memory-keeper

Store and recall persistent context across sessions using Memory MCP.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/AlexBaum-ai/NEURM --skill memory-keeper
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memory-keeper
Source: https://github.com/AlexBaum-ai/NEURM/tree/main/.claude/skills/memory-keeper
Command: npx skills add https://github.com/AlexBaum-ai/NEURM --skill memory-keeper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ensures critical decisions, project patterns, and solutions are persistently stored and easily recalled across sessions, building institutional memory and preventing knowledge loss or the need to rediscover solutions.

Core Features & Use Cases

  • Decision Archiving: Stores architectural and technical decisions with full context, rationale, and trade-offs for future reference.
  • Pattern Tracking: Identifies and remembers recurring solutions, best practices, and common issues, making them available for reuse.
  • Knowledge Base Management: Builds a comprehensive, searchable project knowledge base that supports onboarding and consistency.
  • Use Case: After making a complex architectural decision, use this skill to document the decision, its rationale, and alternatives considered, ensuring future team members understand the "why" and can quickly get up to speed.

Quick Start

Use the memory-keeper skill to store the decision about using Zod for all backend validation, including the reasons why.

Frequently Asked Questions about memory-keeper

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

FAQPage Schema
How do I store and recall architectural decisions across team sessions?▼

Store and recall persistent context using Memory MCP primitives—save decisions with rationale and trade-offs, then retrieve them by search or tag. This builds institutional memory so future team members understand the reasoning behind critical choices without rediscovery.

What's the best way to track recurring project patterns and solutions?▼

Use memory storage to identify and catalog recurring solutions, best practices, and common issues across sessions. Tag and organize patterns so they become immediately available for reuse, reducing duplicated effort and accelerating problem-solving.

Can I use persistent context to speed up onboarding new team members?▼

Yes. Build a searchable knowledge base by storing architectural decisions, patterns, and project context. New hires query this memory to understand decisions, conventions, and past solutions, cutting onboarding time and ensuring consistency.

How do I organize and search a project knowledge base across sessions?▼

Store memories with tags and metadata using MCP primitives (store, tag, search, list), then retrieve by keyword or tag across sessions. This creates a living knowledge base that prevents knowledge loss and makes solutions discoverable without manual documentation overhead.

What should I document when recording a technical decision?▼

Capture the decision itself, full rationale, alternatives considered, and context. Persistent storage ensures this complete record survives session boundaries, giving future developers the 'why' behind choices and preventing repeated debate over settled questions.