QA Wolf bills like an agency. agent-qa has no paid tier, is source available, and remembers every release.
QA Wolf sells managed QA execution on service contracts, humans and infrastructure on their side of the fence. agent-qa is the self-service path where tests, models, hooks, and artifacts stay in-house.
Try agent-qa, the source-available alternative where each release builds QA memory.
agent-qa vs QA Wolf
| Capability | agent-qa | QA Wolf | Details |
|---|---|---|---|
| Source access | QA Wolf is not positioned as a repo-owned framework with published source, so behaviour you disagree with is a support ticket. With agent-qa it is a pull request. | ||
| Repo-owned YAML | QA Wolf keeps the test intent inside its own product. agent-qa keeps intent, config, hooks, memory and suites beside the code they cover, where your engineering process already works. | ||
| Coding-agent native | A coding agent cannot click through a hosted editor. agent-qa ships MCP tools, packaged Skills and a CLI, so the agent that changed the code writes the test, runs it and reads the failure without leaving the loop. | ||
| Bring your own LLM | Whoever picks the model sets your quality ceiling and your bill. agent-qa lets you point at any provider, any compatible endpoint, or a model on your own hardware, and change it in one line. | ||
| Local and CI execution | One command on a laptop, in CI, and from an agent. No run depends on somebody else's control plane being up, and nothing queues behind another tenant. | ||
| Web and mobile QA | Web, Android and iOS from the same natural-language flow and the same evidence model. The surface is a target named in a file, not a different product tier. | ||
| Memory, cache, hooks | Execution memory, a validated action cache and sandboxed hooks compound. A suite that has been running a month is faster, cheaper and better informed about your app than the day it was written. | ||
| No platform lock-in | Every durable asset stays in your repository. Cancel agent-qa tomorrow and the tests, the memory and the evidence are still there and still readable. |
Why teams switch from QA Wolf
No license fee, no seat math
QA Wolf runs on quote-based managed-service contracts, you're paying for people and process, renewed annually, and that number grows with the coverage you add. agent-qa has no paid tier or licence fee for FSL-permitted use and its source is available under FSL-1.1-ALv2. You pay for tokens and infrastructure you control, on whichever provider is cheapest this quarter, and the cache cuts that too.
Runs compound instead of resetting
QA Wolf runs a test and forgets. Every run starts from nothing, which is why the hundredth run costs exactly what the first one did. agent-qa writes what it learned into memory committed beside your tests, so the next run starts where the last one finished and the suite gets better at your app on its own.
Humans in the loop don't scale with agents
QA Wolf's model puts vendor humans between your release and your green check. As your own coding agents write more of the code, they need a QA loop they can call directly, MCP tools, CLI runs, artifacts, not a service queue on someone else's SLA.
QA Wolf charges service-contract money to keep tests green. agent-qa makes green tests a property of your repo, self-improving, agent-runnable, and available without a paid tier.
Frequently asked questions
Is agent-qa a good QA Wolf alternative?
Yes, and the reason is structural rather than a feature count. QA Wolf is a managed QA service where the vendor's team builds and maintains your test coverage under a service contract, which means the asset you are building lives on their side of the line. agent-qa is a source-available QA agent with no paid tier, governed by FSL-1.1-ALv2: tests are plain-English YAML in your repository, runs execute on your laptop, in your CI, or from your coding agent, and every run writes back into memory committed beside the tests. The suite gets better at your app whether or not you renew anything.
How much does agent-qa cost compared to QA Wolf?
QA Wolf is priced on quote-based annual service contracts, so the bill tracks how much you test. agent-qa has no paid tier, no seats and no platform fee; FSL-1.1-ALv2 governs permitted use. You pay for the model tokens and infrastructure you already control, on the provider you choose, and the validated action cache takes roughly 60% of the tokens off a matched rerun. Adding coverage does not add a line item.
How do I migrate from QA Wolf to agent-qa?
You are re-describing intent, not porting code, which is why this is far smaller than a normal test migration. You already know your critical flows, they're what QA Wolf's team automated for you. Re-describe them as agent-qa YAML tests and the coverage comes in-house along with everything future runs learn. Run npx agent-qa init, write each critical flow as a plain-English YAML test, and let the runtime work out the selectors and the recovery. Most teams move a smoke suite in an afternoon, and there is nothing to un-pick later because the output is files in your own repository.
Does agent-qa cover web and mobile like QA Wolf?
Yes, and from the same file. agent-qa runs end-to-end tests on web, Android and iOS with one natural-language format, one memory store and one evidence model, so a flow written once survives being pointed at another surface. QA Wolf has expanded toward mobile through its service; agent-qa gives you web plus Android and iOS from one source-available harness, without a service engagement.
QA Wolf promises 80%+ coverage, can agent-qa match that?
Coverage is a function of writing tests, and agent-qa makes tests radically cheap to write: plain-English YAML that engineers or coding agents produce in minutes, with memory and caching keeping runs stable as the product changes. The difference is you own the coverage instead of renting the team that maintains it.
Sources
This page is based on public product and documentation sources. Verify current features and pricing with each vendor before making a purchase decision.
Where agent-qa pulls ahead of QA Wolf
The parts of agent-qa that answer what QA Wolf 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.
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 moreCaching and token optimization
Reuse validated actions while the screen still matches, cutting tokens and runtime without generating scripts.
Learn about cachingCheaper the longer it lives
Every proven run reduces the work, time, and tokens needed next.
Learn moreExecution speed
42s to 8s
A run that meets screens it has already proved spends its time acting rather than deciding.
Token saving
less token usage
A reused action never reaches the model, so the only thinking billed is the thinking your app made necessary.
Version controlled, built for teams
Tests, knowledge, and rules stay as reviewable files shared by teammates, agents, and CI.
Learn about configurationFiles, not a database
Tests, config, memory, and rules stay as files your team can inspect and own.
Learn moreLearning arrives as a diff
New memory and issues arrive as pull-request diffs, with their evidence.
Learn moreOne commit everywhere
Humans, coding agents, and CI share the same knowledge from one commit.
Learn more- Tests
- Configs
- Memory
- Self improvement
- Knowledge
- Engineeragent-qa
- QA engineeragent-qa
- Coding agentagent-qa
- CIagent-qa
* This comparison is based on publicly available information. Product capabilities and pricing can change; verify details with each vendor before making a purchase decision.