Yuxi-Know and agent-craft
These two tools are ecosystem siblings, as both offer comprehensive educational resources and platforms for building AI agents, with the first providing a ready-made platform integrating a knowledge graph and LightRAG, while the second focuses on systematic full-stack practical code examples and tutorials for various frameworks including LangChain, RAG, and LangGraph.
About Yuxi-Know
xerrors/Yuxi-Know
结合LightRAG 知识库的知识图谱智能体平台。 An agent platform that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain v1 + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.
This platform helps organizations build powerful AI assistants that can understand and reason using your internal documents and structured knowledge. You input various documents like PDFs, Word files, or images, along with optionally defining relationships between concepts, and it outputs an intelligent agent capable of answering complex questions or generating reports based on this deep understanding. It's ideal for knowledge managers, researchers, or business analysts who need to leverage vast amounts of internal information effectively.
About agent-craft
Annyfee/agent-craft
AI Agent 教学仓库 | 系统化 LangChain、RAG、LangGraph、MCP 全栈实战代码 | 万字博客详解 | 开源可运行示例 | 从零构建智能体
This project is a systematic guide for developers looking to build sophisticated AI agents from scratch using Python. It takes you from basic large language model (LLM) calls to integrating advanced features like external tools and knowledge bases. You'll learn to create intelligent systems that can understand, reason, and act, ultimately deploying them as functional applications.
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