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Kagura AI
Kagura AI is an AI-powered testing tool designed for modern development teams. It generates, executes, and evolves QA tests automatically from a URL and a description of what to test. Kagura AI adapts to UI changes, allowing users to pause mid-test to interact, eliminating scripting and maintenance.
tide
tide is a toolbox for identifying object detection errors. It helps compute and evaluate the effect of object detection and instance segmentation on overall performance. The tool is designed to be easy to use and provides insights into improving object detection models.
TextAttack
TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP. It allows users to generate adversarial examples to test and improve the robustness of NLP models. The tool is open-source and provides documentation on ReadTheDocs.
claude-code-reverse
claude-code-reverse is a tool to visualize the interactions of Claude Code's LLM. It allows users to reverse engineer and analyze the behavior of the AI model. An interactive visualization tool is available to experience the reverse engineering analysis results. It helps in understanding code execution within Claude.
web-eval-agent
Web-eval-agent is an MCP server designed to autonomously evaluate web applications. It uses a browser-use powered agent to execute and debug web apps directly in a code editor. Note: This project has been discontinued.
arbigent
Arbigent is an AI agent framework for testing Android, iOS, and web applications. It features an intuitive UI and code interface. The tool's scenario breakdown feature ensures scalability for complex tasks. Arbigent allows users to get started with AI agent testing in minutes.