Technical Learning Guide
37.9k 2026-04-17

datawhalechina/hello-agents

A comprehensive tutorial guiding users from foundational principles to practical implementation of AI-native agent systems.

Core Features

Deep understanding of AI agent concepts, history, and paradigms.
Hands-on implementation of classic agent patterns and custom frameworks.
Mastery of advanced techniques like Memory, RAG, and Context Engineering.
Practical experience with Agentic RL for LLM training.
Development of real-world multi-agent applications.

Detailed Introduction

Hello-Agents is a comprehensive tutorial from the Datawhale community, addressing the scarcity of systematic, practice-oriented guides for building AI-native agent systems. It distinguishes itself from software-engineering-driven agents by focusing on AI-driven approaches. The project guides learners from foundational theories and classic paradigms to hands-on implementation, including building a custom agent framework. It covers advanced topics like memory, RAG, context engineering, and Agentic RL, culminating in the development of real-world multi-agent applications, transforming users into proficient agent system builders.

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