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A multimodal AI Agent stack including Agent TARS (CLI and Web UI) and UI-TARS Desktop application. Enables natural language control of your computer, browser, and terminal through GUI automation and computer vision, supporting MCP tools integration.

TypeScript
33.3k

Stealth Chromium that passes every bot detection test. Drop-in Playwright replacement with source-level fingerprint patches. 30/30 tests passed.

Python
6.8k

An open-source AI-powered content marketing platform for creators and OPCs (One-Person Companies). Automates content creation, cross-platform publishing to 12+ social platforms, AI-powered engagement, and monetization through CPS/CPE/CPM models. Integrates with Claude, Cursor, and other MCP-compatible AI assistants. Features one-click Docker deployment.

TypeScript
11.3k
playcanvas/supersplat

3D Gaussian Splat Editor

TypeScript
7.5k

An open-source interactive course for beginners to master AI coding (vibe coding) from scratch. Covers product prototyping, full-stack development, and Claude Code advanced workflows with 80+ interactive topics across 9 knowledge areas. Multilingual support with step-by-step visual tutorials.

JavaScript
10.2k

9Router is an AI routing gateway and token saver for developers. It connects Claude Code, Cursor, Codex, Copilot, Cline, and other AI coding tools to 40+ AI providers and 100+ models via a single OpenAI-compatible endpoint. Features include RTK token compression (save 20-40% tokens), smart 3-tier fallback (subscription → cheap → free), real-time quota tracking, and multi-account support with automatic OAuth token refresh.

JavaScript
8.8k

Your Personal AI super intelligence. Private, Simple and extremely powerful.

Rust
1.8k

Your agent writes bad React. This catches it

TypeScript
8.3k

An open-source LLM tutorial series from Shanghai Jiao Tong University, covering 11 core topics including fine-tuning, prompting, knowledge editing, math reasoning, jailbreak, multimodal models, agent safety, and RLHF alignment, with complete slides, guides, and Jupyter notebooks for hands-on learning.

Jupyter Notebook
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Top Repositories

The most popular repositories on GitHub.

1

A comprehensive collection of step-by-step tutorials for rebuilding popular technologies from scratch. Covers databases, operating systems, programming languages, web servers, AI models, and more across multiple languages. Perfect for developers seeking to deeply understand core tech principles through hands-on implementation.

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.