What kind of information does Rey Memory prioritize?

The system prioritizes insights gained from direct user interaction, changes in personality or values, explicit 'remember this' commands, and major project milestones.

Where is the memory data actually stored?

All data is stored in a structured Google Spreadsheet, giving you full ownership, transparency, and the ability to manually audit or edit your AI's memories.

Is my private data safe?

Rey Memory is designed with safety in mind and includes logic to avoid storing sensitive information like passwords, personal credentials, or confidential client data.

Can I use this for multiple Claude sessions?

Yes, that is its primary purpose. By reading from the Google Sheet at the start of every session, Claude can 'remember' everything from previous conversations as if they happened in the same session.

How does Rey Memory prevent context bloat?

It uses a hierarchical compression system where daily summaries are condensed into weekly and monthly highlights, ensuring only the most relevant, high-level information occupies the active context window.

Rey Memory

Name: Rey Memory
Author: dvcrn

bydvcrn

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생산성 및 워크플로

Manages a hierarchical long-term memory system for Claude using Google Sheets to maintain persistent learnings and personality growth across sessions.

Rey Memory provides Claude with a sophisticated, multi-layered memory architecture designed to mimic human cognitive retention. By categorizing information into short-term, daily, weekly, and permanent 'core' memories, it ensures that your AI agent evolves over time without hitting token context limits. This skill is essential for users building long-term collaborative relationships with their AI, as it enables Claude to remember architectural decisions, personal preferences, and developmental milestones across disconnected sessions.

주요 기능

01Importance-based scoring system (1-10) to determine retention duration

02Automated context compression to prevent token bloat while retaining meaning

03Four-layer hierarchical memory system: Daily, Weekly, Monthly, and Core

043 GitHub stars

05Growth logging to track changes in AI values and belief systems over time

06Google Sheets integration for transparent and persistent data storage

사용 사례

01Developing a personalized AI assistant that retains user preferences and feedback history

02Maintaining consistent project context and architectural decisions across months of development

03Archiving technical insights and 'lessons learned' to prevent repeated mistakes in coding tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace rey-memory

For use in Claude.ai and ChatGPT

주요 기능

01Importance-based scoring system (1-10) to determine retention duration

02Automated context compression to prevent token bloat while retaining meaning

03Four-layer hierarchical memory system: Daily, Weekly, Monthly, and Core

043 GitHub stars

05Growth logging to track changes in AI values and belief systems over time

06Google Sheets integration for transparent and persistent data storage

사용 사례

01Developing a personalized AI assistant that retains user preferences and feedback history

02Maintaining consistent project context and architectural decisions across months of development

03Archiving technical insights and 'lessons learned' to prevent repeated mistakes in coding tasks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace rey-memory

For use in Claude.ai and ChatGPT