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 open-source QA agent where mobile flows compound into memory.

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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.
Open source			Both have open-source cores; Maestro pairs with a paid cloud for scaled execution. agent-qa's 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?

Both cores are free and open source; Maestro monetizes scaled cloud execution while agent-qa has no paid tier at all. 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.

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

tests/linear/create-issue.yaml

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".

Check Linear issue creation flow

Step 1 of 65.0s
Click on the Create issue icon.
#1click4.8s
Step 2 of 64.1s
Verify that the Create issue modal is shown.
#1assert4.0s
Step 3 of 65.3s
Enter "Fix mobile login" in the "Issue title" input field.
#1fill5.1s
Step 4 of 66.2s
Select "Engineering" from the Team selector and select "Todo" from the Status field.
#1select3.0s
#2select3.0s
Step 5 of 63.4s
Click on the Create issue button.
#1click3.2s
Step 6 of 65.8s
Verify that the created issue is shown with title "Fix mobile login" and status "Todo".
#1assert5.6s

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

Memory - Notion

obs_ria-gue-cake-long-elf-wag-time-quad-profit-alf

Workspace navigation contract

trust 0.91|confirmed 6 times

last confirmed today

Sidebar groups stay visible after switching between Docs, Projects, Calendar, and Settings. Future runs should verify the workspace switcher, command palette, and primary navigation labels before attempting deeper page assertions. This prevents the agent from rediscovering the navigation model on every run and keeps later assertions focused on the actual page behavior.

obs_mara-scope-desk-calm-page-search-index-round-quiet-latch

Command palette search context

trust 0.87|confirmed 5 times

last confirmed yesterday

The command palette returns workspace-scoped results first, then recent pages. Repeated tests should search for stable page titles and avoid assuming that the first result is the same across seeded workspaces. When the palette already contains recent pages, the agent should filter by exact title text before selecting the result.

obs_motif-page-toolbar-active-editor-share-comment-menu-state

Page toolbar persistence

trust 0.83|confirmed 4 times

last confirmed today

The page toolbar appears only after the editor area is active. Future runs should click into the page body before asserting Share, Comments, and More actions. This memory keeps the planner from treating a hidden toolbar as a failure when the page is simply idle.

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

agent-qa dashboard

Runs

AllRunningQueuedCompletedFailed

StatusTest NameTargetDuration

PassedCheck Linear issue creation flowlinear-web (Web)29s

PassedGitHub release fixture smokegithub-web (Web)41s

FailedSentry issue triage regressionsentry-web (Web)1m 12s

PassedSupabase project smoke testsupabase-web (Web)38s

agent-qa CLI

❯ 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

CLI

MCP

SKILLS

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

hooks - prepare-checkout.ts

// 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

review - tests/supabase/project-smoke.yaml

diff --git a/tests/supabase/project-smoke.yaml b/tests/supabase/project-smoke.yaml
index 4a31d1f..6af40cd 100644
--- a/tests/supabase/project-smoke.yaml
+++ b/tests/supabase/project-smoke.yaml
@@ -4,8 +4,9 @@
 test-id: t_lumen-rail-civic-model-pager-slate-harbor-fable-drift
 name: Supabase project smoke test
 target: supabase-staging
 steps:
   - Open the Supabase dashboard
-  - Verify the project status reads "Healthy"
-  - Open API settings and verify the project URL is displayed
+  - Open Project Settings > API
+  - Verify the Project URL matches $SUPABASE_PROJECT_URL
+  - Verify the anon key remains masked before copy

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

healed run - tests/table/create-row.yaml

Step 11 of 20

Add column "story_name" with type text in the create-table form.

#1click3.9s

#2fill2.8s

#3click3.9s

#4tapCoordinate8.8s

#5click4.6s

#6select6s

#7click4.4s

#8click11.7s

#9keypress13.4s

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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