Memory

Create custom categories for persistent long-term memory storage.

2|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/gula00/autoclaw-skills --skill memory-gula00
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Memory
Source: https://github.com/gula00/autoclaw-skills/tree/main/memory-1.0.2
Command: npx skills add https://github.com/gula00/autoclaw-skills --skill memory-gula00

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides an unlimited, organized, and persistent memory system that complements an agent's built-in memory, ensuring no information is ever lost and all data is easily retrievable.

Core Features & Use Cases

  • Unlimited Storage: Scales to store vast amounts of information without performance degradation.
  • Categorized Organization: Allows users to define custom categories (e.g., projects, people, knowledge) for structured data storage.
  • Complementary to Built-in Memory: Works in parallel with the agent's existing memory, enhancing recall without conflict.
  • Use Case: Store detailed project histories, extensive contact networks, decision logs, domain knowledge, or any growing collection of structured data that exceeds the capacity or organizational capabilities of the agent's default memory.

Quick Start

Use the memory skill to set up a new category for tracking project decisions.

Frequently Asked Questions about Memory

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

FAQPage Schema
How do I store unlimited project histories and contact networks when agent memory is full?

To store unlimited project histories and contact networks, you can establish an infinite, categorized memory system that runs in parallel with built-in agent memory. This ensures no information is lost and scales without performance degradation.

What is the best way to organize long-term knowledge management for an AI agent?

The best way to organize long-term knowledge management is to define custom categories like projects, people, or domain knowledge. This creates a structured indexing system for easy retrieval of growing data collections.

Can I sync data from built-in agent memory to a custom categorized storage system?

Yes, you can sync data from built-in agent memory to custom categorized storage. The system operates in parallel, allowing optional synchronization to enhance recall without conflicting with existing memory.

Does this categorized memory system work alongside existing agent memory without conflict?

Yes, this categorized memory system works alongside existing agent memory without conflict. It is designed to complement built-in memory, enhancing recall capabilities while operating in parallel.

How do I retrieve specific decision logs from a large persistent data storage system?

To retrieve specific decision logs from large persistent data storage, the system uses structured indexing within your defined custom categories. This organization ensures easy and accurate data recall.

When should I use a custom categorized memory system instead of default agent storage?

You should use a custom categorized memory system when your structured data collections exceed the capacity or organizational capabilities of default agent storage, requiring scalable and persistent long-term retention.