Stars
Build ultra fast, tiny, and cross-platform desktop apps with TypeScript, Zig, Rust, Go, or Odin.
한국 문서를 읽고·고치고·새로 쓰는 AI 문서 도구 — HWP·HWPX·PDF·오피스·스캔(OCR)을 Markdown으로, 신구대조·서식 보존 편집·Markdown→HWPX 작성·HWP→HWPX 변환·양식 채우기·공문서 검수까지. 라이브러리·CLI·MCP | Read, diff, edit, write and convert Korean documents…
The fastest Python web framework, built on Django. Rust (Actix Web) HTTP server + async typed handlers + msgspec, with the full Django ORM, Admin, middleware and auth. 300k+ req/s, no gunicorn/uvic…
다이소·편의점 재고와 생활 정보를 AI에서 바로 조회하세요. 설치·API 키 없는 공개 MCP, 웹 링크 조회, CLI·Skill을 지원합니다.
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
요청 처리 과정을 명시적으로 드러내는 실행 중심 백엔드 프레임워크, Execution-centric backend framework that makes request handling explicit.
Vercel's official collection of agent skills
Claude Code plugins for power users
Open-source registry and CLI for Claude Code components: agents, commands, skills, hooks, MCPs, settings and mods
Context7 Platform -- Up-to-date docs for AI agents
A modern JavaScript utility library that's 2-3 times faster and up to 97% smaller, a major upgrade to lodash.
An extremely fast Python package and project manager, written in Rust.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
Anime Girls Holding Programming Books
A Tree Search Library with Flexible API for LLM Inference-Time Scaling
An extremely fast Python type checker and language server, written in Rust.
PDF Rendering stack deployed on AWS Lambdas
Python library for creating data pipelines with chain functional programming
Hands-on LangGraph course repo for building production-grade LLM agents with Agentic RAG, ReAct, and reflection workflows.
Lightweight Python logging tool for visual call tracing, tree-structured colored logs, and easy debugging with a simple decorator. Optimized for both standard and AI-generated codebases.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."