{"repo":"presidio-oss/factif-ai","free":true,"listed":false,"github":"https://github.com/presidio-oss/factif-ai","clone":"git clone https://github.com/presidio-oss/factif-ai.git","description":"AI-powered computer control for automated testing. Factifai uses vision models (Claude, GPT-4o, Gemini) to interact with applications naturally - clicking, typing, and verifying results just like a human would.","language":"TypeScript","stars":56,"topics":["automated-testing","computer-use","hai","human-ai","omniparser","anthropic","automation","bedrock","claude","docker-vnc"],"license":"MIT","category":"workflow-automation","readme_excerpt":"Automate testing through AI-powered computer control. From manual steps to automated tests in minutes. 🚀 Factifai Factifai revolutionizes test automation by directly controlling your computer through AI. Using built-in vision capabilities of Claude, OpenAI, and Gemini along with computer use, it can navigate any application naturally - clicking, typing, and verifying results just like a human would. [!TIP] Looking for an agentic version? Check out https://factifai.io Table of Contents - 🌟 Overview - ✨ Key Features - 📥 Getting Started - 🖥️ Automation Modes - 🔍 Explore Mode - 🤝 Contributing - 📄 License - 📧 Contact 🌟 Overview In today's fast-paced software development landscape, efficient testing is crucial for delivering high-quality applications. Factifai transforms how teams approach testing by combining AI vision with direct computer control, enabling natural interaction with applications. ✨ Key Features 🔮 Multi-Modal Support Built-in support for leading vision-language models: - Claude : Anthropic's advanced vision and reasoning model - OpenAI : GPT-4o with visual understanding capabilities - Gemini : Google's multimodal AI for computer interaction - OmniParser : Screen Parsing tool for Pure Vision Based GUI Agent 🤖 AI-Powered Computer Control - Intelligent element detection and navigation - Automated verification and validation - Comprehensive test documentation with automated screenshot capture for each step - Integrated test case export with visual step-by-ste","default_branch":null,"files":null,"tree":[],"storefront":"/r/presidio-oss","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/presidio-oss/factif-ai/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}