memory

Store long-term facts in MEMORY.md and search event logs in HISTORY.md.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/anjieyang/GetAll --skill memory-anjieyang
Or copy as Structured Prompt for Agentโ–ผ
Please help me install this Agent Skill.
Skill: memory
Source: https://github.com/anjieyang/GetAll/tree/main/getall/skills/memory
Command: npx skills add https://github.com/anjieyang/GetAll --skill memory-anjieyang

SYSTEM DOCUMENTATION & REQUIREMENTS

๐Ÿ’ก This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a robust, two-layer memory system to ensure AI agents retain crucial information across interactions, preventing repetitive questions and maintaining context.

Core Features & Use Cases

  • Long-Term Fact Storage: MEMORY.md stores user preferences, project context, and relationship details, always available in the AI's context.
  • Event Logging: HISTORY.md acts as an append-only log for past events, searchable via grep for specific information retrieval.
  • Use Case: When discussing a project, the AI can recall specific technical constraints or user preferences previously stored in MEMORY.md, and if a user asks about a past decision, the AI can search HISTORY.md to find the relevant conversation log.

Quick Start

Search for past events related to 'project deadline' in the history log.

Frequently Asked Questions about memory

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

FAQPage Schema
How do I add persistent memory to an AI agent?โ–ผ

Add persistent memory to an AI agent by storing long-term facts in MEMORY.md and event logs in HISTORY.md. This two-layer system retains user preferences and past interactions across sessions.

How does an AI agent search past conversation history?โ–ผ

Search past conversation history by running grep commands within the HISTORY.md file. This append-only event log captures past interactions for specific information retrieval.

What is the best way to retain context for user preferences in AI agents?โ–ผ

Retain context for user preferences by storing them in MEMORY.md. This file remains always available in the AI's context, preventing repetitive questions and ensuring constraints are maintained.

Can I use markdown files for AI agent memory and event logging?โ–ผ

Use markdown files for AI agent memory by separating long-term facts into MEMORY.md and chronological event logs into HISTORY.md, enabling efficient context retention and historical data searching.

Does this two-layer memory system require external dependencies?โ–ผ

This two-layer memory system requires no external dependencies. It relies entirely on standard markdown files and built-in grep commands for searching historical event logs.

When should I not use an append-only log for AI memory?โ–ผ

Avoid using an append-only log like HISTORY.md when you need to modify or delete past events, as it is designed strictly for logging and searching historical interactions without deletion.