ComparisonsQA Use alternative
A QA Use alternative that keeps the runner yours.
QA Use by Desplega already brings YAML, MCP, and coding-agent skills to browser testing. agent-qa adds a locally controlled QA runtime, reviewable behavioral memory, and native Android and iOS coverage.
Try agent-qa, a source-available QA runtime for a recurring verification loop your team owns: test expectations in YAML, execution on your laptop or CI runner, configurable models, and evidence your coding agent can inspect before a focused rerun.
agent-qa vs QA Use
Scroll the table horizontally to read the details and sources.
| Capability | agent-qa | QA Use | Details |
|---|---|---|---|
| Reviewable YAML expectations | Both keep test definitions in YAML. QA Use includes named actions and assertions; agent-qa expresses journeys and expected outcomes as natural-language steps, with optional hooks and per-step controls. Existing YAML ownership is worth preserving during a move.Sources: 2, 6 | ||
| Control of the execution runtime | QA Use documents local browser operation alongside a Desplega API-backed execution architecture. agent-qa runs the QA engine in your workspace or CI environment, with configured model and device services. A local browser and a locally controlled runner are separate choices.Sources: 2, 7 | ||
| MCP and coding-agent workflows | QA Use ships MCP and Claude Code verification skills. agent-qa also supplies MCP and packaged skills, including test authoring, run inspection and failure triage through local dashboard-backed services. Both can participate in an agent's development loop.Sources: 3, 1, 11, 7 | ||
| Behavioral memory under review | Desplega's related Argus product says it remembers product context. agent-qa makes its memory lifecycle explicit: product, suite and test observations are editable Markdown, retrieved for later steps and curated after runs. The cited QA Use and Argus docs do not establish that same file-review workflow.Sources: 4, 2, 8 | ||
| Direct model configuration | agent-qa exposes named model configurations and compatible provider endpoints in project config. QA Use's documented CLI setup centers on a Desplega API key and app configuration. Its setup guide does not establish the same direct runner-level choice of model provider.Sources: 1, 9 | ||
| Web and native mobile targets | QA Use documents browser E2E testing. agent-qa also runs native Android and iOS targets through configured Appium devices, using the same CLI and test format. Native tests still need a device, app build and explicit app-state policy.Sources: 1, 10 | ||
| Evidence for a failed assertion | QA Use supports screenshots and downloads of recordings and HAR files. agent-qa records step outcomes and artifacts and exposes them to its run inspector and MCP tools. Evaluate which evidence lets your team explain a real failure, beyond seeing that the browser moved.Sources: 2, 12, 7 | ||
| Portable definitions and CI | QA Use supports cloud-to-local export, synchronization and GitHub Actions. agent-qa runs repository tests through its CLI and can emit JUnit results. The reason to switch is the combined local QA runtime and memory, rather than an assumption that QA Use cannot work with Git or CI.Sources: 1, 7 |
Evaluate agent-qa against QA Use
- Select one existing QA Use flow and preserve its setup, assertions and expected side effects in an agent-qa YAML test.
- Run both against the same application revision and dataset; record the services, credentials, model settings and artifacts each requires.
- Introduce a known regression and confirm both tests fail for the intended reason, then inspect the evidence available to a coding agent.
- Rerun after a harmless UI change and review agent-qa's memory changes. If native mobile matters, evaluate a matching Android or iOS journey separately.
Where agent-qa takes your QA further
Keep the execution decisions beside the tests
Define targets, models, timeouts and hooks in your workspace, then run the same contract locally or in CI. agent-qa suits teams that need to review how verification runs as carefully as what it checks.
Retain product knowledge between runs
A suite can record observed product behavior in reviewable memory files. agent-qa retrieves that context for later steps while still inspecting the live application, so useful history is available without becoming an unchecked pass condition.
Bring native mobile into the same workflow
When the release spans a website and native apps, agent-qa gives the team one test format and CLI across web, Android and iOS. Keep target-specific journeys and device setup explicit while sharing the authoring and evidence workflow.
For recurring QA owned by engineering, agent-qa offers the more complete combination of runtime control, behavioral memory and native mobile coverage. You retain the benefits of file-based tests and agent tooling while bringing the verification system into your own workspace.
Frequently asked questions
Which QA Use project does this page compare?
