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A static, multilingual curated awesome-list collection site built with Astro, Starlight, and Hagilight. Aggregates pinned upstream awesome lists (programming languages and AI/ML) into English and nine locale editions.

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Awesome Site

last commit website

Less searching. More discovering. Awesome Site gathers community-curated open-source "awesome" collections in one place, so you can pick a topic, read in your language, and follow each entry back to its source.

Part of the HagiCode ecosystem. HagiCode is an AI workbench for project development: it works with the Agent CLIs and models you already use, reads the repository first, sets the scope, and then executes with a trail you can review. Install it from the installation guide or see the product overview.

Highlights

  • 76 hosted collections across topics, each with its own page and a topic-based browser on the home page.
  • 10 reading languages: English plus zh-CN, zh-Hant, fr-FR, de-DE, es-ES, ja-JP, ko-KR, pt-BR, and ru-RU, all with full translated editions, search, and RSS feeds.
  • Close to the source. Hosted editions are reviewed mirrors of pinned upstream READMEs, with provenance and license links. Repositories that are not hosted open on GitHub.
  • Safe outbound links. Links to untrusted sites show a localized confirmation with the exact destination before you leave.
  • Static and fast. Built with Astro, Starlight, and Hagilight, and deployed as a plain static site.

How to use

  1. Open awesome.hagicode.com.
  2. Choose a topic from the topic browser on the home page, or search for a collection.
  3. Open a collection and read it. Use the language switcher to read it in any of the ten languages.
  4. Follow the link to the original source repository. Links to untrusted sites ask you to confirm the destination first.
  5. Subscribe to the RSS feed of your language to follow updates.

About

A static, multilingual curated awesome-list collection site built with Astro, Starlight, and Hagilight. Aggregates pinned upstream awesome lists (programming languages and AI/ML) into English and nine locale editions.

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Contributors

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