An agnostic AI-driven exploratory test framework that intelligently explores, tests, and validates any application
AI Testing Agent Framework · 16 experts + 32 skills + 49 utils · Multi-LLM (Claude/OpenAI/Qwen/etc) · MCP-native · Open-source · Learn-while-using
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.
MCP tools that help coding agents test web apps systematically, find bugs, and deliver evidence-backed reports and regression tests for supported findings.
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.
Wopee.io MCP server: connect Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf or any MCP client to Wopee.io, the AI testing agent for web apps. Crawl your app, generate test cases, run them in a real browser, fetch results and file GitHub issues from chat.
AI-driven exploratory browser testing — LLM observes live DOM and decides next action; no fixed scripts, self-healing selectors, Allure + Jenkins CI
AI autonomous testing loop: observe, decide, execute, verify, and heal.
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.
Autonomous browser testing that turns discovered bugs into deterministic regression tests. A model may choose what to try; only browser evidence decides pass or fail. CLI + MCP server.
Autonomous QA loop for Claude Code & Codex — an AI agent uses your finished app like a real user in a sandbox, finds bugs, safely fixes them with regression tests, and loops until it converges. Hands-off, self-healing, honest.
AI-powered Playwright platform for autonomous testing, exploratory testing, bug discovery, root-cause analysis, and QA automation.
Repository for Github action running the Klarent flows.
Autonomous quality-engineering system for Android mobile apps. Learns intent from stories and docs, builds a versioned app twin, explores native APKs on an emulator via Appium (UiAutomator2), and reports only findings reproduced twice without AI.
AI agent that validates REST/SOAP APIs autonomously — reads OpenAPI specs, generates test cases, executes, and reports failures
Evolution Engine: improves software by using it like a real user and changing code only with evidence. Showcase (code private).
AI Agent for Mobile QA. Write plain language scenarios, run them on iOS and Android, get structured step-by-step report with screenshots as evidence.
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
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