Local CI
Agent-enablingSource AvailableSource-available local GitHub Actions runner designed for AI-agent development loops
Autonomous QA agent for natural-language web and mobile application testing
Overview
This summary uses submitted and public product material. Only source-mapped claims are documentation reviewed.
Agent QA is an autonomous QA agent that authors, runs, and troubleshoots natural-language tests for web and mobile applications. It exposes CLI, MCP, and agent-skill interfaces, and uses execution memory to adapt tests when an application’s UI changes.
The current release is source-available under FSL-1.1-ALv2. That license permits copying, use, modification, and redistribution for purposes other than a competing use, and each release converts to Apache-2.0 after two years. Configured model, browser, or device providers may charge separately. Source and license terms are available in the Agent QA repository.
Listing decision
Agent QA uses a model-driven execution loop to observe applications, plan and perform test actions, recover from UI drift, and retain execution memory, making the agent itself central to the product.
Before you choose
Teams that want reviewable natural-language end-to-end tests across web, Android, or iOS and want coding agents to author, run, and triage those tests through CLI, dashboard, MCP, or skills.
The CLI and dashboard require a JavaScript runtime and configured LLM; normal visual testing needs a multimodal model. Docker is required for isolated hooks, and mobile runs also depend on the relevant Appium and platform tooling.
The first-party pages describe self-healing and usage savings, but this review did not find or validate an independent accuracy, reliability, or cost benchmark. Model and device-provider charges are outside Agent QA.
Sources
First-party unless marked otherwise. Each link supports only its adjacent claim.
The quickstart documents local npm installation, web and mobile targets, multimodal-model requirements, CLI and dashboard operation, and optional Docker-isolated hooks.
official documentation · accessed Sep 3, 2026Agent QA exposes HTTP and stdio MCP servers with tools for authoring tests, queuing runs, inspecting evidence, and classifying failures.
official documentation · accessed Sep 3, 2026Vostride describes natural-language web, Android, and iOS tests, self-healing execution, file-backed memory, and free installation with model inference as the running cost.
official product page · accessed Sep 3, 2026The current release uses FSL-1.1-ALv2, excludes competing use, and grants an Apache-2.0 future license after two years.
official license · accessed Sep 3, 2026Source-available local GitHub Actions runner designed for AI-agent development loops
Developer platform for voice AI agents over phone, web, and MCP
Trusted skills and APIs marketplace for agent discovery and execution
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