GitHub Daily Top 10 @2025-04-17

[dailytop10]

1. virattt / ai-hedge-fund

   An AI Hedge Fund Team

   1,590 stars today | 24,093 stars | 4,200 forks | Python

2. Anduin2017 / HowToCook

   程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

   1,010 stars today | 72,542 stars | 9,044 forks | Dockerfile

3. Anxcye / anx-reader

   Featuring powerful AI capabilities and supporting various e-book formats, it makes reading smarter and more focused. 集成多种 AI 能力，支持丰富的电子书格式，让阅读更智能、更专注。

   133 stars today | 3,982 stars | 212 forks | Dart

4. vanna-ai / vanna

   🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.

   404 stars today | 15,960 stars | 1,426 forks | Python

5. fuma-nama / fumadocs

   The beautiful docs framework with Next.js.

   574 stars today | 4,884 stars | 268 forks | TypeScript

6. DioxusLabs / dioxus

   Fullstack app framework for web, desktop, mobile, and more.

   51 stars today | 26,702 stars | 1,057 forks | Rust

7. opf / openproject

   OpenProject is the leading open source project management software.

   43 stars today | 10,564 stars | 2,548 forks | Ruby

8. yeongpin / cursor-free-vip

   [Support 0.48.x]（Reset Cursor AI MachineID & Bypass Higher Token Limit） Cursor Ai ，自动重置机器ID ， 免费升级使用Pro功能: You've reached your trial request limit. / Too many free trial accounts used on this machine. Please upgrade to pro. We have this limit in place to prevent abuse. Please let us know if you believe this is a mistake.

   1,032 stars today | 17,942 stars | 2,139 forks | Python

9. Zackriya-Solutions / meeting-minutes

   A free and open source, self hosted Ai based live meeting note taker and minutes summary generator that can completely run in your Local device (Mac OS and windows OS Support added. Working on adding linux support soon) https://meetily.zackriya.com/

   384 stars today | 3,341 stars | 232 forks | C++

10. NirDiamant / RAG_Techniques

    This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

    252 stars today | 14,460 stars | 1,475 forks | Jupyter Notebook