#263 · Primary category: Education & Research

ai-agents-from-zero

agent agent-framework agentic-ai ai-agent aigc coze cursor deepagents dify gpt langchain langgraph llm mcp rag skills tutorial

🚀 2026 最系统的 AI Agent 速成指南|智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

Project last updated:06/23/26

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MIT

Why we included this project

For anyone learning AI agent development, this repo bundles the scattered material into one ordered path, moving from prompting and RAG basics through LangChain, LangGraph, Dify, Coze, MCP, and fine-tuning. Two projects are built out end to end with runnable source code: a natural-language store analytics agent backed by MySQL and vector search, plus a multi-agent deep-research tool. That matters because the theory has something concrete to attach to. The interview question bank follows the same topics, so it is practical for people switching careers or aiming at AI application development roles. One honest caveat: this is a teaching curriculum rather than an installable library, so treat it as a syllabus and a collection of runnable examples, not as a dependency for your own application.

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