---
title: "Momentic vs Autosana"
description: "Compare Momentic and Autosana: two agent-native E2E platforms for web and mobile. Step speed, what the agent sees, the run model, Mo, and who already gates merges with each."
canonical: "https://momentic.ai/comparison/momentic-vs-autosana"
last-updated: "2026-09-13T12:56:02-07:00"
---

# Momentic vs Autosana

URL: https://momentic.ai/comparison/momentic-vs-autosana

comparison   / momentic-vs-autosana

Autosana and Momentic write plain-language tests and onboard coding agents over MCP. Momentic adds cached steps under 500ms, merge-gating at Notion and Quora, and Mo, which finds bugs no test covers.

[Try for free](https://app.momentic.ai/signup) [Get a demo](/sales)

Web, iOS and Android · CLI · CI · MCP

## At a glance.

How Momentic and Autosana compare across the dimensions teams evaluate most.

| Category | Momentic | Autosana |
| --- | --- | --- |
| Approach | Agent-native, plain-English steps, with AI actions for the flows you cannot script | Agent-native, natural-language flows, vision based |
| What the agent sees | A screenshot, the accessibility tree, and the DOM on web or the screen XML on mobile | A screenshot; Autosana describes itself as vision based |
| Step speed | Cached steps replay with no model call; over 99% finish in under 500ms | No published benchmark |
| Product context | Knowledge base holds your terms, agent rules and flows; Memory replays past AI decisions | Per-flow variables and hooks |
| Exploratory QA | Mo explores the app, reproduces each bug in a clean session and files it | Flows generated from your code diffs |
| Platforms | Web, iOS and Android | iOS, Android, mobile web and desktop web |
| Authoring | Cursor, Claude Code or Codex write the YAML into your repo over MCP; the CLI runs it | Natural-language flows, created from code diffs, onboarded over MCP |
| Where tests live | YAML files in your repo | Their dashboard, unless you opt that repo in to files. Environment variable values stay with them either way |
| From commit to run | The YAML in your working copy is the test, and the CLI runs it on any branch | A GitHub sync copies the files into their platform, on the default branch only |
| Execution | Momentic runs locally and in CI: exit code, JUnit XML, sharding, a video of every failed run and a status comment on the pull request | Their cloud, or a local run with their Python CLI, with video proof in the pull request |
| Scale | Thousands of parallel browsers, hundreds of parallel simulators and emulators | Cloud runs, scale not published |
| Track record | Notion, Retool, Webflow, Xero and Quora run on Momentic | Y Combinator, early stage |
| Best fit | Teams that need one suite to gate every merge at scale | Small teams that want the agent to close the loop |

## What Autosana does

Autosana writes natural-language flows for iOS, Android, mobile web, and desktop web. It drives the app by vision, creates flows from code diffs, syncs files through GitHub, onboards over MCP, and loops with your coding agent locally.

Pull requests run cloud agents and attach video. Its language covers taps, swipes, pinch, long press, deeplinks, locale, location, variables, and hooks.

In code-managed mode, the repo is the source of truth, the flow is read-only in the dashboard, and the CLI validates YAML before you push. You enable the mode per repo. Sync runs on pushes to the default branch: pull requests preview suite files, not hook files, and forks show no preview.

## Where Momentic differs.

01

### Proven at enterprise scale

Notion, Retool, Webflow, Xero, and Quora gate releases with Momentic. Quora cut a 7-hour QA pass to 30 minutes. Momentic runs thousands of browsers and hundreds of iOS simulators and Android emulators; Autosana is early and publishes no parallel limit.

02

### Cached steps finish in under 500ms

Momentic caches target signals after the first run. Cached clicks average 250ms, type steps 340ms, and over 99% of steps finish under 500ms. Screenshot-reading agents pay a model call every step.

03

### The step sees more than a screenshot

Momentic resolves each step against a screenshot, the accessibility tree, and the DOM on web or the screen XML on mobile, and infers which signal matters. An element the screenshot hides, or two that look alike, still resolves. AI assertions read the same three sources.

04

### AI actions for the flow you cannot script

An AI action takes a goal and chooses clicks at run time. Momentic caches resolved steps after the first pass, replays them next run, and records a branch when the UI differs. Preset steps stay deterministic; use AI actions where flows change.

05

### Your coding agent loops over MCP too

Momentic MCP lets Cursor, Claude Code, and Codex write tests, run, read evidence, fix code. momentic-maintain reads bug, intended-change, test-issue, or infrastructure, then repairs or returns it. It leaves CI YAML, failed-run video, and a GitHub App comment.

06

### The agents learn your product

Momentic keeps a Knowledge base of your terminology, your rules for agents, and your known flows, and Memory keeps the decisions from past runs. Every AI step retrieves the relevant entries, so a new session starts with product context.

07

### Mo finds the bugs no test covers yet

Mo takes a target and a brief, plans the cases, and runs each one in its own hosted browser, simulator, or emulator. A reproducer agent retries a suspected bug from a clean session, so only a reproduced bug reaches the report. One session ran 116 agents and returned 27 bugs. Autosana follows the code diff; Mo covers flows it misses.

