datawhalechina/Agent-Learning-Hub resource

Health v2 · maintenance only

Flags: no_releases young

Adoption not part of the score

7105 stars · 743 forks observed · 2026-08-28

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

A curated AI Agent learning roadmap and resource collection maintained by Datawhale, organized as an actionable todo list with stages from basic agent loops to evaluation and safety. It aggregates official docs, papers, blog posts, and open-source projects into a structured path for building reliable agents.

Use cases

• learn how to build AI agents from scratch
• find a structured roadmap for LLM agent development
• understand agent loops and tool calling
• study agent evaluation and safety practices
• find curated papers and projects about AI agents
• decide when to use an agent versus a workflow

When to choose

• you want a step-by-step curriculum for learning AI agent engineering
• you need curated, opinionated resources instead of random link dumps
• you are a beginner or an LLM developer filling gaps in tool use, RAG, memory, or evals

When to avoid

• you need runnable agent code or a framework rather than a guide
• you want a comprehensive textbook-style reference with exercises and grading
• you only want role-play multi-agent framework tutorials, which the repo explicitly deprioritizes

Facets

learning-resource · maturity active

agent-framework llm-inference rag prompt-engineering mcp developer-tools artificial-intelligence large-language-models tutorials awesome-lists learning-roadmap curated-resources ai-agents study-guide datawhale chinese web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="datawhalechina/Agent-Learning-Hub")