head to head · open source
generative-ai-for-beginners vs agency-agents-zh
generative-ai-for-beginners has 119,980 GitHub stars, 63,157 forks, 23 open issues and last shipped yesterday. agency-agents-zh has 20,772 stars, 3,353 forks, 1 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 478% (119,980 vs 20,772 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; agency-agents-zh is written in Shell under MIT. generative-ai-for-beginners has attracted 53% as many forks as stars, agency-agents-zh 16%. agency-agents-zh was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| generative-ai-for-beginners | agency-agents-zh | |
|---|---|---|
| GitHub stars | ★ 120K | ★ 21K |
| License | MIT | MIT |
| Written in | Jupyter Notebook | Shell |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 63K | ⑂ 3.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick generative-ai-for-beginners if
- You weight community size — 120K stars and counting
- You want the MIT license terms
- Your stack matches Jupyter Notebook
- You value the larger contributor base for long-term maintenance
pick agency-agents-zh if
- You want the agency-agents-zh feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Shell
- You evaluated both and agency-agents-zh fits your workflow better
About generative-ai-for-beginners
Generative AI for Beginners is Microsoft's free, MIT licensed curriculum of 21 Jupyter Notebook lessons that teaches developers how to start building generative AI applications, aimed at newcomers who want a structured, self paced path instead of scattered documentation.
read the full generative-ai-for-beginners overview →
About agency-agents-zh
agency agents zh is a Chinese language registry of 277 plug and play AI expert roles, built for individual developers, small teams, and China market operators who want named specialists with their own personas and deliverables driving tools such as Claude Code, Cursor, and Copilot.
read the full agency-agents-zh overview →
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Frequently asked questions
Is generative-ai-for-beginners or agency-agents-zh more popular?
generative-ai-for-beginners has 119,980 GitHub stars and agency-agents-zh has 20,772. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and agency-agents-zh free?
Both are open source. generative-ai-for-beginners is licensed under MIT and agency-agents-zh under MIT. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and agency-agents-zh?
generative-ai-for-beginners is written in Jupyter Notebook and agency-agents-zh in Shell. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, generative-ai-for-beginners or agency-agents-zh?
Choose generative-ai-for-beginners if you want the larger community (119,980 stars) or its MIT licence terms. Choose agency-agents-zh if its feature set, stack or MIT licence fits better. Both are self-hostable.