datawhalechina/hello-agents resource

Health v2 · maintenance only

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75072 stars · 9325 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Hello-Agents is a free, open-source tutorial from the Datawhale community that teaches how to build AI-native intelligent agents from scratch, covering core principles, classic paradigms, and hands-on implementation. It includes building a custom agent framework on OpenAI-native APIs, plus advanced topics like memory, context engineering, evaluation, and agentic RL training.

Use cases

• learn how to build AI agents from scratch
• understand agent architectures and paradigms
• build a multi-agent application hands-on
• train LLMs with agentic RL from SFT to GRPO
• prepare for AI agent job interviews
• learn RAG and memory systems for agents
• study context engineering and agent evaluation

When to choose

• you want a structured, theory-plus-practice agent course
• you prefer learning by building your own framework rather than using low-code tools
• you want free community-maintained educational content on LLM agents

When to avoid

• you need a production-ready agent framework rather than a tutorial
• you only want drag-and-drop low-code agent builders like Dify or Coze
• you need a permissively licensed library for commercial use

Facets

learning-resource · maturity active

agent-framework rag llm-training prompt-engineering developer-tools large-language-models tutorials education python cross-platform tutorial agents llm datawhale open-course chinese hands-on multi-agent ai-agents retrieval-augmented-generation

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For agents

markdown · JSON · MCP: product_card(name="datawhalechina/hello-agents")