecs, WebCodecs API)
• High precision (microsecond-accurate)
• Conversion API (transmuxing, transcoding, resizing, etc.)
• Streaming I/O
📖 Summary:
Mediabunny is a JavaScript library written in TypeScript for reading, writing, and converting media files directly in the browser. It supports a wide range of formats and codecs, aiming to provide high-performance media operations with zero dependencies and tree-shakable bundling.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 DrawPen | JavaScript
🎯 Primary Use Case:
Real-time screen annotation for presentations, tutorials, or demonstrations.
✨ Key Features:
• Screen annotation
• Cross-platform support (macOS, Windows, Linux)
• Various annotation tools (pen, shapes, text, highlighter, laser, eraser)
• Customizable keybindings
• Toolbar and whiteboard visibility control
📖 Summary:
DrawPen is a cross-platform screen annotation tool that allows users to draw on their screen in real-time. It supports macOS, Windows, and Linux and offers features like pen, shapes, text, highlighter, laser pointer, and eraser. It also provides customizable keybindings for quick access to different tools.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Real-time screen annotation for presentations, tutorials, or demonstrations.
✨ Key Features:
• Screen annotation
• Cross-platform support (macOS, Windows, Linux)
• Various annotation tools (pen, shapes, text, highlighter, laser, eraser)
• Customizable keybindings
• Toolbar and whiteboard visibility control
📖 Summary:
DrawPen is a cross-platform screen annotation tool that allows users to draw on their screen in real-time. It supports macOS, Windows, and Linux and offers features like pen, shapes, text, highlighter, laser pointer, and eraser. It also provides customizable keybindings for quick access to different tools.
🔗 Links:
• View Project
================
🔓 Open Source
✨ KeyTik | Python
🎯 Primary Use Case:
Automating repetitive tasks and customizing keyboard/mouse input for improved efficiency and accessibility.
✨ Key Features:
• Key mapping
• Click automation
• Macro creation
• Multi-profile support
• Bind to Programs and Devices
📖 Summary:
KeyTik is a Python-based automation tool that leverages AutoHotkey to provide key mapping, macro creation, and click automation functionalities. It allows users to create custom profiles for remapping keys, automating mouse clicks, and executing complex macros across various applications and devices.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automating repetitive tasks and customizing keyboard/mouse input for improved efficiency and accessibility.
✨ Key Features:
• Key mapping
• Click automation
• Macro creation
• Multi-profile support
• Bind to Programs and Devices
📖 Summary:
KeyTik is a Python-based automation tool that leverages AutoHotkey to provide key mapping, macro creation, and click automation functionalities. It allows users to create custom profiles for remapping keys, automating mouse clicks, and executing complex macros across various applications and devices.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🚀 MassGen | Python
🎯 Primary Use Case:
Scaling GenAI applications through multi-agent collaboration.
✨ Key Features:
• Cross-Model/Agent Synergy
• Parallel Processing
• Intelligence Sharing
• Consensus Building
• Live Visualization
📖 Summary:
MassGen is an open-source multi-agent system designed for scaling GenAI applications. It enables parallel processing, intelligence sharing, and consensus building among multiple AI agents to solve complex tasks, inspired by systems like Grok Heavy and Gemini Deep Think. The system supports features like cross-model synergy, live visualization, and adaptive coordination.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Scaling GenAI applications through multi-agent collaboration.
✨ Key Features:
• Cross-Model/Agent Synergy
• Parallel Processing
• Intelligence Sharing
• Consensus Building
• Live Visualization
📖 Summary:
MassGen is an open-source multi-agent system designed for scaling GenAI applications. It enables parallel processing, intelligence sharing, and consensus building among multiple AI agents to solve complex tasks, inspired by systems like Grok Heavy and Gemini Deep Think. The system supports features like cross-model synergy, live visualization, and adaptive coordination.
🔗 Links:
• View Project
================
🔓 Open Source
💡 NextTube | JavaScript
🎯 Primary Use Case:
Providing a privacy-focused, ad-free alternative to YouTube for watching online videos.
✨ Key Features:
• Modern UI design
• Ad-free experience with built-in adblock
• Privacy-focused
• Customizable video playback controls
• Search functionality
📖 Summary:
NextTube is a ReactJS-based YouTube alternative frontend that prioritizes user privacy and an ad-free experience. It offers features like a modern UI, customizable playback controls, search functionality, playlist management, and user account creation, aiming to provide a more secure and user-friendly video-watching platform.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Providing a privacy-focused, ad-free alternative to YouTube for watching online videos.
