head to head · open source
generative-ai-for-beginners vs Agno
generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. Agno has 43,019 stars, 6,229 forks, 1,419 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 186% (122,853 vs 43,019 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; Agno is written in Python under Apache-2.0. generative-ai-for-beginners has attracted 54% as many forks as stars, Agno 14%. Agno was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), 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 | Agno | |
|---|---|---|
| GitHub stars | ★ 123K | ★ 43K |
| License | MIT | Apache-2.0 |
| Written in | Jupyter Notebook | Python |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 66K | ⑂ 6.2K |
| 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 Agno if
- You want the Agno 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 Agno 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 Agno
Build, run, and manage agent platforms. Introduction Agno is a framework and runtime for agent platforms. Build agents, run them as a service, manage your platform using a web UI. Build your agent platform using the Agno SDK. Run your agent platform using the AgentOS runtime. Manage everything using the AgentOS UI. Agno allows you to own your agent stack. Maintain control of your data, memory, and security posture (JWT based RBAC), and turn your agent platform into a learning loop with simulations and usage data. Get started Hand this prompt to your coding agent (Claude Code, Cursor, Codex): Your coding agent…
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Frequently asked questions
Is generative-ai-for-beginners or Agno more popular?
generative-ai-for-beginners has 122,853 GitHub stars and Agno has 43,019. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and Agno free?
Both are open source. generative-ai-for-beginners is licensed under MIT and Agno under Apache-2.0. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and Agno?
generative-ai-for-beginners is written in Jupyter Notebook and Agno 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 Agno?
Choose generative-ai-for-beginners if you want the larger community (122,853 stars) or its MIT licence terms. Choose Agno if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.