#large-language-models

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《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码

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Build and run agents you can see, understand and trust.

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Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control…

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Machine Learning Engineering Open Book

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Learn AI and LLMs from scratch using free resources

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Observal is self-hosted registry for your coding agent extensions with a built in insight engine. Setup Observal, define the scope and share your Skills, MCPs and Agents with…

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A Minecraft MCP Server powered by Mineflayer API. It allows to control a Minecraft character in real-time, allowing AI assistants to build structures, explore the world, and…

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Querying local documents, powered by LLM

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A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.｜从零开始学 AI Agent 开发…

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Your First LLM-Wiki Conversation Knowledge Base

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Govern & Secure your AI

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A curated collection of resources for Azure OpenAI, LLMs (+RAG, Agents). Monthly Updates.

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A Model Context Protocol (MCP) server that provides tools to query Erick Wendel's contributions across different platforms

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A Ruby implementation of the Model Context Protocol

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Model eXecution + Context Protocol: Enterprise-Grade Data-to-AI Infrastructure

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A Nuclei security scanning server based on MCP (Model Control Protocol), providing convenient vulnerability scanning services.一个基于 MCP (Model Control Protocol) 的 Nuclei…