didilili/ai-agents-from-zero Alternatives

Choose it for an English-language, MIT-licensed curriculum; the seed is the better pick for Chinese-speaking readers who also want interview prep.

Learn it. Build it. Ship it for others.

Pick it when you want the Datawhale community's from-zero agent construction notes; the seed bundles more production project code and interview material.

📚 《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 it for 50+ runnable English Jupyter notebooks on agent techniques; the seed instead covers low-code Coze/Dify and hiring-oriented content.

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

Choose it when you need deployment, ops and production hardening walkthroughs; the seed is stronger on foundational LangChain/LangGraph basics.

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

Choose it for an MDX-site format covering LangGraph, RAG and interview banks; the seed adds full e-commerce and multi-agent project code.

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 | 算法工程师 | 面试题库 | 强化学习｜数据合成

Choose it for notebook projects on multi-agent memory, planning and reasoning loops; the seed is a broader full-stack learning path.

Multi-agent systems, memory, planning, reasoning loops

Choose it if you prefer an HTML site to read; the seed is a Python-repo course that also ships an interview bank.

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 it for a vendor-run course with graded notebook units and certification; the seed is community-run and covers Coze/Dify and Chinese-market material.

This repository contains the Hugging Face Agents Course.

Choose it for a JavaScript-based skeleton course on operating production agents; the seed is Python-centric with more runnable project code.

Use agent to learn agent - A skeleton course on how to design, build, and operate production AI agents

Choose it for runnable LangChain/LangGraph/MCP code samples; the seed adds interview banks and low-code Coze/Dify coverage.

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

Choose it for deeper LangGraph/Deep Agents material from LangChain ambassadors; the seed covers a wider tool and interview scope.

📚 《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 it for a book-length, theory-first treatment shipped as PDF plus per-chapter code; the seed is faster to skim as copy-paste tutorials.

《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

Pick it when you need system-design and eval framing for production AI rather than step-by-step LangChain code.

AI system design guide for engineers building production AI systems and evals.

Choose it for AI-tool usage, prompt lists and vibe-coding walkthroughs; the seed is an engineering course that builds an agent end to end.

程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude / GLM）、最新 AI 资讯、Prompt 提示词大全、AI 知识百科（Agent Skills / RAG / MCP / A2A）、AI 编程教程（Harness Engineering）、AI 工具用法（Cursor / Claude Code / TRAE / Codex / Copilot）、AI 开发框架教程（Spring AI / LangChain）、AI 产品变现指南，帮你快速掌握 AI 技术，走在时代前沿。本项目为开源文档 aiguide，已升级为鱼皮 AI 导航网站

Use it if you want a lighter, interview-oriented guide with a smaller code footprint; the seed carries deeper hands-on project source.

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。

Use it for interview-question drilling across CV, NLP and AIGC; the seed is a build-and-ship project tutorial.

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

Use it if you need Korean-language LangChain docs; it is scoped to LangChain only and last pushed over a year ago.

LangChain 공식 Document, Cookbook, 그 밖의 실용 예제를 바탕으로 작성한 한국어 튜토리얼입니다. 본 튜토리얼을 통해 LangChain을 더 쉽고 효과적으로 사용하는 방법을 배울 수 있습니다.

Use it for short LLM/LangChain sample scripts; it lacks the seed's agent architecture, deployment and interview coverage.

Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone