Momentic Mo
Momentic · Momentic Mo: AI QA Agent for Script-Free Web and Mobile Testing
Mo is Momentic's AI QA agent. You give it a URL or an app build and a short brief, and it explores the app with many agents in parallel, reproduces the bugs it finds, and files them with recordings and repro steps. It suits product teams that ship often and have little or no dedicated QA.
Best for
Product and engineering teams that ship frequently, often with AI-assisted development, and want exploratory and regression QA on web, iOS, and Android without writing or maintaining test scripts
Not ideal for
Teams that need testing on physical mobile devices, organizations that need a fixed and predictable QA budget, and anyone who wants a self-hosted or open-source testing agent
Who it's for
Engineering, product, and QA teams at startups and enterprises that ship web and mobile apps frequently
Capabilities
- Bug bashes with many agents exploring one app in parallel (a hundred or more, up to your plan limit)
- Tests web apps at any URL the hosted browsers can reach, or a local build through a tunnel
- Tests uploaded iOS builds on Momentic-hosted simulators and Android builds on hosted emulators
- Separate reproducer agent re-checks each suspected bug from a clean browser with no state or fixtures
- Bug reports with recordings and reproduction steps, filed as they are found
- Files accepted bugs to Jira or Linear and syncs test cases to TestRail, Qase, or Testiny
- Web composer for launching sessions and a `qa` CLI (`qa start`, `qa status`, `qa report`) for scripting
- `qa report` exports report, bug, test case, verdict, and triage JSON files plus one recording per bug
- Cron-scheduled regression passes and pull-request-scoped sessions through the Momentic GitHub App
- Knowledge base of your terminology, agent rules, and known flows
- Signs in with test credentials you provide, including one-time codes and MFA, and keeps credentials inside the session
Limitations
- Usage-based credit billing (agent runtime, hosted browser or device minutes, and inference) makes large sessions harder to budget than a flat seat price
- Mobile tests run on hosted iOS simulators and Android emulators only. Physical devices are not supported
- One session tests one target, so web, iOS, and Android need separate sessions
- Tunneling to local web apps is in alpha
- Report delivery by Slack or email and sharing a report by public URL are not available yet
- Production testing requires you to set boundaries in the brief
- Mo is proprietary and cloud-hosted. The public momentic-ai/qa repository holds only the CLI's README and changelog, and the CLI needs a Momentic account
- Newly launched in September 2026, so there is little independent track record yet. The CLI README still describes Mo as in beta, while the product page says it is live
Use cases
- Running a bug bash on a staging URL before a release
- Scheduling a nightly regression pass with cron and sending accepted bugs to Linear
- Scoping a session to a pull request so reviewers see what broke before merging
- Testing a new iOS or Android build on hosted simulators and emulators without writing test scripts
- Exporting the test cases Mo generated into TestRail or Qase to seed a formal test suite
Our take
Mo targets a gap most coding agents leave open: checking the running product rather than the code. Parallel exploration and a separate reproducer agent are a sensible design for a job where false positives waste as much time as missed bugs, and filing straight into Jira or Linear keeps it inside existing workflows. The open questions are cost and coverage. Credit billing across runtime, device minutes, and inference means teams should run a few sessions before committing it to every pull request, and teams that rely on real-device testing will still need another tool.
Who should use it
Teams shipping web or mobile apps quickly without a dedicated QA function, teams whose AI-assisted development has outpaced their test suite, and QA leads who want exploratory coverage between scripted test runs.
Who should skip it
Teams that must test on physical devices, organizations that need open-source or self-hosted tooling, and teams on tight fixed budgets that cannot absorb variable usage costs.
