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mnemosyne

Spaced-repetition software

mnemosyne-proj.org mnemosyne 3 releases newest changed 3 days ago

version2.10.1 attributemnemosyne rev

aarch64-darwin 8825bebf6324e0579d012936eff73379af284b6d 2026-09-23

aarch64-linux 8825bebf6324e0579d012936eff73379af284b6d 2026-09-23

x86_64-darwin 05988b07fb05cbcb50be6bce197b4b5f75b5e61b 2026-07-08

x86_64-linux 8825bebf6324e0579d012936eff73379af284b6d 2026-09-23

systems✓ aarch64-darwin✓ aarch64-linux✓ x86_64-darwin✓ x86_64-linux

$ devbox add mnemosyne@2.10.1

$ nix shell github:NixOS/nixpkgs/8825bebf6324e0579d012936eff73379af284b6d#mnemosyne  # aarch64-darwin

$ nix shell github:NixOS/nixpkgs/8825bebf6324e0579d012936eff73379af284b6d#mnemosyne  # aarch64-linux

$ nix shell github:NixOS/nixpkgs/05988b07fb05cbcb50be6bce197b4b5f75b5e61b#mnemosyne  # x86_64-darwin

$ nix shell github:NixOS/nixpkgs/8825bebf6324e0579d012936eff73379af284b6d#mnemosyne  # x86_64-linux

JSON: /v2/resolve?name=mnemosyne&version=latest

Releases

newest first, as /v2/pkg orders them

Version	arm mac	arm linux	x86 mac	x86 linux	Attribute	Commit	Date	Outputs
2.10.1resolved	✓	✓	✓	✓	`mnemosyne`	varies	2026-09-22	out, dist
2.7.2	✓	✓	✓	✓	`mnemosyne`	varies	2023-11-29	out, dist
2.7.1	–	–	–	✓	`mnemosyne`	2c4e0f37a6	2020-08-06

Prereleases are listed but latest never picks one. “varies” means each system last changed at a different nixpkgs commit — the release page lists them.

Description

The Mnemosyne Project has two aspects: * It's a free flash-card tool which optimizes your learning process. * It's a research project into the nature of long-term memory. We strive to provide a clear, uncluttered piece of software, easy to use and to understand for newbies, but still infinitely customisable through plugins and scripts for power users. ## Efficient learning Mnemosyne uses a sophisticated algorithm to schedule the best time for a card to come up for review. Difficult cards that you tend to forget quickly will be scheduled more often, while Mnemosyne won't waste your time on things you remember well. ## Memory research If you want, anonymous statistics on your learning process can be uploaded to a central server for analysis. This data will be valuable to study the behaviour of our memory over a very long time period. The results will be used to improve the scheduling algorithms behind the software even further.