Magnitude – An End-to-End Testing Framework Driven by Open-Source AI Agents

What is Magnitude?

Magnitude is an open-source end-to-end testing framework driven by visual AI agents. Magnitude constructs test cases based on natural language, plans and adjusts test processes with powerful reasoning agents, and executes tests using fast visual agents. Magnitude supports local execution and integration with CI/CD pipelines, and offers managed services, including hosted browser infrastructure and LLM infrastructure, to simplify test management. Magnitude helps developers efficiently test web applications and ensure application quality.

The main functions of Magnitude

• Natural Language Test Authoring: Define test steps and checkpoints in natural language to lower the testing threshold.
• Intelligent Reasoning and Visual Execution: Reasoning agents dynamically adjust testing strategies, while visual agents reliably execute tests.
• Flexible Execution Options: Supports local execution, CI/CD integration, and managed services to meet diverse testing needs.
• Managed and Self-Hosted: Offers managed services for simplified management and supports self-hosting to meet privacy and customization requirements.
• Test Management and Visualization: Manage test cases, view test results, and access historical records via the console.

The technical principles of Magnitude

• Visual AI Agent: Leverages computer vision technology to recognize and understand elements on web interfaces. Based on the visual model, Magnitude can “see” changes in the interface, such as shifts in button locations, updates to text content, etc. The visual agent matches interface elements with the descriptions in test cases to ensure testing accuracy.
• Reasoning and Planning Model: Utilizes natural language processing (NLP) technology to parse the natural language descriptions in test cases and convert them into executable test steps. The reasoning agent dynamically adjusts the test plan according to the dynamic changes of the application interface, ensuring that the tests adapt to interface updates.
• Data-driven Test Execution: The data in test cases (such as usernames, passwords, etc.) can be flexibly configured, supporting secure storage and usage of sensitive data. During the test execution process, the visual agent and reasoning agent work collaboratively to ensure the accurate execution of test steps.
• Flexibility in Managed and Self-hosted Modes: The managed service provides browser and LLM infrastructure based on cloud platforms, eliminating the need for users to set up their own environments. The self-hosted mode allows developers to use their own infrastructure and interact with Magnitude’s core agents via APIs, meeting the needs for data privacy and customization.

The project address of Magnitude

• Project official website: https://magnitude.run/
• GitHub repository: https://github.com/magnitudedev/magnitude

Application scenarios of Magnitude

• End-to-end Testing of Web Applications: Verify the complete user process and adapt to interface changes.
• Automated Testing in CI/CD: Integrated into the development process to ensure stability after code submission.
• Monitoring in Production Environment: Monitor the application status in real time to detect problems promptly.
• Adaptability Testing for Interface Changes: Quickly adjust test cases to cope with interface updates.
• Team Collaboration and Management: Manage tests based on the console to facilitate team collaboration.