Maestro made mobile flows simple. agent-qa makes them learn.
Maestro popularized YAML-declared mobile UI flows with static commands. agent-qa keeps the YAML ergonomics but replaces static commands with AI-executed intent, plus web support and memory.
Try agent-qa, the source-available QA agent where mobile flows compound into memory.
agent-qa vs Maestro
| Capability | agent-qa | Maestro | Details |
|---|---|---|---|
| YAML-based authoring | Both use YAML. Maestro's YAML lists UI commands (tapOn, assertVisible); agent-qa's YAML states user intent in plain English that the runtime plans against the live app. | ||
| Survives UI changes | Maestro's text/ID matching tolerates small shifts but static commands still break on real redesigns. agent-qa re-plans the whole step from intent. | ||
| Execution memory | agent-qa records behavioral observations across runs; Maestro flows execute the same commands cold each time. | ||
| Source access | Maestro is open source and pairs with a paid cloud for scaled execution. agent-qa is source available under FSL-1.1-ALv2, and its full workflow stays repo-local. | ||
| Web testing in the same harness | Maestro is mobile-first with some web support. agent-qa treats web and mobile as equal targets under one contract. | ||
| Coding-agent native | agent-qa ships MCP tools, Skills, and structured evidence for autonomous agents; Maestro is operated by humans and CI scripts. | ||
| Bring your own LLM | agent-qa's planning runs on the model provider you configure. Maestro's core doesn't use LLM planning. | ||
| Local and CI execution | Both run locally and in CI without mandatory cloud services. |
Why Maestro users graduate to agent-qa
Intent beats commands
Maestro's tapOn and assertVisible commands are simpler than code, but they still encode a fixed UI. agent-qa's steps say what the user is doing, 'add the item to the cart and check out', and the runtime works out the taps on whatever the screen looks like today.
The same YAML instinct, more leverage
If your team already thinks in Maestro YAML, agent-qa feels native on day one, the file just says more with less, covers web too, and every run feeds memory and cache instead of evaporating.
No cloud dependency for scale
Maestro's scaled execution story leads to its paid cloud. agent-qa's runs, artifacts, memory, and dashboard are local and CI-native, scale is your infrastructure decision, not a subscription tier.
Maestro proved YAML flows are the right ergonomics for mobile testing. agent-qa keeps the ergonomics and upgrades the engine: intent instead of commands, memory instead of amnesia, and web included.
Frequently asked questions
Is agent-qa a good Maestro alternative?
Yes. It's the natural next step. You keep YAML-declared flows and gain AI execution that survives redesigns, memory that compounds across runs, first-class web support, and MCP/Skills integration for coding agents.
What does agent-qa cost compared to Maestro?
Maestro is free and open source, and monetizes scaled cloud execution. agent-qa is source available under FSL-1.1-ALv2 with no paid tier or license fee for FSL-permitted use. agent-qa's operating cost is LLM tokens on your chosen provider, moderated by caching.
How do I migrate Maestro flows to agent-qa?
It's the friendliest migration on this site: your Maestro YAML already names each flow's steps, so rewriting command sequences as plain-English intent is nearly mechanical, and the result is shorter than what it replaces.
Does agent-qa support Android and iOS like Maestro?
Yes, native flows on both platforms, plus web, all under the same YAML contract, memory store, and CLI.
Why does memory matter for mobile testing?
Mobile apps change UI constantly and devices add timing variance. agent-qa's memory records how your app actually behaves, screens, quirks, flows, so subsequent runs plan faster and flake less, which static command flows can never do.
Sources
This page is based on public product and documentation sources. Verify current features and pricing with each vendor before making a purchase decision.
Where agent-qa pulls ahead of Maestro
The parts of agent-qa that answer what Maestro leaves you carrying.
Natural-language tests
Write actions and assertions in plain English; agent-qa resolves them against the live interface.
Learn about natural language testsPlain-English YAML
Describe the behavior once; it stays as reviewable YAML in your repository.
Learn moreExecution memory
Turn successful runs into reviewable, evidence-backed memory that makes every future run faster.
Learn about memoryProven before it is used
New knowledge must pass replay and live evidence before guiding a run.
Learn moreFaster warm runs
Reuse proven flows and supersede stale facts instead of rediscovering them.
Learn moreA run leaves evidence
Elements that resolved, a flow that worked, and timings that are real, all attached to the steps that produced them.
Web, Android, and iOS
Run the same natural-language flow across web, Android, and iOS with Playwright or Appium.
Learn about mobile testingFour products, four platforms
Each row names its own target, and a target is what decides where a test runs. This one names a web target, so it carries a URL.
Self-healing execution
When an action fails, agent-qa re-observes the screen and finds another route to the same outcome.
Learn about self-healingRefund the $128.00 payment to the customer.
order #4417
Timeline
A step, and the screen it runs on
A payment for order #4417, and a step that asks for it to go back. Nothing about the screen is unusual and the control it needs is where it should be.
* This comparison is based on publicly available information. Product capabilities and pricing can change; verify details with each vendor before making a purchase decision.