GitHub Trending: Week of Apr 05 – Apr 12, 2026

💅🏻 ⚒ A collection of awesome design systems

💡 Explore the best design systems for your next project! 🚀 #designsystems #webdevelopment

The open-source managed agents platform. Turn coding agents into real teammates — assign tasks, track progress, compound skills.

💡 Revolutionize your development process by turning AI into a real teammate with Multica - no more babysitting runs or copy-pasting prompts!

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

💡 Transform your coding experience with goose - the AI agent that goes beyond code suggestions to automate workflows. #AI #DevTools

Open-source AI coworker, with memory

💡 Transform your work into a knowledge graph with Rowboat, an AI coworker that remembers and acts on context to help you get things done. #RowboatLabs

Create Reddit Videos with just✨ one command ✨

💡 Transform your Reddit posts into eye-catching videos with just one command! 🎥✨ #RedditVideoMakerBot

所有小初高、大学PDF教材。

💡 Unlock the power of free education with our comprehensive collection of Chinese textbooks. Dive in and share knowledge!

VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning

💡 Transform text into lifelike speech across 30 languages with VoxCPM2, the tokenizer-free TTS system that's changing voice synthesis.

mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local

💡 🚀 Discover QMD, the ultimate local search engine for your documents and notes. No more sifting through files; find what you need instantly with AI-powered search! #QMD

PersonaPlex code.

💡 Transform your voice with PersonaPlex, the real-time conversational AI model that lets you control persona and voice through text prompts. #ConversationalAI

LLM inference in C/C++

💡 🚀 Dive into the world of LLM inference with #llama.cpp - a lightweight, high-performance library for running large language models locally or in the cloud. #AI