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calls AI-Agents-Projects-Tutorials “Choose it for notebook projects on multi-agent memory, planning and reasoning loops; the seed is a broader full-stack learning path.”
🚀 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
calls AI-Agents-Projects-Tutorials “Choose it if you want a smaller collection of runnable agent project tutorials focused on multi-agent, memory, and planning.”
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
calls AI-Agents-Projects-Tutorials “choose when you want project-based multi-agent tutorials rather than a design-focused course”
Use agent to learn agent - A skeleton course on how to design, build, and operate production AI agents
calls AI-Agents-Projects-Tutorials “Use it for copy-paste multi-agent, memory and planning code samples instead of a structured written guide.”
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。