Manta AI

Manta AI starts from a URL and crawls outward. It decides where to go next instead of following a fixed path. That means setup is close to nothing. No page objects. No driver configuration. No wait logic to tune. On every run it re-explores and re-learns the app, so coverage tracks the live product rather than a stale recording.

Because the agent works from behavior instead of selectors, a renamed button or shifted layout doesn't break the run. It adapts to the change and keeps testing. This is the core difference from scripted frameworks, where a single changed element can invalidate a whole suite and cost an afternoon to patch. No re-recording. No selector hunting.

Manta builds a map of the app as it explores. The map shows the pages and paths the crawler can reach. It's a useful side effect of crawling: you get a rough inventory of your product's surface area without documenting it by hand. For teams inheriting an unfamiliar codebase, that map alone can save time.

When the agent finds a problem, it hands back a report with a screenshot and the steps that led there. That's a lot more useful than a raw stack trace, because anyone on the team can read it and reproduce the issue without digging through logs. It shortens the gap between finding a bug and understanding it. That gap matters more than people admit.

Rather than re-testing the entire app on every pass, Manta can diff runs and focus on what's different. That keeps runs leaner and makes changed areas stand out. It's a sensible default for teams that ship small, frequent updates. The logic is simple. Test less where nothing moved.

The agent watches for visual changes that signal something went wrong, not just broken links or thrown errors. A missing payment button or a section that stopped rendering shows up as a visual difference, which catches a class of problems that functional checks miss. Easy to overlook, hard to miss once it's flagged.

Manta handles logged-in flows through email and password, magic link, and Google sign-in. For apps that aren't publicly reachable, the Manta Runner extends testing into private and staging environments. Organizations, projects, and team access round out the workspace side.