amintacccp/githubstarsmanager

AI-powered GitHub stars manager with semantic search, auto-categorization, and release tracking

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Summary Information

Updated 1 hour ago
Added to GitGenius on September 19th, 2026
Created on June 29th, 2025
Open Issues & Pull Requests: 0 (-1)
GitHub issues: Enabled
Number of forks: 175
Total Stargazers: 3,589 (+0)
Total Subscribers: 8 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 3.6 hours
Mean response time: 11.0 days
90th percentile: 7.0 days
Tracked items: 135

Most active contributors

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How this project is maintained

Practically every issue opened in the past year has drawn a reply. 100% of issues opened in the past year have since been closed. Three people close 87% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 1
New in 7 days: 2
Closed in 7 days: 1
Avg open age: 0 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 2
Closed in 7 days: 1
Comments in 7 days: 0
Events in 7 days: 1

Top labels

  • enhancement (18)
  • bug (5)
  • feature (3)

Detailed Description

GitHub Stars Manager is a desktop application that organizes and searches starred GitHub repositories using artificial intelligence and semantic search capabilities.

The tool addresses the problem of managing large collections of starred repositories, which typically become unwieldy and difficult to navigate. GitHub Stars Manager uses vector search and semantic understanding to help users find repositories based on meaning rather than exact keyword matching. It automatically categorizes starred repositories, tracks releases from projects you follow, and provides repository question-answering functionality. The application operates with a local-first architecture, keeping data processing on your machine rather than relying on external services.

The tool suits developers who maintain extensive GitHub star collections and need intelligent organization without manual tagging. It works as a desktop application built with Electron, making it accessible across different operating systems. The project includes integration with Cloudflare Workers for backend functionality and supports interaction through an MCP interface. Users who want semantic search capabilities combined with release tracking and repository insights will find this approach valuable, particularly those preferring local data processing over cloud-dependent solutions.

Development activity shows consistent engagement with the codebase through regular commits addressing both features and maintenance. The project maintains active issue tracking and responds to user feedback. Pull requests are reviewed and merged regularly, indicating ongoing development momentum. The maintainer actively develops new capabilities while keeping the application stable for existing users.