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A Claude Code plugin inspired by Andrej Karpathy's observations on LLM coding pitfalls. Provides four principles—Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution—to reduce overcomplication, prevent unwanted code changes, and ensure verifiable results when using AI for development.

32.0k
thedotmack/claude-mem

A Claude Code plugin that automatically captures, compresses, and retrieves session context using AI-powered memory compression. Provides persistent memory across sessions with intelligent search capabilities.

TypeScript
55.3k

A local-first, open-source voice cloning studio and free ElevenLabs alternative. Clone voices from short audio clips, generate speech in 23 languages via 5 TTS engines, and apply studio-grade audio effects. Features a multi-track editor for podcasts and a REST API. Built with Tauri for native speed and absolute data privacy.

TypeScript
17.1k

Create and share 3D architectural projects.

TypeScript
11.3k

MarkItDown is a lightweight Python utility by Microsoft for converting various file formats (PDF, Office docs, images, audio, etc.) to Markdown. Designed for LLMs and text analysis pipelines, it preserves document structure like headings, lists, tables, and links while remaining token-efficient.

Python
108.2k

Superpowers is an agentic skills framework that transforms AI coding assistants into structured developers. Provides 20+ proven skills for brainstorming, TDD, debugging, and subagent-driven development workflows across Claude Code, Codex, and Gemini.

Shell
152.0k

Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

Assembly
66.2k

An AI-powered hedge fund simulation with 18 investment analyst agents representing famous investors like Buffett, Graham, and Wood. Educational project for exploring AI-driven trading decisions using multiple LLMs and financial analysis techniques.

Python
54.0k

Kronos is the first open-source foundation model for financial K-lines (candlesticks), trained on data from over 45 global exchanges. It uses a two-stage tokenizer + Transformer architecture to perform price prediction, support fine-tuning on custom markets, and enable quantitative backtesting workflows.

Python
17.7k

Top Repositories

The most popular repositories on GitHub.

1

A curated collection of step-by-step tutorials teaching developers how to rebuild popular technologies from scratch. Covering 30+ topics including databases, compilers, operating systems, and game engines, it helps you master programming by creating your own versions of tools like Git, Docker, and Redis.

2

A curated list of awesome lists covering all kinds of interesting topics. This meta-list serves as the central directory for discovering high-quality resources on programming languages, frameworks, tools, and various technology domains.

3

freeCodeCamp.org's open-source codebase and curriculum. A friendly community where you can learn to code for free through thousands of interactive coding challenges, helping over 100,000 people land their first developer job.

4

A collectively curated list of free public APIs for software and web development. This extensive repository contains thousands of APIs across 100+ categories including animals, finance, health, music, news, science, sports, weather, and more. Maintained by the community and APILayer team.

5

A collaborative, multilingual collection of freely available programming books, courses, podcasts, and interactive tutorials. Maintained by the Free Ebook Foundation, it indexes thousands of learning resources across numerous programming languages and computer science topics.

6

OpenClaw is a self-hosted personal AI assistant that connects to WhatsApp, Telegram, Discord, iMessage and 20+ channels. Features voice wake, live canvas, browser automation, and runs on any OS with local-first privacy.

7

Community-driven interactive roadmaps, guides, and resources for developers. Covers frontend, backend, DevOps, AI, and more with clickable nodes for detailed learning paths and best practices.

8

Learn how to design large-scale systems. Prep for the system design interview. An organized collection of resources covering scalability, performance, availability, and common system design patterns with solutions and Anki flashcards.

9

A comprehensive computer science study plan for software engineering interviews. Covers data structures, algorithms, system design, and coding problems to prepare for tech giants like Google, Amazon, and Facebook.

10

A curated list of awesome Python frameworks, libraries, software and resources. Covers web frameworks, data analysis, machine learning, testing, and more.