Hello-Agents: build agents in Chinese

by Sizhou Chen, Tao Sun, Shufan Jiang and Datawhale contributors

Read the original →

Chinese explanations and code move from model calls to ReAct, planning and reflection.

Hello-Agents teaches agent construction through Chinese chapters and accompanying Python implementations. Its classic-paradigms chapter builds the model client and tool loop before contrasting planning and reflection; later chapters extend to retrieval, memory and evaluation. Start with basic Python and an understanding of model APIs. Reading is free; running a chosen backend may consume compute or service credits.

Level
Intermediate
Models
any
Category
Agents and harnesses
Tags
practical-guide
Source date
date not stated
Added
2026-10-18
Last verified
2026-10-18
Status
ok
Prerequisites
The authors explicitly require basic Python and familiarity with calling an LLM API; a from-zero title does not make this a no-code beginner resource.
Subcategory
agent design patterns
Region
CN
Original language
zh
Access
free
Resource reuse
closed: CC BY-NC-SA 4.0: attribution, noncommercial use and share-alike required. Free reading does not imply unrestricted reuse. Facet definitions

Summary in our own words. Rights remain with the original creator. Credit and correction policy.

Plain-text Markdown copy