Appium drives your app. agent-qa understands it — and remembers every run.
Appium is the standard for programmatic mobile automation, with the setup complexity to match. agent-qa makes mobile E2E a plain-English YAML file that runs on Android and iOS and gets smarter each run.
Try agent-qa, the open-source path to mobile E2E that learns your app run over run.
agent-qa vs Appium
| Capability | agent-qa | Appium | Details |
|---|---|---|---|
| Plain-English authoring | Appium tests are WebDriver code with platform-specific locator strategies. agent-qa tests describe the user journey in natural language. | ||
| Survives UI changes | Accessibility-ID and XPath locators break with app updates. agent-qa re-plans from intent and records the app's new behavior in memory. | ||
| Execution memory | agent-qa's file-backed memory accumulates app-specific behavior; Appium sessions start cold every time. | ||
| Open source | Both are open source and free to run. | ||
| Setup complexity | Appium setup spans drivers, capabilities, and platform toolchains. agent-qa initializes a workspace with npx agent-qa init and prepares runtimes from there. 'Yes' means minimal-setup. | ||
| Web testing in the same harness | Appium is mobile-first with some hybrid/web reach. agent-qa covers web and mobile under one YAML contract, one memory store, one CLI. | ||
| Coding-agent native | agent-qa ships MCP tools and Skills so coding agents can author and run mobile tests and triage failures autonomously. | ||
| Local and CI execution | Both run against local devices, emulators, and CI hardware. |
Why mobile teams move from Appium to agent-qa
Mobile E2E without the ceremony
Appium's power comes wrapped in drivers, capabilities, session config, and locator strategies per platform. agent-qa reduces the same outcome — a verified user flow on a real app — to a YAML file and a CLI command.
One suite for the app and the web app
Most products ship both. Appium covers one side; agent-qa covers both with a single authoring format, so your login flow is one test concept, not two codebases.
Runs that learn your app
Mobile UIs change constantly and Appium scripts pay for it release after release. agent-qa's memory records how your app actually behaves — navigation quirks, timing, changed screens — so stability compounds instead of eroding.
Appium proved mobile automation could be open. agent-qa makes it effortless — one English sentence per step, both platforms, and a memory of every run. Keep Appium for device plumbing; give the flows to agent-qa.
Frequently asked questions
Is agent-qa a good Appium alternative?
Yes for user-flow E2E on Android and iOS: agent-qa replaces WebDriver code and locator maintenance with plain-English tests that self-adapt and remember. Appium remains the lower-level choice when you need raw programmatic device control.
What does agent-qa cost compared to Appium?
Both are free and open source. Appium's cost is the specialist time for setup and script upkeep; agent-qa's is LLM tokens on the provider you choose, cut by plan caching on repeat runs.
How do I migrate Appium tests to agent-qa?
Collapse each Appium test class into the journey it verifies and write that journey as an agent-qa YAML test. Platform-specific locator code has no equivalent to port — the runtime derives actions per platform from the same intent.
Does agent-qa work with real devices and emulators like Appium?
Yes — agent-qa runs mobile tests against local and remote devices and emulators, and the quickstart covers preparing mobile runtimes alongside web.
Can agent-qa test both my iOS and Android apps with one test?
That's the model: one plain-English test expresses the flow, and the runtime executes it per platform, with memory and artifacts tracked per target — no duplicated per-platform script trees.
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
test-id: t_slice-cart-bane-deep-fold-prim-paar-baru-nable-kayname: Check Linear issue creation flowtarget: linear-webuse: browser: name: chromiumsteps: - Click on the Create issue icon. - | Verify that the Create issue modal is shown. - | Enter "Fix mobile login" in the "Issue title" input field. - | Select "Engineering" from the Team selector and select "Todo" from the Status field. - Click on the Create issue button. - | Verify that the created issue is shown with title "Fix mobile login" and status "Todo".
Evolves with every run
With 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 memory
Built for Humans
Top-tier developer experience with a beautiful dashboard, intuitive CLI, and clear workflows for authoring, running, and debugging tests.
Learn about the dashboard
Runs
❯ agent-qa run tests/linear/create-issue.yamlRunning 1 test(s)...✓ Click on the Create issue icon. 5s Sub-actions: 1 total (1 succeeded, 0 failed)✓ Verify that the Create issue modal is shown. 4s Sub-actions: 1 total (1 succeeded, 0 failed)✓ Enter "Fix mobile login" in the "Issue title" input field. 5s Sub-actions: 1 total (1 succeeded, 0 failed)✓ Select Engineering from Team and Todo from Status 6s Sub-actions: 2 total (2 succeeded, 0 failed)✓ Click on the Create issue button. 3s Sub-actions: 1 total (1 succeeded, 0 failed)✓ Verify created issue title and Todo status 6s Sub-actions: 2 total (2 succeeded, 0 failed) PASS Check Linear issue creation flow 29sRun ID: r_lined-frig-schema-main-depart-hing-aline-balls-cran-dess Memory: 1 added (3s)Run attributes: agent-qa.trigger=cli agent-qa.runner=localTests: 1 of 1 passedSteps: 6 passed, 6 totalCache: 6 hits, 0 missesTime: 29s
Built for Machines
The 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 MCP
Accelerate runs with smart Cache
The action cache reuses validated plans across similar subsequent test runs, reducing planner work, token usage, and runtime overhead.
Learn about caching
Execution Speed
42s -> 8s
Cached action plans skip redundant planner work on similar subsequent runs.
Reduced Token Usage
fewer planner tokens
Validated steps reuse prior reasoning when the flow and screen state still match.
Run sandboxed hooks during tests
Run 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 hooks
// emits CHECKOUT_EUR_TOTAL_CENTS for the active test runconst response = await fetch("https://api.frankfurter.app/latest?from=USD&to=EUR,GBP")const { rates } = await response.json() const fixture = { plan: "team", currency: "USD", subtotal_cents: 2900, eur_total_cents: Math.round(2900 * rates.EUR), gbp_total_cents: Math.round(2900 * rates.GBP), seat_limit: 12, fixture_at: "2026-05-07T00:00:00Z",} const env = Object.entries(fixture) .map(([key, value]) => `CHECKOUT_${key.toUpperCase()}=${value}`) .join("\n") await Bun.write("/tmp/agent-qa.env", `${env}\n`)console.log(JSON.stringify({ checkoutFixture: fixture }, null, 2))
Review your QA like code
Tests, 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 configuration
Self-healing test execution
When 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-healing
Bring your own LLM
Run 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.
Learn about LLM providers

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