What are memory libraries used for?

Libraries act as namespaces to keep your knowledge organized. You can create separate libraries for different projects, programming languages, or types of notes (e.g., 'project-api' vs 'personal-snippets').

How does semantic search differ from regular file search?

Standard search looks for exact keywords, whereas semantic search understands meaning. For example, searching for 'user login' can retrieve memories about 'authentication protocols' because they are conceptually related.

When should I use this skill instead of searching my files?

Use this skill for high-level concepts, 'why' decisions, and notes that aren't explicitly written in your source code. Use standard file operations (fs_search) for finding specific strings or line numbers in your codebase.

Does storing new information overwrite old memories?

No, the memory system is additive. Storing new content adds to the library rather than replacing existing entries, allowing for a growing knowledge base.

Memory System

Name: Memory System
Author: cyrup-ai

bycyrup-ai

生産性とワークフロー

Stores and retrieves project knowledge using semantic search and automatic embeddings for long-term context retention.

概要

The Memory System skill provides Claude with a persistent, searchable knowledge base organized by namespaces. It uses automatic embeddings to allow for semantic recall, meaning you can find information based on intent and concepts rather than exact keyword matches. This is ideal for maintaining architectural decisions, project-specific notes, and reusable code snippets across different sessions, ensuring that critical context is never lost and remains easily accessible through natural language queries.

主な機能

Additive storage system that builds a comprehensive project history
Namespace isolation through customizable memory libraries
0 GitHub stars
Semantic search functionality to find information by meaning and context
Automatic embedding generation for all stored content
Discovery tools to list and navigate existing knowledge namespaces

ユースケース

Maintaining a persistent log of debugging insights and 'lessons learned' across tasks
Storing and recalling complex architectural decisions and project constraints
Managing a library of reusable code snippets searchable by functionality

概要

主な機能

Additive storage system that builds a comprehensive project history
Namespace isolation through customizable memory libraries
0 GitHub stars
Semantic search functionality to find information by meaning and context
Automatic embedding generation for all stored content
Discovery tools to list and navigate existing knowledge namespaces

ユースケース

Maintaining a persistent log of debugging insights and 'lessons learned' across tasks
Storing and recalling complex architectural decisions and project constraints
Managing a library of reusable code snippets searchable by functionality