head to head · open source
generative-ai-for-beginners vs Letta
generative-ai-for-beginners has 122,853 GitHub stars, 65,741 forks, 23 open issues and last shipped yesterday. Letta has 3,764 stars, 465 forks, 347 open issues and last shipped yesterday. generative-ai-for-beginners leads on adoption by 3,164% (122,853 vs 3,764 stars). generative-ai-for-beginners is written in Jupyter Notebook under MIT; Letta is written in TypeScript under Apache-2.0. generative-ai-for-beginners has attracted 54% as many forks as stars, Letta 12%. Letta 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.
← all 20902 open source comparisons
Side by side
| generative-ai-for-beginners | Letta | |
|---|---|---|
| GitHub stars | ★ 123K | ★ 3.8K |
| License | MIT | Apache-2.0 |
| Written in | Jupyter Notebook | TypeScript |
| Last push | 2026-11-02 | 2026-11-02 |
| Forks | ⑂ 66K | ⑂ 465 |
| 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 Letta if
- You want the Letta feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and Letta 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 Letta
Letta Code Letta Code is a stateful agent harness for creating agents that are more like people than tools. Letta Code agents have memory, identity, and a sense of experience over time. They learn and evolve over long horizons through rewriting their own memory, skills, prompts, and even the harness itself (through mods). Letta Code can be used interactively, or to power always on agents that work proactively. Interact with agents through: A local CLI The desktop app for macOS, Windows, and Linux Your browser, including mobile, at chat.letta.com Messaging integrations, including Telegram, Slack, Discord, and…
read the full Letta overview →
More in AI & Machine Learning
Related comparisons
More AI Development Platforms projects
Compare either of these against the rest of the AI Development Platforms field.
Frequently asked questions
Is generative-ai-for-beginners or Letta more popular?
generative-ai-for-beginners has 122,853 GitHub stars and Letta has 3,764. generative-ai-for-beginners has the larger community by that measure.
Are generative-ai-for-beginners and Letta free?
Both are open source. generative-ai-for-beginners is licensed under MIT and Letta under Apache-2.0. Neither carries a licence fee.
What is the difference between generative-ai-for-beginners and Letta?
generative-ai-for-beginners is written in Jupyter Notebook and Letta in TypeScript. 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 Letta?
Choose generative-ai-for-beginners if you want the larger community (122,853 stars) or its MIT licence terms. Choose Letta if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.