Enhanced Memory Optimization (EMO)

Enhanced Memory Optimization (EMO) is based on the spaced repetition principle, aiming to improve long-term retention by adaptively scheduling reviews according to memory strength.

Functions

• Practice mode
  • Flash card
  • Word
  • Meaning (* Better with GPU)
• Study mode (Leitner System)
  • Customize reviewing days
• Export/Import words
• Add new box as "graduation box"
  • The graduation box will select N words randomly, where the lower the accuracy, the higher the chance.
• Updating the LLM usage to llama.cpp
• Calendar

Meaning Mode Setup

Meaning mode uses Qwen/Qwen3-8B-GGUF to evaluate your answers locally. The model is downloaded once on first use and runs fully offline thereafter.

Because Gemma requires accepting a license agreement, a HuggingFace account and access token are needed for the initial download only.

Requirements

• Python 3.9–3.13 — PyTorch does not yet support Python 3.14+. If your system Python is 3.14 or newer, install a compatible version first.

Install Issues:

Issue 1:

“LitAtlas.app” is damaged and can’t be opened. You should eject the disk image.

Reason:

The downloaded unauthorized application will be quarantined by default.

Solution:

# replace /Applications/YourAppName.app with actual APP path 
# (default will be /Applications/EMO Flashcards.app)
xattr -cr /Applications/YourAppName.app