Strengths
- No test scripts to write or maintain: a URL or build plus a brief is enough to start
- Covers web, iOS simulators, and Android emulators in one product
- Separate reproducer agent is designed to cut false positives
- Files bugs to Jira or Linear with recordings and repro steps
- CLI, cron scheduling, and GitHub App support fit into CI
Weaknesses
- Usage-based credits can be hard to predict for large or frequent sessions
- No physical device testing
- Proprietary and cloud-only
- Tunneling to local apps is still in alpha
Momentic Mo pricing
Mo starter credits
$250 in credits
Billed one-time
- Credits for new Mo users
- Billed against agent runtime, hosted browser or device minutes, and inference
Pay-as-you-go
$125
Billed monthly
- 10,000 credits/month
- Extra credits at $0.01875 each, no hard cap
- 5 Android + 5 iOS concurrent mobile devices
Enterprise
Custom
- Custom pricing
- 1-hour mobile sessions and higher API rate limits
- SAML SSO, SCIM, audit log, priority support and SLA
Note: Mo uses the same usage-based credits as the rest of Momentic. Momentic also offers a $0 Free plan with 2,000 credits/month for its test platform, but the Mo page does not say whether Mo sessions run on it. The pricing page lists hosted browser time at 1 credit/min and hosted Android emulator or iOS simulator time at 8 or 15 credits/min, and Momentic says Mo inference is billed at cost. No separate agent-runtime rate is published.
Technical specs
Modalities
Web (Chromium), iOS simulators, Android emulators
Where Momentic Mo excels
Pre-release bug bash
Many agents explore a staging build in parallel, and only bugs a separate agent can reproduce get filed, with recordings attached.
Pull request QA in CI
The Momentic GitHub App scopes a session to a pull request, so regressions surface before the change merges.
Mobile regression without device labs
Uploaded iOS and Android builds run on hosted simulators and emulators, so a team does not need to maintain its own device setup.
Frequently asked questions
What is Momentic Mo?
Mo is an AI QA agent from Momentic. It tests a running web, iOS, or Android app by sending many agents through its flows, re-checks suspected bugs with a separate reproducer agent, and files confirmed bugs with recordings and reproduction steps.
Do I need to write tests to use Mo?
No. Momentic describes Mo as QA with no test files and no repo changes. You provide a URL or build and a brief. Mo can also generate test cases and sync them to TestRail, Qase, or Testiny.
How much does Momentic Mo cost?
Mo uses the same usage-based credits as the rest of Momentic, billed for active agent runtime, hosted browser or simulator minutes, and inference. New users get $250 in Mo credits. Momentic's Pay-as-you-go plan is $125/month with 10,000 credits and $0.01875 per extra credit, and Enterprise is custom.
Can Mo test mobile apps?
Yes. Mo tests uploaded iOS builds on Momentic-hosted simulators and uploaded Android builds on hosted emulators. Physical devices are not supported.
Can Mo test apps that are not public?
Yes, for web apps. A tunnel (`qa tunnel`, currently in alpha) or the Connector image lets Mo reach local or private URLs.
Integrations & fit
About Momentic Mo
Momentic started as an end-to-end testing platform where you write tests in plain English and let AI keep them up to date. Mo, announced on September 28, 2026, is a separate product that skips test files entirely. You point it at a web URL, an uploaded iOS build, or an uploaded Android build and describe what matters. Mo then runs a bug bash across Momentic-hosted browsers, iOS simulators, and Android emulators, with many agents exploring flows at the same time (a hundred or more, up to your plan limit). When an agent suspects a bug, a separate reproducer agent retries it from a clean browser with no state or fixtures, which is how Momentic tries to keep false positives down. Confirmed bugs are filed with recordings and reproduction steps, and can go straight to Jira or Linear, while generated test cases can sync to TestRail, Qase, or Testiny. You can start sessions from a web composer or from the `qa` CLI, schedule regression passes on cron, and scope a session to a pull request through the Momentic GitHub App. Local and private web apps are reachable through a tunnel (in alpha) or a Connector image, and Mo can sign in with test credentials you provide, including one-time codes and MFA. Unlike the coding agents in this directory, which write and edit code, Mo checks the running product the way a manual tester would. The tradeoffs are cost predictability and coverage. Billing is usage-based credits for agent runtime, hosted browser or device minutes, and inference, so a large bug bash is harder to budget than a fixed seat. Mobile testing runs only on hosted simulators and emulators, not physical devices. And one session tests one target, so covering web, iOS, and Android takes three sessions.
Updates from Momentic Mo
Momentic announced Mo, an AI QA agent that explores web and mobile apps with parallel agents and files the bugs it can reproduce, with no test scripts to write.
Are you the founder? Claim this listing →