adongwanai/AgentGuide Alternatives

Choose when you want a JavaGuide-style AI application/interview guide covering LLM, Agent, RAG, and MCP.

AI 应用开发、AI 编程实战与面试指南，涵盖 LLM、Agent、RAG、MCP、Claude Code、Codex 等核心技术与工程实践。

Choose when you want a one-stop Chinese agent guide with learning path, projects, and interview questions.

🚀 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

Choose when you want a complete open-source book with code rather than a curated resource list.

《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

Choose when you want a project-driven from-scratch AI engineering curriculum instead of a curated career guide.

Learn it. Build it. Ship it for others.

Choose when you want an original step-by-step agent tutorial instead of an aggregated job-prep guide.

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 | 系统、全面、实战导向的 Agent 开发教程 | 每日自动追踪 arXiv 最新论文 | Learn AI Agent Development from Scratch

Choose when you want Datawhale's practical agent-building tutorial instead of a job-oriented resource hub.

📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

Choose when you need runnable code for 35 agent architectures instead of a broad guide and interview prep.

35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.

Choose when you want a focused 0-to-1 harness engineering tutorial.

Harness engineering beginner tutorial, from 0 to 1

Choose when you want an in-depth Claude Code architecture/harness book.

《御舆：解码 Agent Harness》42万字拆解 AI Agent 的Harness骨架与神经 —— Claude Code 架构深度剖析，15 章从对话循环到构建你自己的 Agent Harness。在线阅读网站：

Choose when you want to build a nano claude-code-like harness from scratch.

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

Choose when you want a source-code deep dive into Claude Code internals.

Deep dive into Claude Code internals — architecture, agent loop, context engineering, and more. / 深入解析 Claude Code 源码：架构、Agent 循环、上下文工程、工具系统等

Choose when you are building with LangChain/LangGraph and want an ecosystem-specific production guide.

📚 《Deep Agents 实战》—— LangChain 官方大使出品，基于 LangChain / LangGraph 生态，从零构建生产级 AI Agent 的完整指南

Choose when you are preparing for Java backend/AI Agent interviews specifically.

公开的 Java 后端 / AI Agent / 系统设计 / 算法面试复习资料库

Choose when you need a RAG-only full-stack guide rather than general agent/interview content.

🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/

Choose when you want a LangChain/LangGraph open tutorial rather than a career guide.

LangChain, LangGraph Open Tutorial for everyone!

Choose when you want beginner LLM application development basics rather than agent-specific content.

本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/