head to head · open source
generative-ai-for-beginners vs Agently
generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. Agently has 1,659 stars, 184 forks, 15 open issues and last shipped 21 days ago. generative-ai-for-beginners leads on adoption by 7,305% (122,853 vs 1,659 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; Agently is written in Python under Apache-2.0. generative-ai-for-beginners has attracted 54% as many forks as stars, Agently 11%. generative-ai-for-beginners was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (gpt), so they are genuine substitutes rather than adjacent tools.
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 | Agently | |
|---|---|---|
| GitHub stars | ★ 123K | ★ 1.7K |
| License | MIT | Apache-2.0 |
| Written in | Jupyter Notebook | Python |
| Last push | 2026-11-02 | 2026-10-13 |
| Forks | ⑂ 66K | ⑂ 184 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick generative-ai-for-beginners if
- You weight community size — 123K 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 Agently if
- You want the Agently feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and Agently fits your workflow better
About generative-ai-for-beginners
21 Lessons teaching everything you need to know to start building Generative AI applications 🌐 Multi Language Support Supported via GitHub Action (Automated & Always Up to Date) Arabic Bengali Bulgarian Burmese (Myanmar) Chinese (Simplified) Chinese (Traditional, Hong Kong) Chinese (Traditional, Macau) Chinese (Traditional, Taiwan) Croatian Czech Danish Dutch Estonian Finnish French German Greek Hebrew Hindi Hungarian Indonesian Italian Japanese Kannada Khmer Korean Lithuanian Malay Malayalam Marathi Nepali Nigerian Pidgin Norwegian Persian (Farsi) Polish Portuguese (Brazil) Portuguese (Portugal) Punjabi…
read the full generative-ai-for-beginners overview →
About Agently
Agently 4.1.4.8 AI Application Runtime Framework Build AI service backends with structured outputs, observable Actions, runtime Skills, MCP capabilities, process streams, and recoverable workflows. English 中文介绍 Docs · Quickstart · Why Agently · Capabilities · Architecture · Ecosystem Who This README Is For Agently is for teams moving from "the model can do it once" to "the application must do it reliably": product engineers building assistants, internal copilots, knowledge tools, operation workflows, or AI backed APIs platform teams that need clear extension points for model providers, tools, MCP servers…
read the full Agently overview →
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Frequently asked questions
Is generative-ai-for-beginners or Agently more popular?
generative-ai-for-beginners has 122,853 GitHub stars and Agently has 1,659. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and Agently free?
Both are open source. generative-ai-for-beginners is licensed under MIT and Agently under Apache-2.0. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and Agently?
generative-ai-for-beginners is written in Jupyter Notebook and Agently in Python. 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 Agently?
Choose generative-ai-for-beginners if you want the larger community (122,853 stars) or its MIT licence terms. Choose Agently if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.