MaaFramework  by MaaXYZ

Automation framework for black-box testing and AI agents

Created 3 years ago
3,788 stars

Top 12.7% on SourcePulse

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Project Summary

Summary

MaaFramework addresses the need for an accessible, powerful automation black-box testing framework. It targets developers seeking to streamline testing processes through image recognition, offering a low-code yet highly extensible solution to build better testing programs efficiently.

How It Works

This next-generation framework leverages image recognition and distilled MAA development experience. Its core design prioritizes low-code development while maintaining high extensibility, enabling developers to create robust black-box testing applications with a focus on ease of use and powerful customization through its pipeline architecture.

Quick Start & Requirements

Specific installation commands and detailed prerequisites are not explicitly detailed in the provided README. GPU acceleration on Windows relies on Microsoft's DirectML, which is a separate, non-open-source component. Users are directed to an official website for a better documentation experience, but no direct URL is provided.

Highlighted Details

  • Features a rich ecosystem of community-driven applications, with a convention encouraging names like "MaaXXX".
  • Provides a comprehensive suite of development tools, including MaaDebugger, MaaPipelineEditor, MaaLogAnalyzer, and a VSCode plugin.
  • Offers multiple GUI options such as MFAAvalonia, MFW-CFA, MXU, and MWU for diverse user interfaces.
  • Supports GPU acceleration via Microsoft's DirectML on Windows, with the option to remove the DirectML.dll if not needed.

Maintenance & Community

The project actively fosters community engagement through an official QQ group (595990173) for development discussions. It encourages ecosystem co-building by welcoming PRs to list community projects and adopt naming conventions like "MaaXXX".

Licensing & Compatibility

MaaFramework is licensed under LGPL-3.0. GPU acceleration functionality depends on Microsoft's DirectML, which is not covered by the LGPL-3.0 license. Users can opt-out of GPU acceleration by removing the bundled DirectML.dll.

Limitations & Caveats

The framework strictly prohibits use for disrupting software functions (e.g., anti-cheat), developing TOS-violating tools (e.g., game cheats), or any illegal activities. Users assume all risks, are responsible for legal compliance and authorization, and must indemnify the authors against any liabilities arising from misuse. The "MaaEnd" application is noted as being under active development.

Health Check
Last Commit

13 hours ago

Responsiveness

Inactive

Pull Requests (30d)
34
Issues (30d)
25
Star History
266 stars in the last 30 days

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