GitHub 趋势 | 2026-10-11

2026-10-11 GitHub 热门仓库

今日热门

1. morluto/rea ⭐ 73,369(今日 +25,793) · TypeScript

Reverse engineer anything with agents, from app behavior down to native binaries.

2. boykopovar/AnyPS5 ⭐ 26,942(今日 +5,805) · C++

Tool for automatic PS5 executables porting to Linux and Windows

3. storytold/artcraft ⭐ 14,567(今日 +3,222) · Rust

ArtCraft is an intentional crafting engine for artists, designers, and filmmakers

4. cathrynlavery/diagram-design ⭐ 48,983(今日 +1,190) · HTML

Editorial diagram design for Claude Code, Codex, GitHub Copilot, Cursor, Factory Droid, and Pi. 44 diagram types. Self-contained HTML + SVG. No shadow…

5. mksglu/context-mode ⭐ 26,327(今日 +178) · TypeScript

Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platf…

6. mattpocock/skills ⭐ 284,533(今日 +1,736) · Shell

Skills for Real Engineers. Straight from my .agents directory.

7. flutter/flutter ⭐ 179,531(今日 +88) · Dart

Flutter makes it easy and fast to build beautiful apps for mobile and beyond

8. tensorflow/tensorflow ⭐ 200,729(今日 +26) · C++

An Open Source Machine Learning Framework for Everyone

9. hugohe3/ppt-master ⭐ 59,485(今日 +461) · Python

AI turns documents or topics into real, native PowerPoint decks—with native shapes, transitions and animations, data-backed charts and tables on deman…

10. pytorch/pytorch ⭐ 104,146(今日 +84) · Python

Tensors and Dynamic neural networks in Python with strong GPU acceleration

11. huggingface/transformers ⭐ 167,271(今日 +96) · Python

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both in…

12. anthropics/knowledge-work-plugins ⭐ 28,830(今日 +625) · Python

Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork

13. multica-ai/andrej-karpathy-skills ⭐ 218,297(今日 +278)

A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy’s observations on LLM coding pitfalls.

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