Open-Testing.AI

What Open-Testing.AI is

Open-Testing.AI is an open-source platform for modeling applications, generating and running tests, and analyzing results. It runs through Docker Compose on one machine, with services available behind a single gateway. Teams can import requirements and generate ISO-29119 test assets linked back to those requirements.

Its control plane dispatches steered runs for accessibility, persona-based, exploratory, and regression testing through registered runners. A Universal Translator converts suites across more than 30 frameworks, including Appium, Playwright, Selenium, Cypress, TOSCA, and UFT. The platform uses LiteLLM for GraphRAG-backed generation and Kafka for entity events, and provides an MCP surface for agent tools.

Run events feed dashboards, lenses, GraphRAG, and an assistant; an Entity Query DSL supports queries. Results can be exported as JSON, JUnit, PDF, SARIF, OTLP, or a signed ZIP, and failed runs retain their artifacts. Access controls include governed identities, space-scoped authorization, JWT authentication, and a full audit log. The platform also lists BYOL and provides Claude Cowork skills for requirements validation, test design, planning, coverage, reporting, management, and framework conversion.

Who it suits

Open-Testing.AI suits teams that want to generate, execute, and analyze tests in a self-hosted setup. It may also suit teams working across multiple testing frameworks or needing traceable requirements, governed access, and exportable run evidence.

Getting started

1. Open the project website.
2. Prepare a machine for a Docker Compose deployment.
3. Run the platform with Docker Compose.
4. Use the gateway to access its services.
5. Register runners for steered testing runs.

Verdict

Choose Open-Testing.AI if you want an open-source platform that combines requirement-linked test generation, steered runs, framework conversion, and result analysis. Its deployment is based on Docker Compose, and BYOL is part of its listed attributes.