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Maige
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Code Generation & Assistants (176)

Maige Verified Tool

Maige is an AI assistant for managing GitHub issues, labeling work, summarizing discussions, and supporting repository workflows.

Last Update: August 20, 2026

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Starting price From $1

Tool Information

Maige is an AI assistant for managing GitHub issues, labeling work, summarizing discussions, and supporting repository workflows.

Maintainers install it only on approved repositories, grant minimum permissions, test rules on low-risk issues, review suggested labels and actions, protect secrets, monitor logs, and retain human control over merges and closures.

Usage starts from $1; repositories, issues, AI actions, purchase type, and billing terms vary.

Repository agents can expose code, follow prompt injection in issues, misclassify work, or take unintended actions. Least privilege, secret hygiene, logs, branch protection, review, and rollback are essential.

F.A.Q (3)

Maige is an AI assistant for managing GitHub issues, labeling work, summarizing discussions, and supporting repository workflows.

Maintainers install it only on approved repositories, grant minimum permissions, test rules on low-risk issues, review suggested labels and actions, protect secrets, monitor logs, and retain human control over merges and closures.

Verified pricing: From $1. Usage starts from $1; repositories, issues, AI actions, purchase type, and billing terms vary.

Pros and Cons

Pros

  • Maige turns natural-language instructions into GitHub repository workflows
  • Automatic labeling can keep incoming issues organized
  • Rules can assign issues to the appropriate maintainer
  • The agent can comment on issues and pull requests
  • Pull-request review can be aligned with a repository's contributing guide
  • Simple code snippets can run in an isolated sandbox
  • Code generation can address scoped repository tasks
  • Custom instructions are written as plain text instead of workflow syntax
  • A dashboard shows runs and collects maintainer feedback
  • Repository installation takes only a few guided steps
  • Webhook creation lets the agent respond to new issues and pull requests
  • Whole-codebase embeddings provide broader repository context
  • The project describes itself as open-source infrastructure
  • The first thirty issues are included for experimentation
  • The standard plan combines review and generation in one subscription
  • Thousands of repositories are reported to have used the service

Cons

  • The installation creates a webhook; code embeddings; and a sandbox environment
  • Broad GitHub API access can affect labels; assignments; comments; code; and other repository state
  • Natural-language rules can be ambiguous or overlap
  • An incorrect auto-label may send an issue to the wrong workflow
  • Automated comments can create noise for maintainers and contributors
  • Codebase embeddings copy proprietary source context into another system
  • Sandboxed code still needs controls for secrets; network access; and untrusted pull requests
  • AI review can miss logic; security; performance; and product defects
  • Generated changes require human review and repository tests
  • The paid standard tier starts after only thirty free issues
  • Enterprise service is described as coming soon
  • A single monthly price may be poor value for low-volume repositories
  • Rules need regression testing when repository conventions change
  • An instruction giving the agent UI-equivalent capabilities creates a large blast radius
  • Public repositories must disclose bot behavior clearly to contributors
  • Maintainers remain accountable for every automated action and merged change

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Overview

Pricing
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Applicable Tasks

coding GitHub repository label

Before you subscribe

  • Check the currency, billing period, automatic renewal, usage limits and seats at checkout — prices and promotions change.
  • App-store pricing can differ from website pricing by country, device and tax.
  • Share only authorised data, and read the provider's encryption, retention and model-training terms first.
  • AI output can be incomplete or wrong. Verify facts, citations, calculations and code before you publish or ship.
  • Commercial usage rights vary by plan, provider terms and jurisdiction.
  • None of these tools replaces a qualified professional for medical, legal or financial decisions.

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