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datawhalechina/hello-agents

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cached 2026-03-30T16:01:01.918Z
1mo ago

datawhalechina/hello-agents

datawhalechina/hello-agents is an active, highly forked and starred Chinese open-source learning project about building AI agents from scratch. It is primarily a documentation/tutorial site for learning agent principles, classic patterns, framework use, and building multi-agent applications, with an online reading site and both Chinese and English README files.

GitHub
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Stars32,176
Forks3,633
Default branchmain
Last pushed2026-03-30T09:37:31Z
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Prefer the upstream repository unless you specifically need a frozen snapshot. This fork does not show added value over upstream and is substantially behind it.

Prefer upstream unless you specifically want this fork’s small Chapter 7 wording fix or a personal copy to annotate. For adopters, this looks like a minimal maintenance fork, not a differentiated distribution.

Choose upstream unless you specifically need this fork as a personal mirror. This fork adds no visible capabilities and is already lagging behind active upstream development, so it is a weaker choice for new adopters.

Prefer upstream unless you need a frozen mirror. This fork adds no visible capabilities and is substantially behind, so it is a poor choice for anyone wanting the latest learning content or active maintenance.

Choose upstream unless you explicitly need this older snapshot. This fork offers no concrete new capability and is behind enough that it misses meaningful recent tutorial and project updates.

Prefer this fork if you want a more product-like, interactive AI-agent application and are okay trading away upstream freshness. Prefer upstream if you want the broad, actively maintained learning curriculum.

Prefer upstream unless you explicitly want a static snapshot. This fork adds no visible features and is materially behind, so it is useful mainly as a reference copy, not as the version to adopt for current learning or contribution.

Choose this fork only if you want a clean, low-risk mirror of the upstream tutorial. If you want the latest material or extra capabilities, upstream is the better choice.

Choose this fork only if you want a near-identical copy of upstream for private experimentation or future customization. If you want the latest learning content and fixes, upstream is the better default.

Prefer this fork only if you want a clean, almost identical copy for your own experimentation. If you want the most complete and current version of the tutorial, upstream is the better choice because this fork adds nothing and is already behind.