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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.

47.1k
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
58.8k

GenericAgent is a minimal, self-evolving autonomous agent framework (~3K lines). Through 9 atomic tools, it grants any LLM full system control—browser, terminal, ADB, keyboard/mouse. Instead of preloading skills, it crystallizes each task into reusable workflows, growing smarter with every use. Supports WeChat, QQ, Telegram, DingTalk and more.

Python
2.5k

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
18.8k

Open Agents is an open-source reference app by Vercel Labs for building background coding agents. It features a chat-driven AI coding workflow with isolated sandbox execution, durable multi-step tasks, GitHub integration for auto-commit and PR creation, and a web UI—going from prompt to code changes without keeping your laptop on.

TypeScript
3.0k

AI-powered file type detection tool with high accuracy and speed. Supports multi-language integration (Python/Go/Rust/JS) for security analysis, data validation, and automated workflows. Detects 100+ file formats with minimal false positives.

Python
14.3k

WhatsApp CLI

Go
1.5k
topoteretes/cognee

Cognee is an open-source knowledge engine that transforms documents into AI memory infrastructure. It combines vector search, graph databases, and cognitive science to provide contextual understanding for AI agents. Features include unified ingestion, persistent learning agents, and reliable knowledge management.

Python
15.6k

DFlash: Block Diffusion for Flash Speculative Decoding

Python
1.5k

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.