08

### No sync step between the commit and the run

Autosana syncs files to its service on the default branch. Pull requests preview suite files, and one invalid file blocks the repo. Momentic has no sync: the CLI reads current-branch YAML, returns an exit code, and emits JUnit XML.

09

### The run recovers, and a real failure comes back classified

Momentic re-resolves moved targets, retries transient failures, and writes repairs to the test file. Persistent failures return a category, reasoning, and triage action: bug, intended change, test issue, or infrastructure problem.

## Ten ways to test web and mobile.

Autosana is close to Momentic, so start with the authoring column. The way an agent writes a test, what it reads on each step, and where that file runs shape the rest of the suite.

| 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 |
| 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 |
| MobileBoost (GPT Driver) | Their platform holds each test as a record. You change it through their REST API, or record it in their no-code editor | iOS and Android; simulators and real devices, 100+ in parallel | Mobile-only teams who need simulator features nobody else exposes |
| 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 |
| 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 |
| mabl | Low-code recorder aimed at non-technical authors | Web and mobile web; vendor cloud | Authoring leaves engineering, and the tests leave your repo |
| testRigor | Plain-English scripts in a vendor web app | Web and mobile; vendor cloud | Teams who accept tests living outside version control |
| QA Wolf | Their engineers write your Playwright tests | Web and mobile web; their infrastructure | Buying coverage as a service instead of hiring |

## Who should choose which.

Choose Momentic

Choose Momentic if the suite gates every merge, as at Notion, Retool, Webflow, Xero, and Quora. Cached steps finish under 500ms, agents read the Knowledge base, and Mo tests flows no test covers.

[Try for free](https://app.momentic.ai/signup)

Choose Autosana

Choose Autosana if you need Firefox or Edge coverage today, or if you want flows generated straight from your code diffs.

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.”

Momoko F.   Head of Product Operations, Quora

30 min

daily test execution, down from 7 hours

500+

manual test cases replaced

100%

critical tests created in one month

[30 min   daily test execution, down from 7 hours   "Momentic gave us a fast and reliable way to validate Poe.com's AI responses, even when they weren't deterministic."  Momoko F. Head of Product Operations, Quora](/customers/quora)

[8x   increase in release cadence   "It's like giving someone your QA checklist and watching them execute it for you!"  Sriram S. Engineering Lead, Source Control, Retool](/customers/retool)

[80%   faster release cycles   "With Momentic, we've caught bugs that would have eluded even our most diligent internal tests."  Alex C. CTO, GPTZero](/customers/gptzero)

[6x   faster end-to-end test creation   "We've already seen a 30% decrease in production incidents thanks to Momentic's automated testing."  Hanna K. Head of QA, CoverGo](/customers/covergo)

[85%   reduction in production incidents   "Momentic gives us reliable end-to-end coverage, so we can focus on features instead of maintaining tests."  Alec H. Staff AI Engineer, Mutiny](/customers/mutiny)

[Browse all](/customers)

Related comparisons

[Momentic vs MobileBoost](/comparison/momentic-vs-mobileboost)[Momentic vs Playwright](/comparison/momentic-vs-playwright)

## Frequently asked questions.

Are Momentic and Autosana the same idea?    They are close. Both use plain-language tests, repository files, and MCP for coding agents. They differ in step context, cached speed, Knowledge base and Memory, Mo coverage, and the teams already gating merges.    How fast is a Momentic test?    Momentic runs about as fast as the replaced Playwright script. Cached steps need no model call; over 99% finish under 500ms. The login benchmark was 52ms slower than Playwright. AI-assisted first runs take 4 to 8 seconds, once.    What does Momentic look at when it runs a step?    A screenshot, the accessibility tree, and the DOM on web or the screen XML on mobile. AI assertions read all three, so a check on a GenAI feature with no fixed output still resolves. Autosana describes itself as vision based.    Does Momentic do exploratory testing?    Yes, with Mo. Mo plans cases from a target and brief, runs hosted browsers, simulators, or emulators together, and reports bugs a separate agent reproduced from clean sessions. Momentic tests merge flows; Mo tests flows without written tests.    Does Autosana keep tests in my repo?    Yes. Autosana's code-managed mode syncs files to the default branch. Momentic has no sync: YAML in your working copy is the test, and the CLI runs it on any branch, locally or in CI.    Which one covers more browsers?    Autosana lists Chrome, Firefox, Edge and Chromium. Momentic runs Chromium and Chrome today, with Safari and Firefox on the roadmap. If a Firefox gate decides your choice, say so early.    Which one is better for mobile?    Both test iOS and Android. Momentic adds hosted simulators and emulators at high parallel counts, which matters when a full regression must finish inside a release window.    Can I try both?    Yes. Momentic has a free tier and pay-as-you-go from $125 per month, so you can run the same flow in both and compare the reports.

Still have additional questions?

## Close the feedback loop.

Run the same suite locally, in CI and across hundreds of browsers.

[Try for free](https://app.momentic.ai/signup) [Get a demo](/sales)
