memory

Maintains structured fact files and chronological event logs for AI context retrieval via grep.

Updated Mar 2, 2026

Search Tags:#context #logging #memory #persistence #history #grep

Ready to run

npx skills add https://github.com/myaiartist360-maker/mobot --skill memory-myaiartist360-maker

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: memory
Source: https://github.com/myaiartist360-maker/mobot/tree/main/mobot/skills/memory
Command: npx skills add https://github.com/myaiartist360-maker/mobot --skill memory-myaiartist360-maker

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the issue of AI agents losing track of user preferences, project history, and important context across long-running sessions.

Core Features & Use Cases

Fact Persistence: Maintains a dedicated file for long-term facts like user preferences and project relationships.
Event Logging: Provides an append-only history log for tracking past interactions and decisions.
Contextual Recall: Enables the agent to search through historical events using grep to retrieve specific past information.

Quick Start

Search the history log for any mentions of the project deadline by running a grep command on the history file.

Frequently Asked Questions about memory

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

FAQPage Schema

How do I maintain context and history for AI agents across multiple sessions?▼

To maintain context for AI agents across multiple sessions, you can use a persistent memory system that stores user preferences in structured fact files and logs chronological events for later keyword retrieval.

What is the best way to retrieve past decisions from an AI agent's event history?▼

The best way to retrieve past decisions from event history is logging interactions in an append-only file and searching the text history using standard Unix grep utilities to find specific keyword matches.

Do I need Unix grep to search chronological event logs for long-term AI memory?▼

Yes, you need standard Unix grep utilities to perform text-based searches across the event history file, as this memory system relies on grep to facilitate efficient keyword-based contextual recall.

How does fact persistence separate user preferences from chronological event logs?▼

Fact persistence separates user preferences from chronological event logs by maintaining a dedicated file for long-term project relationships and preferences, while using an append-only history log for tracking past interactions.

Can I use this persistent memory approach to track project history in long-running sessions?▼

Yes, you can use this persistent memory approach to track project history in long-running sessions by appending interactions to a chronological log file and searching past events to retain project context.