didilili/ai-agents-from-zero — 🚀 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 / LangGrap…

Description and use

The **didilili/ai-agents-from-zero** repository is a comprehensive, up‑to‑date guide for building production‑grade AI agents in 2026. It offers a full learning path—including tutorials, hands‑on projects, interview question banks, and enterprise‑level deployment/finetuning—covering major frameworks such as LangChain, LangGraph, Coze, Dify, MCP, as well as skills, LLMs, RAG, and prompt engineering. The material is designed to take developers from zero experience to a job‑ready AI agent engineer capable of delivering end‑to‑end solutions.

Problem

didilili/ai-agents-from-zero helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

🚀 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

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