Momentic GitHub Integration: Actions, Checks and PR Workflow
Part of Testing Tools with GitHub Integrations · Full Momentic profile
This view shows the accepted facts for this property. Editorial guidance for it has not been approved yet, so the page is not indexed.
Overview
Momentic is a commercial AI testing platform for authoring and running end-to-end tests described in natural language.
GitHub
Limitations
No limitations recorded for this property.
Pricing
Free
Not yet verified · Official pricing page
Other tools in Testing Tools with GitHub Integrations
Sources
- 1AI Testing Platform: 117k Bugs Caught | Momentic · Official website · Momentic · retrieved 2026-09-26
Supports 10 claims · Vendor documented, high confidence · verified 2026-09-26
- Certifications
- Product kind
- Product status
- RBAC
- SSO (SAML)
- Summary
- Support channels
- Support SLA
- Tool
- Vendor
Title: SOC 2 Type 2
Heading: The agentic quality platform.
Title: AI Testing Platform: 117k Bugs Caught | Momentic
Title: Priority support | Documentation Index: Documentation Index
Title: 99.99% uptime SLA
- 2Web commands - Momentic · Official docs · Momentic · retrieved 2026-09-26
Supports 13 claims · Vendor documented, high confidence · verified 2026-09-26
- Accessibility checks
- API assertions
- Debug artifacts
- File upload testing
- Network logs
- Network mocking
- Screenshots
- Selector-free execution
- Semantic visual assertions
- Targets
- Testing types
- Vision-based interaction
- Visual regression
Web commands: assert | Run an AI assertion against the DOM, accessibility tree, and screenshot. | Web commands: recordRequests | Start recording every request that matches a URL pattern. | Documentation Index: Results Runs, videos, traces, and local reports
Web commands: Web commands | Mobile: Mobile
Web commands: Run an AI assertion against the DOM, accessibility tree, and screenshot.
- 3How Momentic works - Momentic · Official docs · Momentic · retrieved 2026-09-26
Supports 11 claims · Vendor documented, high confidence · verified 2026-09-26
- AI executes the app
- AI generates code only
- Audience
- Authoring method
- Code authoring
- Deployment
- Languages
- Natural language authoring
- Parameterized tests
- Reusable steps
- Uses AI
Run locally and in CI: repeatable verification after a change leaves a developer’s machine.
How Momentic works: Momentic tests combine exact, reviewable steps with goal-driven AI execution in one YAML file.
Run locally and in CI: A test provides immediate feedback during development and repeatable verification after a change leaves a developer’s machine.
How Momentic works: Momentic tests combine exact, reviewable steps with goal-driven AI execution in one YAML file. | Code integration: JavaScript steps run custom code in a sandboxed Node environment
- 4Pricing | Momentic · Official pricing · Momentic · retrieved 2026-09-26
Supports 8 claims · Vendor documented, high confidence · verified 2026-09-26
- Company size
- Configurable retention
- Free tier
- License
- License identifiers
- Pricing
- Pricing models
- Trial
Pricing: Enterprise
Pricing: Free
Pricing: Pay-as-you-go
- 5GitHub Actions - Momentic · Official docs · Momentic · retrieved 2026-09-26
Supports 6 claims · Vendor documented, high confidence · verified 2026-09-26
- CI execution
- GitHub
- GitHub PR checks
- Integrations
- Merge gating
- Use cases
GitHub Actions: GitHub Actions
GitHub Actions: Gate a pull request from a coding agent
- 6Run from the command line - Momentic · Official docs · Momentic · retrieved 2026-09-26
Supports 9 claims, high confidence · verified 2026-09-26
- Interfaces
- Max concurrency
- Parallel execution
- Preview deployment testing
- Runner OS
- Secrets injection
- Secrets management
- Setup difficulty
- Test sharding
Run from the command line: npx momentic run | MCP: MCP
Run from the command line: Use --parallel 4 or --parallel auto to run tests concurrently.
