ai
A systematic reasoning MCP server implementation for Claude Desktop with beam search and thought evaluation.
Specification and documentation for the Model Context Protocol
Bash is all You need - Write a nano Claude Code 0 - 1
Kimi K2 is the large language model series developed by Moonshot AI team
An AI-powered custom node for ComfyUI designed to enhance workflow automation and provide intelligent assistance
Kiro is an agentic IDE that works alongside you from prototype to production.
A configuration framework that enhances Claude Code with specialized commands, cognitive personas, and development methodologies.
Context engineering is the new vibe coding - it's the way to actually make AI coding assistants work. Claude Code is the best for this so that's what this repo is centered around, but you can apply…
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team.
An open-source AI agent that lives in your terminal.
Intelligent automation and multi-agent orchestration for Claude Code
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspi…
"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"
Repo to accompany my mastering LLM engineering course
Open-source CLI coding agent, a free alternative to Claude Code. Generate, debug, and manage code seamlessly.
Mobile-Agent: The Powerful GUI Agent Family
仅需Python基础，从0构建大语言模型；从0逐步构建GLM4\Llama3\RWKV6， 深入理解大模型原理
LLMs-from-scratch项目中文翻译
Get 10X more out of Claude Code, Codex or any coding agent
LLM agents built for control. Designed for real-world use. Deployed in minutes.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, i…
Multi-Language Backend Framework that unifies APIs, background jobs, queues, workflows, streams, and AI agents with a single core primitive with built-in observability and state management.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)