WenyuChiou/awesome-agentic-ai-zh resource

Health v2 · maintenance only

Flags: young

Adoption not part of the score

6416 stars · 857 forks observed · 2026-08-28

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

A trilingual (Traditional Chinese, Simplified Chinese, English) learning roadmap for agentic AI, structured into 8 stages from LLM basics to multi-agent systems, with 240+ curated resources and 23 hands-on exercises. It includes a glossary, setup guide, and an online documentation site, covering topics like prompt engineering, tool calling, MCP, RAG, and Claude Code.

Use cases

• learn how to build AI agents from scratch
• find a structured roadmap for agentic AI
• curated list of LLM agent resources in Chinese
• understand MCP and Claude Code ecosystem
• learn multi-agent system design
• beginner-friendly LLM learning path
• hands-on exercises for building agents
• compare agent frameworks like LangGraph and AutoGen

When to choose

• you want a structured, stage-by-stage path from LLM basics to multi-agent systems
• you prefer Chinese-language explanations with English terminology mapping
• you want curated, vetted resources instead of searching scattered tutorials
• you learn best with small hands-on starter exercises per stage

When to avoid

• you need production-ready agent code or a framework to deploy
• you want a comprehensive reference rather than a guided learning path
• you need deep coverage of a single advanced topic like RAG internals
• you only read English and find the trilingual layout noisy

Facets

learning-resource · maturity active

documentation developer-tools artificial-intelligence large-language-models tutorials awesome-lists education python cross-platform awesome-list learning-roadmap agentic-ai mcp prompt-engineering rag multi-agent-systems trilingual chinese claude-code ai-agents web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="WenyuChiou/awesome-agentic-ai-zh")