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Agent-Learning-Hub by DataWhale is a systematic learning roadmap and resource repository for AI Agent development, featuring 8 learning stages and 11 progressive projects to help developers build reliable AI agents from scratch. It has gained 3.9k+ stars.
Recommend the free and open-source tutorial 'Building an Agent from Scratch', which systematically explains AI Agent principles and practice, covering mainstream frameworks such as ReAct, AutoGen, LangGraph, and multiple hands-on projects. It has received 53,000+ stars.
Datawhale's open-source tutorial "Building Agents from Scratch" covers memory systems, RAG, context engineering, etc. in 16 chapters, including the HelloAgents framework, suitable for learners who want to deeply understand the internal mechanisms of agents.
Datawhale's open-source project, hello-agents, is gaining rapid popularity on GitHub. It aims to systematically teach developers the core principles, multi-agent collaboration, and system design required to build AI Agents from scratch, going beyond mere API usage.