ebbinghaus

An always-on second brain you talk to. Voice notes in Telegram → typed, linked knowledge in your Obsidian vault. Runs 24/7 on the Claude subscription you already have.

Agentic AI memory with Ebbinghaus forgetting curve decay. +16pp better recall than Mem0 on LoCoMo.

GBase — Recursive Self-Improvement Agent Framework. Memory, evolution, quality gates, identity system, and 40+ auto-registered tools.

用Vue写的高效背单词App，方法来自《17天搞定GRE单词》

A Parametric Framework to Generate Visual Illusions using Python

💠 单词智能复习项目 - 艾宾浩斯遗忘曲线 + 混淆词

Schema-as-code memory for AI agents in Obsidian: typed cards, entity dedup, link repair, update-in-place, and Ebbinghaus decay. Plain Markdown you own — a Claude Code skill.

Temporal 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.

Agent memory for LLM agents: 7 neuroscience-inspired layers (working, episodic, semantic, procedural) with FSRS spaced repetition and memory consolidation. Zero-dependency TypeScript library, Model Context Protocol (MCP) server, Vercel AI SDK middleware. Wins 9/9 answer-quality comparisons on LongMemEval-500 (3 judges, Bonferroni).

The open-source benchmark for LLM memory decay. Measure how Naive, RAG, Chunked RAG, Cascading, and SummaryMemory degrade over 100 conversation turns. Ebbinghaus forgetting curves, 5-provider LLM eval, multi-seed CI. No API key needed.

A pure-Python, zero-dependency memory decay engine for AI agent context — implements Ebbinghaus forgetting-curve retention with usage-based reinforcement, benchmarked against naive recency-window pruning.

My Solutions for LeetCode problems schedule according to Ebbinghaus forgetting curve.

A (self-hosted) trainer (software / program) to memorize flashcards (question-answer cards) in a webbrowser.

Ebbinghaus memory method helper. / 辅助记忆的 TODO 任务管理应用

AEGIS — Agentic AI Learning Platform with Epistemic State Modeling, Ebbinghaus Forgetting Curve, and Cognitive DNA Adaptation.

Claude Code plugin for full-lifecycle Obsidian knowledge management — vault lint, Karpathy-style query, Ebbinghaus spaced repetition, article ingestion, and GitHub sync.

Memory-Augmented Tensor Hybrid with Intelligent Routing

Ebbinghaus Memo app for storing plain text for repetitions at regular intervals to achieve incredible levels of assimilation of new knowledge

Simulate Ebbinghaus Forgetting Curve to Manage LLM Memory