# FSRS Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/fsrs
> Markdown URL: https://aitinkerers.org/technologies/fsrs.md
> Technology record last updated: 2026-06-11T09:05:28Z
> Generated: 2026-09-22T07:44:34Z

FSRS (Free Spaced Repetition Scheduler) is an open-source, machine-learning-driven algorithm that optimizes flashcard review intervals for maximum long-term retention.

FSRS: Free Spaced Repetition Scheduler, is a modern, data-driven algorithm developed by Jarrett Ye to replace the legacy SM-2 method in spaced repetition software (SRS). It leverages a memory model—Difficulty, Stability, and Probability of Recall (DSR)—to precisely predict a user’s retention rate for each flashcard: this allows for highly personalized and efficient scheduling. Integrated into Anki since version 23.10, FSRS dynamically calculates optimal review intervals, often resulting in a significant reduction in daily reviews while maintaining a target recall rate (e.g., 90%). The algorithm is open source, ensuring transparency and continuous community-driven improvement.

- Official technology site: https://github.com/open-spaced-repetition/fsrs4anki
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Building an AI Language Tutor for iOS](https://berlin.aitinkerers.org/talks/rsvp_VPPtB_Q1kCM)

A German learning app for iOS. Every card is a unique AI-generated illustration, and instead of swiping through cards you can practice by speaking with a realtime voice tutor that drops you into dynamically generated scenarios -- order a coffee, miss a train, argue with your landlord. It mines your conversation transcripts for the mistakes you actually made and turns them into new cards overnight. FSRS spaced repetition underneath, and I use it every day for my own German.

- Event context: AI Tinkerers Berlin - June 17, 2026 — 2026-06-17 — Berlin
- Public talk page: https://berlin.aitinkerers.org/talks/rsvp_VPPtB_Q1kCM

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