head to head · open source
orm vs automem
orm has 47,661 GitHub stars, 2,605 forks, 2,627 open issues and last shipped 2 days ago. automem has 827 stars, 111 forks, 11 open issues and last shipped 3 days ago. orm leads on adoption by 5,663% (47,661 vs 827 stars). orm is written in TypeScript under Apache-2.0; automem is written in Python under MIT. orm has attracted 5% as many forks as stars, automem 13%. orm 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
| orm | automem | |
|---|---|---|
| GitHub stars | ★ 48K | ★ 827 |
| License | Apache-2.0 | MIT |
| Written in | TypeScript | Python |
| Last push | 2026-11-03 | 2026-11-02 |
| Forks | ⑂ 2.6K | ⑂ 111 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick orm if
- You weight community size — 48K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches TypeScript
- You value the larger contributor base for long-term maintenance
pick automem if
- You want the automem feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and automem fits your workflow better
About orm
Docs Discord X Blog Post Architecture Using Prisma 7? It remains fully supported. Its source lives on the v7 branch of this repository and its docs at prisma.io/docs/orm/v7. Prisma 8 is a release candidate. 8.0.0 final is expected in the next four to eight weeks. Until then a release candidate may include breaking changes, and every release ships with an upgrade recipe that the prisma 8 skill applies for you. The candidate is a complete implementation we stand behind: we treat bugs in it as urgent, and the risk you take on is a feature that is not built yet rather than churn. The feature scoreboard names every…
About automem
Long term memory for AI assistants — fast, private, and yours. AutoMem AutoMem gives your AI a memory that survives the chat. Save the decisions, preferences, notes, and context that matter. The next time you open Claude, Cursor, Codex, ChatGPT, or another connected assistant, it can bring back the right details instead of making you repeat yourself. Ask, “Why did we choose PostgreSQL?” and AutoMem can return the decision, the alternatives you considered, the principle behind it, and the work that followed — not just a pile of similarly worded snippets. Why AutoMem feels different No LLM call in the middle of…
read the full automem overview →
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Frequently asked questions
Is orm or automem more popular?
orm has 47,661 GitHub stars and automem has 827. orm has the larger community by that measure.
Are orm and automem free?
Both are open source. orm is licensed under Apache-2.0 and automem under MIT. Neither carries a licence fee.
What is the difference between orm and automem?
orm is written in TypeScript and automem 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, orm or automem?
Choose orm if you want the larger community (47,661 stars) or its Apache-2.0 licence terms. Choose automem if its feature set, stack or MIT licence fits better. Both are self-hostable.