✨ Key Features:
• Modern UI design
• Ad-free experience with built-in adblock
• Privacy-focused
• Customizable video playback controls
• Search functionality
📖 Summary:
NextTube is a ReactJS-based YouTube alternative frontend that prioritizes user privacy and an ad-free experience. It offers features like a modern UI, customizable playback controls, search functionality, playlist management, and user account creation, aiming to provide a more secure and user-friendly video-watching platform.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 activepieces | TypeScript
🎯 Primary Use Case:
Automating workflows and building AI agents through a no-code interface with extensible, open-source integrations.
✨ Key Features:
• AI workflow automation
• Open-source piece integrations
• TypeScript-based piece framework
📖 Summary:
Activepieces is an open-source, TypeScript-based platform for AI workflow automation and building AI agents. It provides a no-code interface for creating workflows and integrates with various services through customizable pieces, which can also be used as MCP (Multi-Cloud Processing) servers for AI agents. It aims to be an extensible and secure alternative to Zapier, with a focus on AI-first capabilities and community contributions.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automating workflows and building AI agents through a no-code interface with extensible, open-source integrations.
✨ Key Features:
• AI workflow automation
• Open-source piece integrations
• TypeScript-based piece framework
📖 Summary:
Activepieces is an open-source, TypeScript-based platform for AI workflow automation and building AI agents. It provides a no-code interface for creating workflows and integrates with various services through customizable pieces, which can also be used as MCP (Multi-Cloud Processing) servers for AI agents. It aims to be an extensible and secure alternative to Zapier, with a focus on AI-first capabilities and community contributions.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 youtu-agent | Python
🎯 Primary Use Case:
Building, running, and evaluating autonomous agents with open-source models for various tasks like data analysis and research.
✨ Key Features:
• Verified performance on WebWalkerQA and GAIA benchmarks using DeepSeek-V3 series models.
• Open-source friendly and cost-aware design.
• Out-of-the-box support for CSV analysis, literature review, and file organization.
📖 Summary:
Youtu-Agent is a flexible, high-performance framework for building, running, and evaluating autonomous agents using open-source models. It supports tasks like data analysis, file processing, and deep research, and is optimized for accessible, low-cost deployment.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Building, running, and evaluating autonomous agents with open-source models for various tasks like data analysis and research.
✨ Key Features:
• Verified performance on WebWalkerQA and GAIA benchmarks using DeepSeek-V3 series models.
• Open-source friendly and cost-aware design.
• Out-of-the-box support for CSV analysis, literature review, and file organization.
📖 Summary:
Youtu-Agent is a flexible, high-performance framework for building, running, and evaluating autonomous agents using open-source models. It supports tasks like data analysis, file processing, and deep research, and is optimized for accessible, low-cost deployment.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ RLinf | Python
🎯 Primary Use Case:
Post-training foundation models (LLMs, VLMs, VLAs) via reinforcement learning.
✨ Key Features:
• Macro-to-Micro Flow (M2Flow)
• Flexible Execution Modes (Collocated, Disaggregated, Hybrid)
• Auto-scheduling Strategy
• Embodied Agent Support
• Online Reinforcement Learning Support
📖 Summary:
RLinf is an open-source infrastructure for post-training foundation models using reinforcement learning. It provides a flexible and scalable framework with features like macro-to-micro flow, flexible execution modes (collocated, disaggregated, hybrid), and auto-scheduling, supporting embodied agent development and integration with various VLA models and simulators.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Post-training foundation models (LLMs, VLMs, VLAs) via reinforcement learning.
