Write tests in natural language
Define actions and assertions in human language while agents work from visible roles, labels, and screen state.
Learn about natural language tests
Open-source AI end-to-end testing for web and mobile apps.
Write tests in natural language. agent-qa runs them in an agentic test runtime that builds execution memory from every run, so teams and coding agents catch regressions before releases ship.
Define actions and assertions in human language while agents work from visible roles, labels, and screen state.
Learn about natural language testsWith every test run, agent-qa builds execution memory from product, suite, and test observations, then adds that context to future runs. agent-qa also curates memory from steps that were healed during execution, helping future runs avoid the same mistake.
Learn about memoryTop-tier developer experience with a beautiful dashboard, intuitive CLI, and clear workflows for authoring, running, and debugging tests.
Learn about the dashboardThe same primitives are exposed through MCP and skills so coding agents can discover schemas, author YAML, enqueue runs, inspect artifacts, and triage failures.
Learn about MCPThe action cache reuses validated plans across similar subsequent test runs, reducing planner work, token usage, and runtime overhead.
Learn about cachingRun Node, Bun, Python, or Bash hooks in isolated Docker containers to set up environments, call APIs, seed fixtures, tear down state, or pass structured outputs back into the active test run.
Learn about hooksTests, configs, hooks, memory, and suite logic all live as version-controlled code, so every change can be diffed, reviewed, reused, and shared across teams.
Learn about configurationWhen any sub-action, such as click, fill, or select, fails, agent-qa re-observes the UI and tries a different path in the same run. Tests recover from UI drift and flaky interactions instead of failing on the first broken action.
Learn about self-healingRun tests with the model of your choice via OpenAI- and Anthropic-compatible endpoints, Gemini, local or open-source models, and subscriptions like Codex and Claude Code.
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