Complete Agent Learning Roadmap

Datawhale has released a comprehensive AI Agent learning roadmap, structuring the entire journey from the minimal Agent Loop to modern Agent Harnesses and security. Designed as a practical to-do list, the roadmap guides developers through systematic learning and hands-on projects covering the industry's hottest tech stacks.

The roadmap breaks down core components including the Agent Loop, tool calling, Retrieval-Augmented Generation (RAG), Memory, and major harnesses such as Claude Code, OpenClaw, and Hermes. It also integrates Skills, MCP and A2A protocols, along with crucial topics like evaluation, traceability, and security, offering a complete framework for building production-ready agents.

By organizing these elements into structured stages, Datawhale enables both newcomers and experienced practitioners to navigate the fast-evolving AI agent landscape with clear milestones. The resource emphasizes practical implementation, making it a valuable reference for hands-on projects and curriculum development.