✨ Key Features:
• Macro-to-Micro Flow (M2Flow)
• Flexible Execution Modes (Collocated, Disaggregated, Hybrid)
• Auto-scheduling Strategy
• Embodied Agent Support
• Online Reinforcement Learning Support
📖 Summary:
RLinf is an open-source infrastructure for post-training foundation models using reinforcement learning. It provides a flexible and scalable framework with features like macro-to-micro flow, flexible execution modes (collocated, disaggregated, hybrid), and auto-scheduling, supporting embodied agent development and integration with various VLA models and simulators.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
💡 Paper2Video | Python
🎯 Primary Use Case:
Generating presentation videos from scientific papers
✨ Key Features:
• Automatic video generation from scientific papers
• PaperTalker agent for presentation creation (slides, subtitling, cursor grounding, speech synthesis, talking-head video rendering)
📖 Summary:
Paper2Video automatically generates presentation videos from scientific papers. It addresses two main problems: creating a presentation video from a paper using PaperTalker (integrating slides, subtitling, cursor grounding, speech synthesis, and talking-head video rendering) and evaluating presentation video quality using the Paper2Video benchmark with designed metrics.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Generating presentation videos from scientific papers
✨ Key Features:
• Automatic video generation from scientific papers
• PaperTalker agent for presentation creation (slides, subtitling, cursor grounding, speech synthesis, talking-head video rendering)
📖 Summary:
Paper2Video automatically generates presentation videos from scientific papers. It addresses two main problems: creating a presentation video from a paper using PaperTalker (integrating slides, subtitling, cursor grounding, speech synthesis, and talking-head video rendering) and evaluating presentation video quality using the Paper2Video benchmark with designed metrics.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 server | TypeScript
🎯 Primary Use Case:
Secure, self-hosted file storage, sharing, and collaboration with a focus on data ownership and control.
✨ Key Features:
• Modern, Fast, and High-Performance Interface
• Security & Data Ownership
• Advanced User Access Control
• Collaboration & Integration (OnlyOffice)
• Powerful Full-Text Search
📖 Summary:
The Sync-in Server is a self-hosted, open-source platform for file storage, sharing, collaboration, and synchronization. It emphasizes data ownership and control, offering features like collaborative spaces, secure file sharing, and granular permission management for various environments.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Secure, self-hosted file storage, sharing, and collaboration with a focus on data ownership and control.
✨ Key Features:
• Modern, Fast, and High-Performance Interface
• Security & Data Ownership
• Advanced User Access Control
• Collaboration & Integration (OnlyOffice)
• Powerful Full-Text Search
📖 Summary:
The Sync-in Server is a self-hosted, open-source platform for file storage, sharing, collaboration, and synchronization. It emphasizes data ownership and control, offering features like collaborative spaces, secure file sharing, and granular permission management for various environments.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥1
✨ SummaryYou | Kotlin
🎯 Primary Use Case:
Summarizing various forms of digital content (YouTube videos, articles, images, and documents) using AI.
✨ Key Features:
• Summarize YouTube-Videos, Articles, Images and Documents with AI
• Set length of summary
• Read-Out the summaries
• History-Section
• Intelligent paywall detection
📖 Summary:
SummaryYou is an Android application that leverages AI to summarize various types of content, including YouTube videos, articles, images, and documents. It offers features like adjustable summary length, text-to-speech functionality, history tracking, intelligent paywall detection, and a Material Design 3-based user interface.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Summarizing various forms of digital content (YouTube videos, articles, images, and documents) using AI.
✨ Key Features:
• Summarize YouTube-Videos, Articles, Images and Documents with AI
• Set length of summary
• Read-Out the summaries
• History-Section
• Intelligent paywall detection
📖 Summary:
SummaryYou is an Android application that leverages AI to summarize various types of content, including YouTube videos, articles, images, and documents. It offers features like adjustable summary length, text-to-speech functionality, history tracking, intelligent paywall detection, and a Material Design 3-based user interface.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 MediaInfo | C++
🎯 Primary Use Case:
Analyzing video and audio files to extract and display their technical metadata and tags.
✨ Key Features:
• CLI for various desktop operating systems
• Qt GUI for Windows and Linux
• UWP GUI for Windows
• VCL GUI for Windows
• wxWidgets GUI for Windows and Linux
📖 Summary:
The MediaInfo repository provides a command-line interface (CLI) and graphical user interfaces (GUIs) for displaying technical and tag data extracted from video and audio files. It supports various operating systems, including Windows, macOS, Linux, Android, and Apple's operating systems, and offers different GUI options based on the platform.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Analyzing video and audio files to extract and display their technical metadata and tags.
