Maige — Automate GitHub Issue Labeling

Maige is an automated GitHub issue labeling assistant for engineering teams and open-source maintainers

Maige is an automated issue management assistant that applies labels to GitHub issues using machine learning. This tool is designed for project managers, open-source maintainers, and engineering teams who need to keep their repositories organized without manual triage. By analyzing the historical context of your repository, Maige learns how you categorize bugs, feature requests, and tasks to apply the correct labels to new submissions automatically. The platform eliminates the friction of manual issue sorting by predicting tags based on the title and description of incoming reports. Business owners can reduce the administrative burden on expensive engineering talent, allowing developers to focus on shipping code rather than tagging tickets. Maige is built to provide accuracy that improves over time as it processes more repository data. Implementing Maige requires a two-click setup process to connect with your GitHub organization. Once active, it monitors new activity and applies labels in real-time, ensuring that your development roadmap remains clear and searchable. Verified on surfai.app, this tool is a practical addition to any technical workflow that relies on GitHub for project tracking. Maige is currently available as a free tool for GitHub users looking to experiment with AI-driven repository management. This makes it an accessible entry point for small teams or solo founders managing growing open-source projects.

• Pricing: free

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