ComparisonsQA.tech alternative

A QA.tech alternative with execution in your workspace.

QA.tech brings app knowledge and dynamic testing into a hosted platform. agent-qa keeps the runtime, YAML journeys, and learned evidence in a workspace your team operates.

Try agent-qa, a source-available QA runtime for engineers who want to review test intent alongside code, choose the executing model, and inspect what each run taught the next one.

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agent-qa vs QA.tech

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agent-qa vs QA.tech: capabilities and source evidence
Capability	agent-qa	QA.tech	Details
Natural-language tests			QA.tech accepts goals and step instructions. agent-qa keeps natural-language steps and checks in YAML, making the test contract part of the application review.Sources: 6, 9
Local runtime control			QA.tech's CLI exposes local servers through tunnels for its agents. agent-qa executes on your machine or CI runner; configured inference and device services can still be remote.Sources: 3, 14, 10
Coding-agent integration			QA.tech exposes tests, runs, issues, and knowledge through MCP and an agent-friendly CLI. agent-qa offers CLI, MCP, and Skills around the local project. Both can supply evidence to a coding agent.Sources: 4, 2, 11
Reviewable product knowledge			QA.tech has project knowledge and editable assistant memories. agent-qa's memidex keeps evidence-backed records as reviewable files. Its learned records require supported correction tools, and a fresh clone does not automatically serve all committed knowledge.Sources: 5, 12
Model-provider configuration			agent-qa documents subscription, API, and local-model providers. QA.tech's cited CLI and MCP docs do not establish equivalent runner-level provider configuration. Connecting your coding agent does not itself select the model executing tests.Sources: 2, 4, 10
Native mobile coverage			QA.tech documents cloud iOS simulators and Android emulators; physical devices are listed as coming soon. agent-qa uses Appium with configured simulators, emulators, real devices, or BrowserStack. Check the required device matrix in a trial.Sources: 7, 13
Portable test definitions			QA.tech exports test definitions and steps through its API or CLI. agent-qa's YAML is the executable contract from the start. Exportability and the ability to run without a hosted control plane are separate questions.Sources: 6, 9, 14
Automated run results			QA.tech provides run outcomes through its platform and CLI. agent-qa returns a verdict, local run artifacts, and optional JUnit output. Verify how each distinguishes an execution error from a failed product expectation.Sources: 8, 2, 14, 15

Evaluate agent-qa against QA.tech

Select an authenticated journey with a precise expected result and the same test data in both tools.
Run QA.tech against a reachable environment and agent-qa on your chosen runner; record every external dependency.
Break the expected outcome and compare the verdict and evidence available to your coding agent.
Export the QA.tech definition, review the YAML equivalent, and inspect how each system retains and corrects product knowledge.

Set up your coding agent Use the evaluation guide Inspect recorded QA evidence

When local ownership is the deciding factor

Review the executable test

Keep journeys and expected outcomes in YAML beside the code. A reviewer can see the exact acceptance change before the next run.

Choose your execution dependencies

Configure the runner, model provider, and device environment explicitly. Your team also takes responsibility for maintaining those services.

Inspect learned evidence

Review memidex records and their outcome history with your test changes. Confirm knowledge availability on your actual CI workers before relying on it.

agent-qa is a fit for teams that want to operate their runtime and review its durable files. QA.tech remains a relevant choice for hosted verification with application context and agent access.

Frequently asked questions

Does QA.tech already work with coding agents?

Yes. It documents MCP access, a CLI with structured output, and agent setup. agent-qa's difference is its local workspace and runtime model, not exclusive support for agents.

Does QA.tech have memory?

Yes. Its project knowledge includes assistant memories. Compare how knowledge is reviewed, corrected, and supplied during execution; do not treat the presence of memory as unique to agent-qa.

Can I export QA.tech tests?

Yes, including goals, expected results, and step instructions. An export is useful input for migration, but it still needs conversion and validation before it becomes an agent-qa YAML test.

Can both test native mobile apps?

Yes. QA.tech's documented mobile environment uses cloud simulators and emulators. agent-qa supports Appium environments that your team configures. Test the exact OS, device, and app-state requirements you need.

When should I keep QA.tech?

Keep it when hosted orchestration, shared project knowledge, and PR review fit your team. Evaluate agent-qa when running and reviewing the QA contract inside your repository matters more.

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 2026-11-07 by vostride.

Partial marks architectural differences or capabilities not established by the cited docs. No comparative performance benchmark was run. Pricing and private deployment options require vendor confirmation.

Where agent-qa pulls ahead of QA.tech

The parts of agent-qa that answer what QA.tech leaves you carrying.

Execution memory

memidex keeps persistent memory as reviewable files beside your tests, ready for future runs.

Learn about memory

Reviewable bundles

Every learned fact ships with its evidence as files in your repository.

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Proven before it is used

New knowledge must pass replay and live evidence before guiding a run.

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Faster warm runs

Reuse proven flows and supersede stale facts instead of rediscovering them.

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runTest issue creation on Linear29s

Open /issues4.1s

Click "New issue"3.4s

Fill title, description, label9.7s

Verify row VOS-4826.2s

A 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.

Connect your coding agent

Anyone can author

Product, engineering, and QA write the same plain-language test.

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Skills and MCP for agents

Skills teach the workflow; MCP validates, runs, and returns artifacts.

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One shared artifact

Every author produces the same reviewable YAML in the repository.

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Version controlled, built for teams

Tests, knowledge, and rules stay as reviewable files shared by teammates, agents, and CI.

Learn about configuration

Files, not a database

Tests, config, memory, and rules stay as files your team can inspect and own.

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Learning arrives as a diff

New memory and issues arrive as pull-request diffs, with their evidence.

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One commit everywhere

Humans, coding agents, and CI share the same knowledge from one commit.

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Tests
Configs
Memory
Self improvement
Knowledge

Version control

Engineeragent-qa
QA engineeragent-qa
Coding agentagent-qa
CIagent-qa

Bring your own model

Switch providers, endpoints, or models in config without rewriting a single test.

Learn about LLM providers

Swap it in one line

Change provider, endpoint, or model in config; tests stay untouched.

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Use your existing seat

Run with supported Codex or Claude Code subscriptions, with no second bill.

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Keep it local

Keep code private with an open-weight model on your own hardware.

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* This comparison is based on publicly available information. Product capabilities and pricing can change; verify details with each vendor before making a purchase decision.