Weight System & Decay
CommunityEnhance memory retention and categorization with exponential decay and manual configuration.
Software Engineering#memory retention#exponential decay#AI memory management#weighting system#Ebbinghaus
AuthorRenzo-Tognella
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of effective memory retention and categorization by implementing a weighted system with exponential decay, allowing for manual configuration and adaptive calibration.
Core Features & Use Cases
- Weighted Memory System: Combines 5 components for dynamic weighting of memories based on various factors.
- Exponential Decay: Utilizes Ebbinghaus' theory to implement time-based forgetting, with configurable half-life.
- Categorization Configuration: Allows for category-specific weight adjustments to fine-tune memory significance.
- Use Case: Use this Skill in AI systems to manage and retrieve information efficiently, ensuring that the most relevant and frequently accessed data remains readily available.
Quick Start
Implement the Weight System & Decay in your AI agent's memory management to enhance information retention and categorization.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Weight System & Decay Download link: https://github.com/Renzo-Tognella/UniversalThingsForMyAgents/archive/main.zip#weight-system-decay Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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