memory-management

Automate personal context updates, decision logging, and monthly archiving.

4|4|Updated Oct 23, 2025
One-click install
npx skills add https://github.com/oakensoul/aida-core-plugin --skill memory-management
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory-management
Source: https://github.com/oakensoul/aida-core-plugin/tree/main/skills/memory-management
Command: npx skills add https://github.com/oakensoul/aida-core-plugin --skill memory-management

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Users often struggle to keep track of daily context, important decisions, and past activities, leading to forgotten details and wasted time. This Skill automates the capture and organization of your personal memory, ensuring nothing slips through the cracks and allowing you to focus on your work.

Core Features & Use Cases

  • Automated Context Tracking: Continuously updates your current focus, recent activities, and pending items, keeping your AI informed of your current state.
  • Decision Logging: Automatically records important decisions, their rationale, and alternatives considered, building a searchable log of your choices.
  • Monthly Archiving: Summarizes and archives your monthly activities and decisions for long-term recall and review, keeping your active memory lean.
  • Use Case: Imagine you're managing several projects and making daily choices. This Skill ensures your AI always knows your current focus, logs every key decision you make with its rationale, and provides a searchable history, freeing you from manual note-taking and context switching overhead.

Quick Start

This skill is primarily invoked automatically by AIDA's core commands. To see it in action, simply use the AIDA system's built-in memory commands after installation:

# Initialize your AIDA system (creates memory files)
/init-aida

# Remember a fact or decision
/remember chose React over Vue for better TypeScript support

# Recall past information
/recall what did I decide about frameworks

Frequently Asked Questions about memory-management

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

FAQPage Schema
How do I automate tracking of daily decisions and context without manual note-taking?

This Skill automates decision logging and context tracking by capturing your focus, activities, and choices with timestamps and rationale. Use commands like /remember and /recall to build a searchable log that keeps your AI informed of your current state without overhead.

Can I set up automatic memory management that triggers on specific events like day boundaries?

Yes, this Skill activates automatically on defined triggers including context updates, decision points, day boundaries, and explicit commands. It updates structured files (context.md, decisions.md, history/monthly) with template-based entries and timestamps on each activation.

What's the best way to organize and archive past decisions and activities for long-term recall?

Monthly archiving summarizes and moves your activities and decisions to dated history files, keeping your active memory lean while maintaining a searchable record. This separation lets you review past choices and activities without cluttering current context.

How does automated context tracking help when managing multiple projects simultaneously?

Continuous context updates ensure your AI always knows your current focus, recent activities, and pending items across projects. This eliminates context switching overhead and manual updates, letting you focus on work while the Skill maintains accurate state.

Do I need to initialize anything before using decision logging and memory commands?

Yes, run /init-aida once to set up memory files and directory structure. After initialization, memory commands like /remember, /recall, /start-day, and /end-day activate automatically and record to your initialized template files.

What happens if the Skill encounters read/write errors while updating memory files?

The Skill includes robust error handling for file operations to ensure data integrity during reads, writes, and appends. Errors are logged with context, allowing you to identify and resolve issues without losing previously recorded decisions or context.