memories

List, read, create, edit, and refresh long-term memory entries for a workspace.

154|14|Updated Feb 8, 2026
One-click install
npx skills add https://github.com/mweinbach/agent-coworker --skill memories-mweinbach
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memories
Source: https://github.com/mweinbach/agent-coworker/tree/main/skills/memories
Command: npx skills add https://github.com/mweinbach/agent-coworker --skill memories-mweinbach

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps users maintain accurate and accessible long-term memories for their work, ensuring that project context is preserved across sessions.

Core Features & Use Cases

  • Memory Management: List, read, create, edit, correct, update, and manage long-term memories.
  • Consistency: Ensures memory bodies are concise and factual, avoiding secrets and speculative conclusions.
  • Memory Types: Uses specific memory types for feedback, project context, and general notes.
  • Index Refresh: Provides a method to refresh the memory index after manual repairs.

Quick Start

Use the memories skill to list all memories for the current workspace.

Frequently Asked Questions about memories

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

FAQPage Schema
How do I retain project context across sessions using long-term memory?

Long-term memory management preserves project context across sessions by storing concise factual entries. You can list, read, create, and edit memory entries to maintain workspace continuity and accuracy.

What is the best way to manage long-term memories for a workspace?

The best way to manage long-term memories is using a dedicated skill to list, read, create, and edit entries. This ensures memory bodies remain concise, factual, and consistent across the workspace.

Can I correct and update existing memory entries to maintain context retention?

Yes, you can correct and update existing memory entries to maintain context retention. The system ensures memory accuracy and consistency by keeping bodies concise and avoiding speculative conclusions.

Does long-term memory management support specific memory types for project context?

Long-term memory management supports specific memory types for feedback, project context, and general notes. This categorization helps organize workspace data and ensures memory entries remain structured.

How do I refresh the memory index after manual repairs to long-term memories?

You can refresh the memory index after manual repairs using a specific refresh method. This functionality ensures the memory index stays synchronized with the actual stored memory entries.

What should I avoid storing in long-term memory entries for project management?

You should avoid storing secrets and speculative conclusions in long-term memory entries. The system enforces consistency by requiring memory bodies to remain concise and strictly factual.