✨ Key Features:
• CLI for various desktop operating systems
• Qt GUI for Windows and Linux
• UWP GUI for Windows
• VCL GUI for Windows
• wxWidgets GUI for Windows and Linux
📖 Summary:
The MediaInfo repository provides a command-line interface (CLI) and graphical user interfaces (GUIs) for displaying technical and tag data extracted from video and audio files. It supports various operating systems, including Windows, macOS, Linux, Android, and Apple's operating systems, and offers different GUI options based on the platform.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ dyad | TypeScript
🎯 Primary Use Case:
Building AI applications locally with user-provided API keys.
✨ Key Features:
• Local execution
• Bring your own keys
• Cross-platform compatibility
📖 Summary:
Dyad is a local, open-source AI app builder that allows users to create AI applications directly on their machines. It emphasizes speed, privacy, and user control, differentiating itself by allowing users to bring their own API keys and offering cross-platform compatibility.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Building AI applications locally with user-provided API keys.
✨ Key Features:
• Local execution
• Bring your own keys
• Cross-platform compatibility
📖 Summary:
Dyad is a local, open-source AI app builder that allows users to create AI applications directly on their machines. It emphasizes speed, privacy, and user control, differentiating itself by allowing users to bring their own API keys and offering cross-platform compatibility.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🌟 waha | TypeScript
🎯 Primary Use Case:
Automating WhatsApp interactions via HTTP API for tasks such as sending notifications, building chatbots, and integrating WhatsApp with other systems.
✨ Key Features:
• REST API for WhatsApp automation
• Session management
• Sending text messages
• Receiving messages (implicit)
• QR code scanning for authentication
📖 Summary:
WAHA is a WhatsApp HTTP API (REST API) that allows users to automate WhatsApp interactions through HTTP requests. It provides a simple way to send and receive messages, manage sessions, and integrate WhatsApp functionality into other applications. The API supports multiple engines, including browser-based (WEBJS), WebSocket Node.js (NOWEB), and WebSocket Go (GOWS).
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Automating WhatsApp interactions via HTTP API for tasks such as sending notifications, building chatbots, and integrating WhatsApp with other systems.
✨ Key Features:
• REST API for WhatsApp automation
• Session management
• Sending text messages
• Receiving messages (implicit)
• QR code scanning for authentication
📖 Summary:
WAHA is a WhatsApp HTTP API (REST API) that allows users to automate WhatsApp interactions through HTTP requests. It provides a simple way to send and receive messages, manage sessions, and integrate WhatsApp functionality into other applications. The API supports multiple engines, including browser-based (WEBJS), WebSocket Node.js (NOWEB), and WebSocket Go (GOWS).
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🔥 zuse | Go
🎯 Primary Use Case:
Chatting on IRC from the terminal.
✨ Key Features:
• Terminal-based IRC client
• Built with Go and Bubble Tea
• Minimal and distraction-free interface
• Keybindings for navigation (scrolling, switching panes, quitting)
📖 Summary:
ZUSE is a terminal-based IRC client written in Go using the Bubble Tea framework. It aims to provide a clean and distraction-free IRC experience directly within the terminal, allowing users to chat efficiently.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Chatting on IRC from the terminal.
✨ Key Features:
• Terminal-based IRC client
• Built with Go and Bubble Tea
• Minimal and distraction-free interface
• Keybindings for navigation (scrolling, switching panes, quitting)
📖 Summary:
ZUSE is a terminal-based IRC client written in Go using the Bubble Tea framework. It aims to provide a clean and distraction-free IRC experience directly within the terminal, allowing users to chat efficiently.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 duckstation | C++
🎯 Primary Use Case:
Emulating PlayStation 1 games on various platforms (Windows, Linux, macOS).
✨ Key Features:
• CPU Recompiler/JIT (x86-64, armv7/AArch32, AArch64, RISC-V/RV64)
• Hardware renderer supporting D3D11, D3D12, OpenGL, Vulkan and Metal APIs
• Upscaling, texture filtering, and true colour (24-bit) in hardware renderers
• PGXP for geometry precision, texture correction, and depth buffer emulation
• Save state support, with runahead and rewind
📖 Summary:
DuckStation is a PlayStation 1 emulator focused on playability, speed, and long-term maintainability. It aims for accuracy while maintaining performance on low-end devices, supporting various hardware renderers and CPU architectures.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Emulating PlayStation 1 games on various platforms (Windows, Linux, macOS).
