According to AlphaMoat, as of 2026-09, the Chrome extension Github->LLM has 42 users (+0% MoM), rated 5 (1 reviews) — ranked #5,792 of 9,324 AI browser extensions, and #362 of 601 in Programming.
What is Github->LLM
Extract and clean GitHub repository content as Markdown for LLMs GitHub -> LLM
The ultimate Chrome extension for developers, researchers, and AI enthusiasts. This powerful tool bridges the gap between GitHub repositories and Large Language Models (LLMs), making it effortless to extract, clean, and format repository content for use with your favorite LLM platforms.
Key Features:
1. One-Click Processing: Simply enter any GitHub URL - be it a project, file, or folder - and watch as the extension works its magic, converting the content into a clean, LLM-ready format.
2. Smart Content Cleaning: Our intelligent algorithm automatically filters out binary files and non-text content, ensuring you get only the relevant, processable information.
3. Instant Preview: View the processed content directly in the extension popup, allowing you to quickly assess and verify the extracted information.
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4. Flexible Export Options:
- Copy the processed content to your clipboard with a single click.
- Download the formatted content as a Markdown file, perfect for sharing or further processing.
5. Sleek, User-Friendly Interface: Enjoy a clean, intuitive design that makes navigation and usage a breeze.
6. GitHub-Anywhere Compatibility: Works seamlessly with all GitHub repositories, including GitHub Pages sites.
7. Privacy-Focused: All processing happens locally in your browser, ensuring your data remains secure and private.
Whether you're training machine learning models, conducting code reviews, or simply need to quickly extract repository content, GitHub -> LLM is your go-to tool. Streamline your workflow and unlock the full potential of GitHub repositories for LLM applications.
Transform the way you interact with GitHub. Get GitHub -> LLM today and experience the future of repository content extraction!
Extension profile
User Growth Trend
Popular in Programming
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Data month: 2026-09 · User counts and ratings come from public Chrome Web Store data, aggregated monthly. See methodology.