memory

Name: memory
Availability: InStock
Author: IonClaw

Save facts to MEMORY.md and search daily log files.

80|19|Updated Mar 9, 2026

Search Tags:#context #logs #recall #search #memory #facts

Ready to run

npx skills add https://github.com/ionclaw-org/ionclaw --skill memory-ionclaw-org

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: memory
Source: https://github.com/ionclaw-org/ionclaw/tree/main/main/resources/skills/memory
Command: npx skills add https://github.com/ionclaw-org/ionclaw --skill memory-ionclaw-org

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a robust system for storing and retrieving important information, ensuring that key facts, past events, and user preferences are never lost and can be easily accessed.

Core Features & Use Cases

Durable Fact Storage: Save important, long-term information in MEMORY.md for persistent context.
Daily Logging: Automatically append conversation details to daily log files (YYYY-MM-DD.md).
Efficient Search: Quickly find specific information across all memory logs using keyword searches.
Use Case: Save user preferences like "dark mode" or project details like "uses OAuth2" to ensure consistent agent behavior and project context across sessions.

Quick Start

Use the memory skill to save the fact that the user prefers dark mode.

Frequently Asked Questions about memory

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

FAQPage Schema

How do I save persistent context and facts for AI agents across sessions?▼

To save persistent context for AI agents, you can store long-term facts in a dedicated memory file. This ensures key information like user preferences and project details are retained and accessible across different sessions.

Can I automatically log daily conversation events for later search?▼

Yes, you can automatically append conversation details to daily log files formatted by date. This creates an append-only record of events that you can search through later using keywords.

What is the best way to search past events in AI conversation logs?▼

The best way to search past events in conversation logs is by running keyword searches across all dated memory files. This quickly retrieves specific information without manually scanning individual records.

Does this memory system store long-term facts and daily logs separately?▼

Yes, the memory system separates long-term curated facts into a primary memory file and daily events into date-stamped append-only logs. This structure facilitates efficient context retention and targeted recall.

How do I retrieve specific information from past agent memory files?▼

You retrieve specific information from agent memory files by reading the curated facts file or by executing keyword searches across the daily logs. This allows the agent to recall exact past context efficiently.