Run from the command line: npx momentic run
- 7Hosted test environments - Momentic · Official docs · Momentic · retrieved 2026-09-26
Supports 11 claims · Vendor documented, high confidence · verified 2026-09-26
- Browser engines
- Browsers
- Cross-browser testing
- Cross-platform testing
- Data regions
- Data residency
- Device modes
- Execution model
- Native mobile testing
- Real device testing
- Target OS
Hosted test environments: Hosted Chrome browsers
Hosted test environments: To pin emulators to a single jurisdiction (us, eu, or as) for data residency
Hosted test environments: Android emulators, iOS simulators
- 8Welcome to Momentic - Momentic · Official website · Momentic · retrieved 2026-09-26
Supports 36 claims · Vendor documented, high confidence · verified 2026-09-26
- Autonomous exploration
- Autonomous PR validation
- Browser extension testing
- Canvas testing
- Code samples
- Console logs
- Dark and light mode testing
- Database assertions
- Debug artifacts
- Editorial · Limitations
- Email testing
- Execution traces
- File download testing
- Headed execution
- Headless execution
- iframe testing
- Multi-tab testing
- Native desktop testing
- Notification testing
- OAuth testing
- On-premises deployment
- PDF validation
- PR comments
- Private network access
- Private runners
- Recorder
- Replay
- Scheduled execution
- SDK
- Spelling and grammar checks
- Support channels
- Test data generation
- Test import
- Video content validation
- Video recording
- VS Code extension
Documentation Index: Examples Working web, iOS, and Android projects
Web commands: assert | Run an AI assertion against the DOM, accessibility tree, and screenshot. | Web commands: recordRequests | Start recording every request that matches a URL pattern. | Documentation Index: Results Runs, videos, traces, and local reports
Documentation Index: Common problems Fixes for the errors support sees most
Title: Priority support | Documentation Index: Documentation Index
- 9AI test maintenance - Momentic · Official docs · Momentic · retrieved 2026-09-26
Supports 9 claims · Vendor documented, high confidence · verified 2026-09-26
- Adapts to UI changes
- AI failure analysis
- Auto-waiting
- Automatic retries
- Failure grouping
- Maintenance approach
- Reliability mechanisms
- Self-healing
- Uses AI
AI test maintenance: Locator auto-healing re-resolves a stale target or waits for the page to settle. | AI test maintenance: Permanent healing uses classification and triage to explain the failure, decide whether it is healable, and permanently repair the test when possible.
AI test maintenance: Locator auto-healing re-resolves a stale target or waits for the page to settle. | AI test maintenance: Failure recovery generates temporary steps to clear an obstruction, then retries the failed step. | AI test maintenance: Quarantine keeps an unresolved flaky test running and collecting data without letting it block CI.
- 10Coding agent skills - Momentic · Official docs · Momentic · retrieved 2026-09-26
Supports 1 claim · verified 2026-09-26
- AI test generation
- 11MCP - Momentic · Official docs · Momentic · retrieved 2026-09-26
Supports 2 claims · Vendor documented, high confidence · verified 2026-09-26
- Interfaces
- MCP server
Run from the command line: npx momentic run | MCP: MCP
- 12AI test selection - Momentic · Official docs · Momentic · retrieved 2026-09-26
Supports 1 claim · verified 2026-09-26
- PR-aware test selection
- 13Performance - Momentic · Official docs · Momentic · retrieved 2026-09-26
Supports 1 claim · verified 2026-09-26
- Performance measurement
- 14Local app - Momentic · Official docs · Momentic · retrieved 2026-09-26
Supports 1 claim · verified 2026-09-26
- Interactive debugging
- 15Security and AI data use | Momentic · Official security · Momentic · retrieved 2026-09-26
Supports 5 claims · Vendor documented, high confidence · verified 2026-09-26
- Audit logs
- Customer data used for training
- SCIM
- SSO (OIDC)
- Training opt-out
Security and AI data use: Data from self-serve accounts can be used to improve Momentic's own agents.