QAOS — Quality Assurance Operating System
Enterprise-grade, engine-agnostic QA platform. Not a test framework. Not a test repository.
QAOS is an operating system for Quality Assurance:
- Documentation Driven — blueprint and specifications are the contract.
- Test Case First — test cases are the source of truth; automation is generated from them.
- AI Native — ten specialized AI agents collaborate on QA work.
- Multi Product / Multi Engine — one platform, unlimited products, unlimited automation engines.
- Engine Agnostic — never coupled to Selenium, Playwright, Cypress, Appium, or any vendor technology.
Requirement → PRD → FSD → Scenario → Test Case → Automation → Execution → Report
If a requirement changes, the test case changes first. Automation is regenerated.
Repository Structure
qaos/
blueprint/ Architecture, principles, conventions, roadmap, governance
specifications/ Contracts every artifact must obey
knowledge/ Reusable, cross-project engineering knowledge
agents/ AI agent definitions and system prompts
templates/ Test case, page object, project scaffolding
framework/ Engine-agnostic core (Python package)
packages/ Optional shared packages
adapters/ Engine adapters (Selenium, Playwright, REST, ...)
cli/ qaos command-line interface
docs/ User documentation
examples/ Reference product integration
docker/ Container definitions
scripts/ Maintenance scripts
integrations/ CI/CD platform integrations
Quick Start
pip install qaos-agent # install qaos CLI from PyPI
# or, isolated without global install:
pipx install qaos-agent
qaos doctor # verify platform health
qaos init my-product # scaffold a new product workspace
qaos validate my-product # validate test cases against specifications
qaos generate my-product # emit pytest automation + page objects
qaos review my-product # quality gates on locators and page code
qaos run my-product # execute automation (--engine selenium|playwright|rest)
qaos report my-product # generate reports
qaos migrate my-product --engine selenium # switch primary engine
qaos explore my-product --prompt "testing pada login" # AI: prompt -> test case
qaos analyze my-product # failure analysis + flaky intelligence
Contributors / local dev: clone the repo and run
pip install -e ".[dev]"instead.
See docs/quickstart.md (complete usage guide) and the canonical blueprint.
License
MIT. See LICENSE.
1 maintainer
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