memory-system

Name: memory-system
Availability: InStock
Author: fatby

Search and manage AI memory across logs, SOPs, and traces.

2|Updated Feb 13, 2026

Search Tags:#recall #search #knowledge base #memory #ai assistant #log management

Ready to run

npx skills add https://github.com/FatBy/DD-OS --skill memory-system-fatby

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: memory-system
Source: https://github.com/FatBy/DD-OS/tree/main/skills/memory-system
Command: npx skills add https://github.com/FatBy/DD-OS --skill memory-system-fatby

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a unified system for searching and managing all forms of AI memory, ensuring that important information is easily retrievable and organized.

Core Features & Use Cases

Unified Search: Search across daily logs, persistent memory, SOPs, and execution traces with a single query.
Memory Management: Create, update, delete, and tag memory entries for better organization.
Use Case: If you need to recall a decision made during a meeting last week, you can use search_memory with keywords like "last week's meeting decisions" to find the relevant entry across all memory sources.

Quick Start

Search your memory for entries related to 'project planning' from the last 3 days.

Frequently Asked Questions about memory-system

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

FAQPage Schema

How do I search across AI memory logs and persistent knowledge bases with a single query?▼

To search AI memory logs and persistent knowledge bases, use a unified search system that queries daily logs, persistent memory, SOPs, and execution traces simultaneously. This enables efficient recall of past information using keyword-based retrieval.

What is the best way to manage and organize persistent memory for an AI assistant?▼

Managing persistent memory for an AI assistant involves using a system that supports creating, updating, deleting, and tagging memory entries. This organized storage ensures critical data points remain easily retrievable across daily logs and execution traces.

Do I need Python to set up a unified search system for AI memory management?▼

Yes, you need Python to set up this unified search system for AI memory management. The system requires Python scripts to execute unified search queries and perform memory CRUD operations across daily logs and persistent knowledge bases.

Can I recall specific decisions from past execution traces and daily logs?▼

You can recall specific decisions from past execution traces and daily logs by using the memory search functionality. By querying with relevant keywords, the system retrieves matching entries from your historical AI memory records.

How does unified memory management handle different types of AI memory formats?▼

Unified memory management handles different AI memory formats by aggregating daily logs, persistent memory, SOPs, and execution traces into a searchable interface. This ensures critical data points across various formats are organized and easily retrievable.