Multi-Memory FAQs

Name: Multi-Memory
Author: DanNsk

Question 1

What is TOON format and how does it benefit LLMs?

Accepted Answer

TOON (Token-Oriented Object Notation) is a compact, LLM-optimized serialization format. When enabled, Multi-Memory responses use TOON, which can reduce token usage by 30-60% compared to standard JSON, making interactions with large language models more efficient and cost-effective.

Question 2

How do I get started with Multi-Memory?

Accepted Answer

You can quickly run Multi-Memory directly using `npx github:DanNsk/multi-memory-mcp` without installation, or clone the repository for local development. It's designed for easy integration, including configuration for tools like Claude Desktop.

Question 3

Can I store custom or complex data with my entities and observations?

Accepted Answer

Absolutely. Multi-Memory supports custom JSON properties on entities, observations, and relations. This allows for rich, searchable metadata beyond basic fields, enhancing the flexibility of your knowledge graph.

Question 4

What is Multi-Memory?

Accepted Answer

Multi-Memory is a multi-category knowledge graph memory server leveraging SQLite for persistent storage. It allows you to organize information into isolated contexts for different purposes, acting as a robust memory for applications and LLMs.

Question 5

How does Multi-Memory manage different types of data or projects?

Accepted Answer

It provides multi-category support, meaning each category (e.g., 'work', 'personal', 'project-alpha') has its own isolated SQLite database. This ensures distinct memory contexts and prevents data overlap.

Multi-Memory

Multi-Memory

Key Features

Use Cases

Key Features

Use Cases