luoling8192

luoling8192 / github-star-organizer

Public

Automatically categorize your GitHub starred repos into Star Lists using LLM.

github
20
2
69% credibility
Found Mar 09, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This tool uses AI to automatically categorize a user's starred GitHub repositories into organized Star Lists by analyzing repo details.

How It Works

1
⭐ Discover the organizer

You stumble upon a simple tool that promises to sort your chaotic collection of starred GitHub projects into tidy groups.

2
🔗 Connect your accounts

You link your GitHub profile and pick a smart AI helper by sharing basic login details from your browser and AI service.

3
📋 Copy setup info

You grab a sample guide, fill in your username, and paste in the login string from your browser's tools to get ready.

4
🔍 Preview the magic

You run a quick test view to see smart suggestions for grouping your starred projects into helpful categories like 'AI Tools' or 'Web Apps'.

5
Ready to organize?
✅
Yes, go ahead!

Confirm to let it create groups and sort your stars.

❌
Not yet

Stop here and your stars stay as they are.

6
✨ Watch it sort

The tool creates new folders if needed and neatly places each starred project into the best-fitting group.

🎉 Perfectly organized

Now browsing your GitHub stars feels effortless with everything sorted into clear, reusable lists.

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Star Growth

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AI-Generated Review

What is github-star-organizer?

This Python CLI tool automatically categorizes your GitHub starred repos into Star Lists using an LLM like GPT-4o. It fetches your stars via the REST API, analyzes repo metadata for smart grouping (e.g., "AI/ML" or "DevOps"), creates new lists if needed, and assigns repos—much like automatically categorizing emails in Gmail or Outlook, or credit card transactions. Run it with `uv run python -m star_organizer --dry-run` to preview, then confirm changes; it caches results to only handle new stars on re-runs.

Why is it gaining traction?

Unlike manual sorting or basic GitHub automations like auto-closing issues or deleting branches, it leverages LLM smarts for contextual categorization, reusing existing lists to stay under GitHub's 32-list limit. The incremental caching and concurrency controls (e.g., LLM batches, web API limits) make it efficient for large star collections, previewing changes before applying—like a github star organizer that thinks for you. Debug mode and curl-reproducible requests help troubleshoot web API quirks.

Who should use this?

Developers with 100+ starred repos who want organized Star Lists for quick discovery, such as full-stack engineers filtering "Web Frameworks" or ops folks grouping "CLI Tools." Ideal for those already automating workflows like github automatically sync fork or assign reviewers, but tired of starred repo chaos blocking project inspiration.

Verdict

Worth a spin if you hoard stars—solid docs, MIT license, and preview mode lower risks despite low maturity (15 stars, 0.699999988079071% credibility score). Fork and tweak for production use; session cookies add fragility, but it's a clever time-saver today.

(198 words)

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