21 skills found
st3v3nmw / Obsidian Spaced RepetitionFight the forgetting curve by reviewing flashcards & entire notes on Obsidian
MemoryMagic / MemoryMagic React NativeMemory Magic App: The Ebbinghaus Forgetting Curve, Written by React Native for iOS.
prefrontal-systems / CortexgraphTemporal memory system for AI assistants with human-like forgetting curves. All data stored locally in human-readable formats: JSONL for short-term memory, Markdown (Obsidian-compatible) for long-term. Memories naturally decay unless reinforced. Features knowledge graphs, smart prompting, and MCP server integration for Claude.
mlapeter / Claude EngramBrain-inspired persistent memory for Claude.ai. A single React artifact gives Claude salience scoring, forgetting curves, sleep consolidation, and context briefings — modeled on human hippocampal memory formation. Runs entirely inside the chat interface. No API key, no server, no extension needed.
nickhnsn / Facharbeit Spaced RepetitionA Java Spaced Repetition API implementing various spaced repetition algorithms: Leitner's system, SuperMemo SM-2 algorithm and the Free Spaced Repetition Scheduler (FSRS)
vetrivelcsamy / Bfe Dev TrackerBFE.dev tracker tracks your BFE.dev/bigfrontend.dev and prompt you to review based on Ebbinghaus's Forgetting Curve
NiuTrans / ForgettingCurveA benchmark for testing memorization abilities of LMs
ptrsvltns / File Forgetting Curve ObsidianFile Forgetting Curve
ttencate / Ebisu DartEbisu intelligent quiz scheduling algorithm based on Bayesian statistics and an exponential forgetting curve (Dart implementation)
zhanglintc / MmrzMmrz -- Memorize words scheduling by Ebbinghaus forgetting curve. Web Version:
Banyc / UnforgettableNotes📒 A sticky note APP that shows notes based on memory decay theory. 🧠 Least time for more remembering tasks! ⚡ 基于遗忘曲线的记事本，快遗忘的笔记会自动置顶，拒绝半途而废、人肉规划时间表。高效记忆利器！
sachitrafa / YourMemoryAgentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.
xwj-vic / AI MemoryA biomimetic memory server for AI Agents implementing human-like STM/LTM funnel, cognitive filtering, and Ebbinghaus forgetting curve. (Go + Vue)
davepartner / Swagger Api Sample Documentation With Gulp AutomationThis is a complete and working swagger setup. You just need to clone it and start adding your own endpoints, hassle free. It includes swagger-ui, swagger-ui-dist, swagger-editor and a cool gulp task to help automate the whole process. No learning curve, just plug and play. Don't forget to star it.
Skvayzer / LINSThis android app is for memorizing english words by the easiest way using service that allows you to find, translate and save for learning words while roaming in other apps, you can watch english films with smart subtitles, make dictionaries on topics, share them or download other's, see plenty of word's translations and idioms and example sentences they are used in, learn words with cards using Leitner system and Ebbinghaus forgetting curve in spaced repetitions. And all of it is synchronized with server and available on different devices (you watch movies on your big tables, but learn words on your phone wherever you are). This app is my final project for IT Samsung school's project competition 2019.
gosiqueira / Leetcode Ebbinghaus PracticeMy Solutions for LeetCode problems schedule according to Ebbinghaus forgetting curve.
gurov / Curve Of ForgettingCurve of Forgetting helps you memorize text by heart. It adds events to your Google Calendar in a special order to memorize text with a minimum number of repetitions.
s-c-wang / MemorizingVocabularyUsingForgettingCurveA Python program helps you to memorize words based on the psychologist Ebbinghaus's forgetting curve.
552135371 / Recommanded SystemThis is a source code of a new algorithm by myself. The algorithm is a collaborative filtering recommendation algorithm based on ALS that combines the "time forgetting curve" and "item type characteristics". The result showed that the accuracy of this algorithm is greatly improved. The experimental data are 100,000 records of movielens users' movie-watching feedback.本算法是结合“时间遗忘曲线”和“物品类型特征”的基于ALS的协同过滤推荐算法，算法基于前人的基础上进行了改革，实现算法优化. 该算法相较于原始的ALS推荐算法准确率有大幅度的提升。实验数据为movielens曾给出的用户观影反馈的十万条记录。
NuSynth / GlideCLIGlide implements calculations from scientific research on the forgetting curve, to present study material at the right time.
