Open-Testing.AI

Plans and prices

Every plan, in full

On the record

Access controls

The site states that the platform supports governed identities, space-scoped authorization, JWT authentication, and a full audit log.open-testing.ai · read 9 Oct 2026

Agentic testing

Its control plane dispatches steered runs for WCAG, personas, exploratory testing, and regression baselines through registered runners.open-testing.ai · read 9 Oct 2026

Analytics

Run events feed dashboards, lenses, GraphRAG, and an assistant, with an Entity Query DSL for queries.open-testing.ai · read 9 Oct 2026

BYOL

The site lists BYOL among the platform’s headline attributes.open-testing.ai · read 9 Oct 2026

Deployment

The platform runs with Docker Compose on one machine and exposes services behind a single gateway.open-testing.ai · read 9 Oct 2026

Evidence exports

Runs can be exported as JSON, JUnit, PDF, SARIF, OTLP, or a signed ZIP.open-testing.ai · read 9 Oct 2026

Failure artifacts

The site says failed runs retain their artifacts.open-testing.ai · read 9 Oct 2026

Framework conversion

Its Universal Translator converts suites across more than 30 frameworks, including Appium, Playwright, Selenium, Cypress, TOSCA, and UFT.open-testing.ai · read 9 Oct 2026

Integrations

The platform uses LiteLLM for GraphRAG-backed generation, Kafka for entity events, and offers an MCP surface for agent tools.open-testing.ai · read 9 Oct 2026

Purpose

Open-Testing.AI describes itself as an open-source AI testing platform for modeling applications, generating and running tests, and analyzing results.open-testing.ai · read 9 Oct 2026

Skills

The Claude Cowork skills suite covers requirements validation, test design and creation, planning, coverage, reporting, management, and framework conversion.open-testing.ai · read 9 Oct 2026

Test generation

It imports requirements and generates ISO-29119 test assets with behavior-to-requirement traceability.open-testing.ai · read 9 Oct 2026

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