remember

Store, organize, and retrieve persistent memories across AI sessions.

2|1|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/r3dlex/oh-my-auggie --skill remember-r3dlex
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: remember
Source: https://github.com/r3dlex/oh-my-auggie/tree/main/plugins/oma/skills/remember
Command: npx skills add https://github.com/r3dlex/oh-my-auggie --skill remember-r3dlex

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

This Skill simplifies managing persistent memory, ensuring important decisions and conventions are retained beyond current sessions.

Core Features & Use Cases

  • Memory Triage: Categorize memories into Priority, Working, or Manual, based on importance and persistence needs.
  • Information Retrieval: Search and recall stored memories across sessions to support ongoing projects or decisions.
  • Use Case: Remember team standards or project decisions so they can be referenced easily during future conversations or sessions.

Quick Start

Engage the remember skill to save key project guidelines or recall previous decisions by providing a specific description or query.

Frequently Asked Questions about remember

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retain context and recall information across multiple AI sessions?

Persistent context memory stores, organizes, and retrieves crucial information like rules and decisions to ensure critical knowledge endures through multiple AI interactions. It uses structured categories for effective management.

How does organizing persistent memory into Priority, Working, or Manual categories work?

Memory triage categorizes persistent context into Priority, Working, or Manual based on importance and persistence needs. This structured organization ensures crucial information is managed effectively during retrieval.

Can I use persistent memory to remember project decisions and team standards for future conversations?

Yes, persistent memory is suitable for remembering team standards or project decisions. You can recall stored memories across sessions to support ongoing projects or reference previous decisions.

What's the best way to search and recall previous decisions stored during past interactions?

Information retrieval searches and recalls stored memories across sessions by providing a specific description or query. This supports ongoing projects by bringing up previous decisions when needed.

Do I need any specific dependencies to manage persistent contextual information for long-term awareness?

No specific dependencies are required to manage persistent contextual information. The system operates independently to store and retrieve memories, fulfilling the need for long-term contextual awareness.

When should I not use a persistent memory approach for storing contextual information?

Persistent memory is not ideal for temporary data that does not need to endure beyond current sessions. It is specifically designed for long-term contextual awareness of important decisions, rules, and preferences.