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Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
Curated coding interview preparation materials for busy software engineers
《Agentic Design Patterns》中文翻译版
The ultimate LLM/AI application development framework in Golang.
🛠️ DeepAgent: A General Reasoning Agent with Scalable Toolsets
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Breakthrough Method for Agile Ai Driven Development
An alignment auditing agent capable of quickly exploring alignment hypothesis
Specification and documentation for the Model Context Protocol
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?
LLM agents built for control. Designed for real-world use. Deployed in minutes.
A powerful coding agent toolkit providing semantic retrieval and editing capabilities (MCP server & other integrations)
Best Claude Code framework that actually save time. Built by a dev tired of typing "please act like a senior engineer" in every conversation.
21 Lessons, Get Started Building with Generative AI
Build resilient language agents as graphs.
An open-source AI agent that brings the power of Gemini directly into your terminal.
An open-source AI agent that lives in your terminal.
🔥 The Web Data API for AI - Turn entire websites into LLM-ready markdown or structured data
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
The complete stack for AI Engineers: framework, runtime and control plane.
最新Claude Pro订阅教程：如何注册Claude账号？如何订阅Claude Pro会员？如何购买Claude Pro原生独立账号？如何为你现有的Claude充值？(含Claude Code国内使用教程)
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflo…
🔥 Clone and recreate any website as a modern React app in seconds
Pytorch domain library for recommendation systems