Produce test evidence before go-live

Argus QA is a self-hosted AI testing platform designed to generate comprehensive test evidence through autonomous regression testing for enterprise web applications. By deploying AI computer-use agents, the system navigates complex workflows and validates business logic without relying on fragile selectors or coordinates. Instead, it utilizes versioned YAML objectives that define roles, assertions, and budgets, ensuring that every action is backed by a screenshot and a documented reasoning chain. This approach allows teams to identify critical defects and validate stability before production go-live, providing a rigorous layer of quality assurance that adapts to frequently changing interfaces. As one of the three core engines of the Argus ecosystem, the QA module shares a unified configuration for models, credentials, and cost accounting with the AI and pentest engines. The platform is engineered for high-security enterprise environments, operating as a self-hosted deployment of ten containers with no external SaaS dependency. By combining deterministic scripting for authentication and stable flows with autonomous agents for multi-role business processes, Argus QA bridges the gap between rigid automation and manual testing, delivering a scalable way to maintain high-fidelity evidence across multiple environments.