What is the Managing Memory skill for Claude Code?

It is a specialized skill that allows Claude to store and retrieve enriched information about your coding preferences, project decisions, and technical constraints over time.

Is my memory data stored locally or in the cloud?

By default, storage is local. However, you can configure an optional Mem0 API key to enable cloud synchronization for persistence across different environments.

What is the difference between global and project scopes?

Global scope is used for general preferences that apply to all your work, while project scope is tied to a specific directory or codebase for architectural decisions.

How does this skill handle large amounts of stored data?

It uses a subagent pattern where a smaller model (Haiku) processes and summarizes search results, providing a concise overview instead of dumping raw data into your context.

Managing Memory

Name: Managing Memory
Author: designnotdrum

bydesignnotdrum

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Productivity & Workflow

Captures and recalls project decisions, user preferences, and contextual insights to provide a personalized coding experience.

About

The Managing Memory skill empowers Claude to maintain a persistent, high-context record of architectural decisions, technology preferences, and specific project constraints. By storing 'enriched memories'—which include the reasoning and sentiment behind choices—Claude can provide more relevant, personalized suggestions over time. It intelligently scopes data between global developer preferences and project-specific logic, utilizing a subagent pattern to summarize large volumes of past interactions without cluttering your active context window.

Key Features

Subagent-driven summarization for efficient retrieval of large memory sets
Optional cloud synchronization via Mem0 integration for cross-device persistence
Context-enriched storage of decisions, preferences, and user reactions
1 GitHub stars
Dual-scoping for global personal patterns and project-specific constraints
Natural recall integration for referencing past interactions during development

Use Cases

Tracking the 'why' behind specific implementation details to avoid repeating past mistakes
Maintaining consistency in architectural choices across different development sessions
Onboarding Claude to a new project by recalling past technology stack preferences

About

Key Features

Subagent-driven summarization for efficient retrieval of large memory sets
Optional cloud synchronization via Mem0 integration for cross-device persistence
Context-enriched storage of decisions, preferences, and user reactions
1 GitHub stars
Dual-scoping for global personal patterns and project-specific constraints
Natural recall integration for referencing past interactions during development

Use Cases

Tracking the 'why' behind specific implementation details to avoid repeating past mistakes
Maintaining consistency in architectural choices across different development sessions
Onboarding Claude to a new project by recalling past technology stack preferences