didilili/ai-agents-from-zero resource

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4094 stars · 579 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A comprehensive open-source Chinese-language tutorial and learning roadmap for building AI agents and LLM applications, covering LangChain, LangGraph, Coze, Dify, MCP, RAG, prompting, fine-tuning, and enterprise deployment. It includes runnable source code, two complete hands-on projects, and an interview question bank aligned with AI application engineer job requirements.

Use cases

• learn to build AI agents from scratch
• study LangChain and LangGraph with runnable examples
• prepare for LLM application developer interviews
• build a RAG chatbot over e-commerce data
• learn multi-agent deep research systems
• understand MCP and agent skills
• find a structured alternative to paid AI bootcamps

When to choose

• you want a free, systematic, continuously updated AI agent curriculum
• you prefer the Python ecosystem over Java-based stacks
• you need end-to-end coverage from basics to enterprise deployment
• you want project source code plus interview prep in one place

When to avoid

• you need production-grade software rather than educational material
• you only read English, since the content is in Chinese
• you want a Java or Spring AI focused curriculum
• you need official framework documentation instead of a guided course

Facets

learning-resource · maturity active

agent-framework rag prompt-engineering llm-inference mcp developer-tools artificial-intelligence large-language-models tutorials python cross-platform ai-agents langchain langgraph coze dify interview-preparation chinese-language hands-on-projects roadmap retrieval-augmented-generation natural-language-processing

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markdown · JSON · MCP: product_card(name="didilili/ai-agents-from-zero")