Magnitude – open-source, AI-native test framework for web apps
Hey HN, Anders and Tom here - we’ve been building an end-to-end testing framework powered by visual LLM agents to replace traditional web testing. We know there's a lot of noise about different browser agents. If you've tried any of them, you know they're slow, expensive, and inconsistent. That's why we built an agent specifically for running test cases and optimized it just for that: - Pure vision instead of error prone "set-of-marks" system (the colorful boxes you see in browser-use for example) - Use tiny VLM (Moondream) instead of OpenAI/Anthropic computer use for dramatically…
In plain words
Magnitude is an open-source end-to-end testing framework for web applications that uses visual language models instead of traditional browser automation. It employs two specialized agents: one to plan and adapt test cases, and another to execute them quickly and consistently. The system uses a smaller vision model for faster and cheaper operation compared to existing browser agents, and relies on pure visual interpretation rather than marked-element systems for improved reliability.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey HN, Anders and Tom here - we’ve been building an end-to-end testing framework powered by visual LLM agents to replace traditional web testing. We know there's a lot of noise about different browser agents. If you've tried any of them, you know they're slow, expensive, and inconsistent. That's why we built an agent specifically for running test cases and optimized it just for that: - Pure vision instead of error prone "set-of-marks" system (the colorful boxes you see in browser-use for example) - Use tiny VLM (Moondream) instead of OpenAI/Anthropic computer use for dramatically faster and cheaper execution - Use two agents: one for planning and adapting test cases and one for executing them quickly and consistently. The idea is the planner builds up a general plan which the executor runs. We can save this plan and re-run it with only the executor for quick, cheap, and consistent runs. When something goes wrong, it can kick back out to the planner agent and re-adjust the test. It’s completely open source. Would love to have more people try it out and tell us how we can make it great. Repo: https://github.com/magnitudedev/magnitude
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