This page compares Desplega's QA Use at qa-use.dev, published as @desplega.ai/qa-use from desplega-ai/qa-use. Browser Use also publishes a separate repository named qa-use. That dashboard has its own comparison here; capabilities from one project should not be attributed to the other.
Does QA Use already support YAML and MCP?
Yes. Desplega's QA Use has local YAML tests, assertion actions, MCP and coding-agent skills. agent-qa's stronger case is the combination of a locally controlled QA runner, configurable models, curated behavioral memory and native mobile targets. YAML or MCP alone does not distinguish these products.
Can I reuse QA Use tests when moving to agent-qa?
Use your existing files as the migration specification. Translate action and assertion steps into agent-qa's test schema, configure the target and reproduce setup data. The schemas differ, so this is an explicit conversion, not a drop-in import. Keep the original expected outcomes and compare a passing run with a deliberately broken case.
Does a local QA Use browser mean execution is independent of Desplega?
Its documented local browser workflow still participates in an API-backed architecture and requires Desplega configuration. Inspect the services needed by the command you intend to use. With agent-qa, the engine runs in your environment and connects to the model and device providers you configure; those providers can still be remote.
When is agent-qa the better QA Use alternative?
Choose agent-qa when repeated release checks should retain reviewable product knowledge and run across web and native apps under your team's runtime configuration. QA Use remains a reasonable choice for teams invested in Desplega's browser testing workflow. Evaluate failure detection, evidence and operating dependencies on the same application before migrating.
Sources
This page is based on public product and documentation sources. Verify current features and pricing with each vendor before making a purchase decision.
Sources reviewed by Vostride.
- 1. QA Use by Desplega: repository and CLI
- 2. QA Use: test format, execution architecture and CI
- 3. QA Use: MCP integration
- 4. Desplega Argus: retained product context
- 5. Browser Use's separate QA Use project
- 6. agent-qa: first test and expectations
- 7. agent-qa: coding-agent verification loop
- 8. agent-qa: behavioral memory
- 9. agent-qa: model and runtime configuration
- 10. agent-qa: native mobile targets
- 11. agent-qa: local execution MCP
- 12. agent-qa: recorded evidence
This page concerns Desplega's QA Use CLI. A partial rating can mean a different architecture or a capability not established in the cited documentation; it does not claim custom extensions are impossible. No comparative performance benchmark was run.
Where agent-qa pulls ahead of QA Use
The parts of agent-qa that answer what QA Use leaves you carrying.
Execution memory
Turn successful runs into reviewable, evidence-backed memory that makes every future run faster.
Learn about memoryProven before it is used
New knowledge must pass replay and live evidence before guiding a run.
Learn moreFaster warm runs
Reuse proven flows and supersede stale facts instead of rediscovering them.
Learn moreA run leaves evidence
Elements that resolved, a flow that worked, and timings that are real, all attached to the steps that produced them.
Web, Android, and iOS
Run the same natural-language flow across web, Android, and iOS with Playwright or Appium.
Learn about mobile testingFour products, four platforms
Each row names its own target, and a target is what decides where a test runs. This one names a web target, so it carries a URL.
Built for Humans & Agents
Humans and agents author the same reviewable YAML, backed by your repository, skills, and MCP.
Learn about MCP and skillsSkills and MCP for agents
Skills teach the workflow; MCP validates, runs, and returns artifacts.
Learn moreBring your own model
Switch providers, endpoints, or models in config without rewriting a single test.
Learn about LLM providersUse your existing seat
Run with supported Codex or Claude Code subscriptions, with no second bill.
Learn more
Compatible endpoints and Codex subscription workflows.
Compatible endpoints and Claude Code subscription workflows.
Gemini configs with named credentials.
Cloud and open model workflows through compatible endpoints.
Open model workflows through compatible endpoints.
Cloud and open model workflows through compatible endpoints.
Cloud model access through compatible endpoints.
Local models through compatible endpoints.
Desktop local model workflows via compatible servers.
Route compatible requests across a broad hosted model catalog.
MiMo model workflows through compatible endpoints.
Hunyuan model workflows through compatible endpoints.
DeepSeek model workflows through compatible endpoints.
GLM model workflows through compatible endpoints.
MiniMax model workflows through compatible endpoints.
Nemotron open models through compatible endpoints.
Step model workflows through compatible endpoints.
Ling open models through compatible endpoints.
* This comparison is based on publicly available information. Product capabilities and pricing can change; verify details with each vendor before making a purchase decision.