adongwanai/AgentGuide

Project overview

A job-oriented open-source learning and interview guide for AI agent developers. It consolidates fragmented educational resources into a systematic path covering LangGraph, advanced RAG, and context engineering, but is not a production agent runtime.

Project type

AI Agent · RAG

Use cases

Learning & Education

Deployment

Refer to project documentation

License

License pending

Best for

• Developers, AI engineers, and educators looking for a structured learning path and interview preparation resources for AI agent technologies.

Key capabilities

• Provides an AI agent interview question bank with over 1000 questions and resume writing guides to support job hunting.
• Includes practical project guidance such as Paper Agent, Travel Agent, and Web Agent to help users build portfolio-ready applications.
• Covers core AI agent technologies including LangGraph, RAG, Context Engineering, SFT, and Reinforcement Learning.

Limitations and risks

• The project is an educational tutorial and resource guide, not a production agent runtime or deployable application.

Getting started

• Visit the hosted documentation at https://adongwanai.github.io/AgentGuide. No local setup or coding is required to begin.

Evidence and sources

• GitHub project description: https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试
• README: 本项目定位：资源整合 + 系统化路径 + 实战导向
• README: 看了无数篇 LangChain 文档，却依然不知道从哪里开始
• README: 想转 AI Agent 方向，但不知道算法岗和开发岗应该准备什么
• README: 完全开源

Reviewed at: 2026-07-18T06:47:37Z