#6262nd of 88 in Learning and cookbooks
agent-learning-hub
Staged AI agent learning roadmap with checklists and project ideas
- Stars
- 9.3k
- License
- MIT
- Last commit
- Jul 2026
- Language
- HTML
7 on 12 May 20269,347 on 10 Nov 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
A README-only curated roadmap for learning to build AI agents, written mostly in Chinese with English headings. It runs from Stage 0 (what an agent is) to Stage 8 (shipping), with todo checkboxes, a ladder of 11 projects, and link tables to official docs, papers and open-source repos. It favors coding agents, harness engineering, skills and MCP over older role-play multi-agent frameworks.
Who it is for: Developers learning to build and evaluate LLM agents, esp. Chinese readers
Strengths
- Each stage ends with a concrete deliverable, such as a 50-150 line agent or a 20-task eval table
- Project ladder of 11 builds, from a calculator agent to a production harness
- Links to primary sources: vendor docs, arXiv papers and reference repos
- States clear opinions on what to deprioritize, such as CrewAI and AutoGen
Weaknesses
- No runnable code in the repo; it is checklists and link tables
- Most explanatory text is in Chinese, which limits English-only readers
- Tilted toward Claude Code and OpenClaw-style tooling, reflecting the maintainer's view
- Link lists go stale as the field changes; no releases or versioning
What it needs
- no GPU
Quick answers
Is agent-learning-hub open source?
Yes. Its code is on GitHub under the MIT license.
Does agent-learning-hub need a GPU?
No, it runs without one.
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