An agnostic AI-driven exploratory test framework that intelligently explores, tests, and validates any application
Use LLM to convert requirement in plain english to Playwright script
This project implements an AI agent that verifies if automated Hercules test runs were executed as intended by comparing planning logs, video evidence, and final outputs. It uses open-source LLMs and computer vision tools to flag deviations, providing detailed reports with technical insights.
The first MCP server for autonomous Flutter testing on real iPhones and Android devices. 110 tools across Android (uiautomator2+adb), iOS (WebDriverAgent+pymobiledevice3), Flutter (Patrol + flutter run --machine). Works with Claude Desktop, Claude Code, Cursor.
AI-driven exploratory browser testing — LLM observes live DOM and decides next action; no fixed scripts, self-healing selectors, Allure + Jenkins CI
Add a login page - done in 5 minutes. Autonomous AI agent for webapp feature development: planning, implementation, testing, debugging, delivery. Built on OpenCode superpowers workflow.
AI Testing Agent Framework · 16 experts + 32 skills + 49 utils · Multi-LLM (Claude/OpenAI/Qwen/etc) · MCP-native · Open-source · Learn-while-using
Applitools — visual AI testing + autonomous AI + Eyes + Execution Cloud
Sentinel QA Phase 3 — full cognitive QA ecosystem: AI generates test plans, Streamlit HITL approval, parallel Playwright execution via pytest-xdist, autonomous Jira bug triage with SQLite memory
Autonomous browser testing framework with Playwright
Open-source MCP server + Claude Code skill that gives Claude the ability to autonomously explore any macOS application, analyze its user experience, map its full feature scope, and produce a rich human-readable audit report.
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