Your AI QA engineer, with memory. Describe a user journey in plain language. agent-qa tests it on web, Android or iOS and keeps the evidence. Use the CLI, the dashboard, or your coding agent through MCP and skills.

• memidex: remembers facts and working procedures as reviewable files in your repository.
• Self-improvement: validates lessons from runs, retires stale knowledge, and uses your feedback to correct mistakes.

| Benchmark | Rank | Published result | | --- | --- | --- | | AndroidWorld | #1 | 100% pass@1 (116/116 tasks) | | AppControlBench | #1 | 99.6% completion (114.5/115 points) |

Read the full benchmark reports, with run evidence and methodology, on our blog. Both used gpt-6-sol with memory and self-improvement off; AppControlBench gives half credit for partial completion.

See it in action

Inspect a failure. The demo catches a cart showing $29 instead of $53, with the failed step and its screenshot side by side.

See what memory contributed. Inspect the knowledge supplied to a run and trace it back to the steps that used it.

Run from your terminal. Real output from the demo suite: checkout passes; the deliberate cart-total bug fails.

Get started

Requires Node.js 24+.

npm install -D agent-qa
npx agent-qa init

Follow the quickstart to connect a model and run the demo, or set up with your coding agent.

[!NOTE] Early stage. Expect bugs. Report an issue when something breaks.

License

Functional Source License (FSL-1.1-ALv2).