✨ Key Features:
• CPU Recompiler/JIT (x86-64, armv7/AArch32, AArch64, RISC-V/RV64)
• Hardware renderer supporting D3D11, D3D12, OpenGL, Vulkan and Metal APIs
• Upscaling, texture filtering, and true colour (24-bit) in hardware renderers
• PGXP for geometry precision, texture correction, and depth buffer emulation
• Save state support, with runahead and rewind
📖 Summary:
DuckStation is a PlayStation 1 emulator focused on playability, speed, and long-term maintainability. It aims for accuracy while maintaining performance on low-end devices, supporting various hardware renderers and CPU architectures.
🔗 Links:
• View Project
================
🔓 Open Source
🚀 nanochat | Python
🎯 Primary Use Case:
Training and deploying a customizable LLM on a single machine for experimentation and learning.
✨ Key Features:
• Full-stack LLM implementation
• Single-node operation (8XH100)
• Complete pipeline: tokenization, pretraining, finetuning, evaluation, inference, web serving
• Minimal and hackable codebase
• Training and inference scripts (e.g., speedrun.sh)
📖 Summary:
nanochat is a full-stack implementation of an LLM similar to ChatGPT, designed to be minimal, hackable, and run on a single 8XH100 node. It covers the entire pipeline from tokenization to web serving, allowing users to train and interact with their own LLM. The repository provides scripts for pretraining, finetuning, evaluation, and inference, with a focus on accessibility and customization.
🔗 Links:
• View Project
================
🔓 Open Source
🎯 Primary Use Case:
Training and deploying a customizable LLM on a single machine for experimentation and learning.
✨ Key Features:
• Full-stack LLM implementation
• Single-node operation (8XH100)
• Complete pipeline: tokenization, pretraining, finetuning, evaluation, inference, web serving
• Minimal and hackable codebase
• Training and inference scripts (e.g., speedrun.sh)
📖 Summary:
nanochat is a full-stack implementation of an LLM similar to ChatGPT, designed to be minimal, hackable, and run on a single 8XH100 node. It covers the entire pipeline from tokenization to web serving, allowing users to train and interact with their own LLM. The repository provides scripts for pretraining, finetuning, evaluation, and inference, with a focus on accessibility and customization.
🔗 Links:
• View Project
================
🔓 Open Source
🔥 OpenStock | TypeScript
🎯 Primary Use Case:
Providing an open-source alternative to commercial stock market platforms for tracking and analysis.
✨ Key Features:
• Real-time price tracking
• Personalized alerts
• Detailed company insights
• Open-source and free
📖 Summary:
OpenStock is an open-source platform for tracking real-time stock prices, setting personalized alerts, and exploring company insights. It aims to provide a free alternative to expensive market platforms, built with technologies like Next.js, TypeScript, and MongoDB.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Providing an open-source alternative to commercial stock market platforms for tracking and analysis.
✨ Key Features:
• Real-time price tracking
• Personalized alerts
• Detailed company insights
• Open-source and free
📖 Summary:
OpenStock is an open-source platform for tracking real-time stock prices, setting personalized alerts, and exploring company insights. It aims to provide a free alternative to expensive market platforms, built with technologies like Next.js, TypeScript, and MongoDB.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
✨ VisualStoryWriting | TypeScript
🎯 Primary Use Case:
Editing and refining stories through visual manipulation and AI-powered suggestions.
✨ Key Features:
• Visualizing story events on a timeline
• Editing story text by manipulating visual representations
• Suggesting text edits based on character interactions
• Suggesting text edits based on character positions
📖 Summary:
The Visual Story-Writing repository provides a system that automatically visualizes a story based on its chronological events, characters, actions, and movements. It allows users to edit the story by manipulating these visual representations, with GPT-4o suggesting edits to the text based on the visual changes.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source
🎯 Primary Use Case:
Editing and refining stories through visual manipulation and AI-powered suggestions.
✨ Key Features:
• Visualizing story events on a timeline
• Editing story text by manipulating visual representations
• Suggesting text edits based on character interactions
• Suggesting text edits based on character positions
📖 Summary:
The Visual Story-Writing repository provides a system that automatically visualizes a story based on its chronological events, characters, actions, and movements. It allows users to edit the story by manipulating these visual representations, with GPT-4o suggesting edits to the text based on the visual changes.
🔗 Links:
• View Project
• Homepage
================
🔓 Open Source