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Maige Logo

Cloud-based AI GitHub automation for dev teams

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Maige - 2026 Pricing, Features, Reviews & Alternatives

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Last updated: September 2026

Maige overview

What is Maige?

Maige is a cloud-based AI agent that integrates directly with GitHub to automate repository management tasks across software development teams. By interpreting natural language instructions, it executes actions available in the GitHub UI, including labeling pull requests, assigning issues, and conducting automated code reviews based on contributing guidelines. Teams define custom rules in plain language, eliminating the need for manual scripting or workflow configuration.

Designed for software development teams managing open-source or collaborative repositories, Maige supports conditional logic in its rule definitions. For example, PR labeling can be scoped by file type or contributor role, and issue assignment can be triggered by content classification. A built-in dashboard provides visibility into AI run history and allows teams to monitor activity and submit feedback on individual runs. Pricing follows a usage-based model with a free tier covering the first 30 issues, scaling to accommodate larger teams with higher repository activity volumes.

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Maige’s user interface

Ease of use rating:

Maige's key features

Most critical features, based on insights from Maige users:

Code generation
Proactive error detection
Real-Time ai coding assistance
Workflow integration of ai

All Maige features

Code generation
Proactive error detection
Real-Time ai coding assistance
Workflow integration of ai

Maige alternatives

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Maige pricing

Value for money rating:

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Pricing details
Subscription
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Free plan
Pricing range

User opinions about Maige price and value

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Maige support options

Typical customers

Freelancers
Small businesses
Mid size businesses
Large enterprises

Platforms supported

Web
Android
iPhone/iPad

Training options

Videos

Maige FAQs

Q. Who are the typical users of Maige?

Maige has the following typical customers:
Freelancers, Small Business, Mid-size Business, Large Enterprises

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