@gyro_ai: Most people learn about agents either staying at the conceptual level or jumping directly into frameworks, leaving the middle layer—"why design it this way"—empty. On GitHub, the book "Building Agents from Scratch" by Datawhale covers 16 chapters from basics to multi-agent systems, with its own HelloAgents framework to learn by doing…

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Summary

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.

Most people learn about agents either staying at the conceptual level or jumping directly into frameworks, leaving the middle layer—"why design it this way"—empty. On GitHub, the book "Building Agents from Scratch" by Datawhale covers 16 chapters from basics to multi-agent systems, with its own HelloAgents framework to learn by building. • Covers memory systems, RAG, context engineering, agent training • Includes complete hands-on projects like a travel assistant and simulated social environment • Also compares mainstream frameworks such as Coze, Dify, LangGraph, AutoGen Implemented in Python, with theory and code advancing together, suitable for those who want to truly understand the internal mechanisms of agents. GitHub: https://github.com/datawhalechina/hello-agents…
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Hello-Agents

🤖 Building Agents from Scratch

From foundational theory to practical application, master the design and implementation of agent systems.

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