My time to work on new features is very limited at the moment, I'm
afraid... Plus, in my own language learning, I've deemphasised
flashcards a lot :-)
However, Mnemosyne has a plugin-based architecture, so somebody could
certainly implement this as a plugin.
Cheers,
Peter
On Thu, Feb 29, 2024 at 3:44 PM 'Bithov Vinu' via mnemosyne-proj-users
wrote:
>
> Hi,
>
> Anki has been updated with FSRS, a more modern, science backed algorithm that
> greatly outperforms SM2
> (https://www.reddit.com/r/Anki/comments/18csuer/fsrs_is_now_the_most_accurate_spaced_repetition/)
> and is roughly on par with modern SuperMemo algorithms, all while being open
> source and widely implemented. In fact, it may be better than modern
> SuperMemo algorithms, but the available dataset SuperMemo repetitions is not
> large enough to say this confidently. It is well documented
> (https://github.com/open-spaced-repetition/fsrs4anki/wiki/The-Algorithm) and
> already implemented in Python. It seems like it would be straightforward to
> use with Mnemosyne, even if it required fiddling with the database. It even
> models the individual users's memory, unlike SM2, and provides optimisation
> using ML. Are there any plans for FSRS in Mnemosyne?
>
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