01
The test is written down
Momentic stores each flow as YAML in your repo, so a reviewer sees the steps and the assertions, and a coding agent edits one line instead of re-generating a plan.
Autonoma plans the flows from your repo, then its agents use your app without writing a test file. Momentic writes each flow as YAML, so your team and your agents can read it, change it and gate on it.
Web, iOS and Android · CLI · CI · MCP
How Momentic and Autonoma compare across the dimensions teams evaluate most.
| Category | Momentic | Autonoma |
|---|---|---|
| Licence | Commercial, free tier available | Open source |
| Platforms | Web, iOS and Android | Real browsers and devices, for web, iOS and Android |
| Authoring | Cursor, Claude Code or Codex write the YAML into your repo over MCP | The platform maps your repo and generates a test plan; no test code |
| Where tests live | YAML files in your repo, reviewed in the pull request | No file in your repo. The platform generates the plan and keeps it |
| What a reviewer reads | The YAML diff in the pull request | The agent's run and its result |
| Determinism | The same steps run the same way, with self-healing when the UI moves | Agents navigate the app each run |
| CI | Momentic CLI, non-zero exit code, JUnit XML, sharding | Checks on every pull request, paid in credits. 100K free, then $499 per month |
| Track record | Notion, Retool, Webflow, Xero and Quora | Early stage, open source community |
| Best fit | A suite you own, gate and extend | First coverage from a generated plan |
Autonoma is an open-source testing platform. You connect a GitHub repository, it maps the pages and flows, and it generates a test plan in minutes. Its agents then use the app rather than read the code: they open real browsers and devices, click through the flows, fill the forms and report regressions on every pull request. There is no test code to write. It is open source, so you can host it and read the code, which matters if your policy requires that.
01
Momentic stores each flow as YAML in your repo, so a reviewer sees the steps and the assertions, and a coding agent edits one line instead of re-generating a plan.
02
An agent that explores can reach a different place each run. Momentic runs the steps you approved, heals the locator when the UI moves, and fails the build only when the assertion fails.
03
Notion, Retool, Webflow, Xero and Quora gate releases with Momentic, across thousands of parallel browsers and hundreds of parallel iOS simulators and Android emulators. Quora cut a 7-hour QA pass to 30 minutes. Autonoma is early, and prices that scale in credits.
04
Momentic stores what it used to find each element: where it sat, what it looked like, its text, and the accessibility and structural attributes around it. Repeat runs replay from that cache with no model call, and over 99% of steps finish in under 500ms, so a run stays fast and repeatable as the suite grows.
05
One CLI command runs the suite, shards it across your CI runners, returns JUnit XML and blocks the merge on a non-zero exit code. The New Relic, JSON and JUnit reporters push the same run into the stack you already watch.
06
The result viewer is a static bundle inside the npm package, so you can serve run results from your own host and keep the zips in your own storage. Golden files for visual steps can sit in the repo too. You can host these files without running the testing platform.
07
Momentic resolves each step against a screenshot, the accessibility tree, and the DOM on web or the screen XML on mobile, and infers from the step description which signal matters. 'The Sign in button' resolves from accessibility attributes and text. 'The red Cancel button below the order summary' resolves from position and pixels. An element the screenshot does not show, or two that look alike, still resolves, and AI assertions read the same three sources.
08
The knowledge base holds your terminology, rules for a specific agent and your known flows, and every AI-assisted step retrieves the relevant entries. Memory feeds the agent its own decisions from past runs, so 'the selected tab' resolves the same way this week as it did last week. The suite gets more consistent the longer it runs.
09
Mo takes a target and a brief, plans the test cases, and runs each one in its own hosted browser, simulator or emulator, a hundred or more at once. A suspected bug goes to a reproducer agent that starts from a clean session, and only a reproduced bug reaches the report, with a recording and repro steps. One session ran 116 agents and returned 27 bugs. Autonoma generates a test plan from your repository; Mo starts from the running product, so it also reaches the states no plan listed.
Autonoma explores an app and plans flows without test code. Read the authoring column first. The useful distinction is whether the run leaves a file your team can review and change.
| Tool | Authoring | Runs on | Best fit |
|---|---|---|---|
| Momentic | Plain-English steps as YAML in your repo. Cursor, Claude Code and Codex write them over our MCP server, and the CLI runs them | Web, iOS and Android; cloud browsers, simulators and emulators | The suite lives in the repo and gates CI, with no framework to maintain |
| Autonoma | Open source. The platform plans the flows from your repo, and its agents use the app, so there is no test file to review | Real browsers and devices, for web, iOS and Android | Open-source first coverage, if a generated plan is enough |
| Ranger | Scenarios through their CLI. An approved feature becomes a test inside the Ranger suite, which they host | Browsers only; hundreds in parallel on demand | Verifying a browser feature your coding agent just wrote |
| Autosana | Natural-language flows in their dashboard. You can opt a repo in to files, and the sync copies them on the default branch only | iOS, Android, mobile web and desktop web; local and cloud runs | Small teams who want the agent to close the loop |
| Playwright | Code: TypeScript, Python, Java or C# | Chromium, Firefox and WebKit; your runners | Engineers who want full control and accept selector upkeep |
| Maestro | YAML flows | Simulators, emulators and devices; local or Maestro Cloud | Mobile teams who want readable flows and a fast local loop |
| Appium | Code, on the WebDriver protocol | iOS and Android, simulators, emulators and devices | Selenium teams extending the same protocol to mobile |
| QA Wolf | Their engineers write and maintain Playwright tests for you | Web and mobile web; their infrastructure | Teams with no QA and no capacity to author |
| mabl | Low-code recorder aimed at non-technical authors | Web and mobile web; vendor cloud | Authoring leaves engineering, and the tests leave your repo |
| BrowserStack | Bring your own Playwright, Selenium or Cypress tests | Real browsers and real devices; vendor cloud | Buying browser and device coverage, not authoring |
Choose Momentic
Choose Momentic if the flow should be written down, reviewed in Git and used as the merge gate, and if repeat runs cost no model calls.
Choose Autonoma
Choose Autonoma if you must host the platform yourself, or if you want first coverage from a generated plan with no test files to write.
Trusted by teams who made the switch.
“Momentic gave us a fast and reliable way to validate Poe.com's AI responses, even when they weren't deterministic.”
30 min
daily test execution, down from 7 hours
500+
manual test cases replaced
100%
critical tests created in one month
Yes. That is its clearest advantage, and it matters if you must host and inspect the tool yourself.
No code. You write plain-English steps, or your coding agent writes them for you over MCP. They are stored as YAML in your repo.
A reviewer reads the diff, CI runs the same steps every time, and your coding agent edits one step instead of regenerating a plan.
Yes. Autonoma covers web, iOS and Android on real browsers and devices. Momentic covers the same three platforms from one suite, on hosted browsers, simulators and emulators. The difference is the file. Momentic steps are YAML in your repo, so the test is version controlled and reviewed in a pull request before it gates the merge.
Locators heal as the UI changes. Momentic re-resolves the element from the rendered screen, so a rename does not fail the build.
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