datawhalechina/Agent-Learning-Hub

AI Agent 学习路线与资料库收集

Learning & listsHTML

2.0 Steady Magnitude out of 10. Star growth looks organic. Data as of September 14, 2026.

About the project

A curated AI Agent learning roadmap: an 8-stage todo list with links to official docs, papers, and open-source projects for people who want to build reliable agents instead of collecting random links.

Useful for

Complete Stage 1 and write a minimal 50-150 line agent loop with tool calls.
Build a research assistant from Stage 2: search, filter, summarize, and cite sources.
Study one agent harness in Stage 3 and add your own tool to it.

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

Why it’s trending

26 stars today.
Top new repositories in the last 4 months: #49.

Stars per day

Bars are daily stars, the line is the usual pace. Red marks spike days.

Numbers

Total stars: 7,817
Stars in a day: 26
Forks: 800
Issues and pull requests: 17
Watchers: 15
Language: HTML
License: MIT
Created: May 17, 2026
Last push: July 19, 2026

Star trust

Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.

These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.

Spotted in

September 13, 2026Top new repositories in the last 4 months: #49

README badge

Paste it into your README — the badge shows the current magnitude and links to this page.

[![Seismograph](https://gitnova.dev/badge/datawhalechina/Agent-Learning-Hub.svg?lang=en)](https://gitnova.dev/en/r/datawhalechina/Agent-Learning-Hub)

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