Maige for Web

Quick summary

Maige is an AI-powered assistant that automates labeling of GitHub issues to make repository maintenance faster and less manual. Built on advanced GPT-based models, it can suggest and apply labels to both newly opened issues and existing ones, helping teams keep issue trackers organized.

What it does and how it connects

Maige integrates directly with your GitHub repository so labeling becomes part of your normal workflow. Once installed, it observes incoming issues and can apply appropriate tags automatically, or respond to explicit commands to process items already in the backlog. The integration supports a range of organizations and repo setups.

How to use it

• Maige label all — apply labels across multiple existing issues at once by invoking the bulk-label command.
• Maige label this — tag a single issue on demand with a short command when you need immediate labeling.

You can also supply custom instructions to guide how labels are chosen, enabling project-specific rules or naming conventions.

Plans and trial access

Maige provides a free trial so teams can evaluate its core capabilities before committing. The availability of a trial implies that there are paid tiers or premium options offering more advanced features, higher usage limits, or additional configuration controls.

Practical advantages

• Reduces the time spent manually sorting and tagging issues, freeing maintainers to focus on development.
• Helps keep issue trackers consistent by applying labels according to defined patterns or custom rules.
• Scales across repositories and teams through its GitHub integration.

Alternative option

Consider HelloQuery (subscription) as another solution if you want to compare different approaches to automated issue labeling or broader repository analytics.