Educational Resource
43.1k 2026-05-07
datawhalechina/hello-agents
A comprehensive tutorial guiding users from foundational theories to practical implementation of AI-native intelligent agent systems.
Core Features
Deep understanding of agent concepts, history, and classic paradigms.
Hands-on implementation of agent frameworks and low-code platforms.
Guidance on building a custom AI agent framework from scratch.
Mastery of advanced techniques like Memory, RAG, Context Engineering, and Agentic RL.
Practical application through real-world case studies such as smart travel assistants.
Detailed Introduction
As the focus shifts from large language models to intelligent agent applications, there's a significant gap in systematic, practice-oriented tutorials. Hello-Agents, a Datawhale community project, addresses this by offering a comprehensive guide to building AI-native agents. It transcends framework superficialities, delving into core principles, architectures, and classic paradigms. The tutorial empowers users to become builders of multi-agent systems, covering everything from foundational theories to advanced techniques and practical project development.