Agent-QA – natural-language E2E tests for apps built with coding agents
Agentic test runtime builds execution memory to heal flaky tests automatically.

Natural language E2E tests with execution memory, competing with Playwright and Cypress.
QA engineers, frontend developers, SREs
Playwright · Cypress · Testim
Agentic test runtime builds execution memory to heal flaky tests automatically.
Natural language E2E tests sound good until you need debugging or maintenance.
They've traded brittle selector-based scripts for a vision-and-planning loop: describe a test in plain English, the agent visually inspects the UI, plans actions, executes them (including OS-level interactions) and iterates until success or failure. If it actually nails reproducible CI-friendly runs, debuggable artifacts, and edge cases like dynamic content and auth flows, this could be a meaningful shift — but those operational details will make or break it.
Natural language policies block risky agent actions before they execute.
Self-healing tests that remember UI changes so you stop fixing broken selectors.
Agents write editable orchestration code, not framework blanks—genuinely different from LangGraph.