Claude Graph Memory FAQs

Question 1

What is Claude Graph Memory?

Accepted Answer

Claude Graph Memory is a 100% local knowledge graph designed to provide persistent memory for Claude Code. It allows your AI coding assistant to remember project context, architectural decisions, and learnings across development sessions and projects.

Question 2

How does it enhance Claude Code's capabilities?

Accepted Answer

It addresses Claude Code's 'goldfish problem' by giving it deep, persistent understanding of your project's documentation and code structure. This reduces context loss, eliminates the need for constant re-explanation, and allows for more informed AI suggestions over time.

Question 3

Why does it use a knowledge graph instead of vector databases for RAG?

Accepted Answer

While vector databases focus on semantic similarity, knowledge graphs excel at preserving the *structure* and *relationships* within your project (code, documentation, decisions). This enables more precise queries, transparent reasoning paths, and a deeper contextual understanding than similarity-based approaches.

Question 4

Is Claude Graph Memory private and local?

Accepted Answer

Yes, it is built for 100% local and private operation. The underlying NornicDB (Neo4j compatible) runs in a local Docker container, and all data is stored on your machine. Nothing ever leaves your local environment, ensuring complete privacy and offline functionality.

Question 5

What types of project data can it index automatically?

Accepted Answer

Claude Graph Memory automatically indexes your project's documentation (all Markdown files, including ADRs) and code structure for Go, TypeScript/JavaScript, and Python. It extracts and links components, functions, classes, interfaces, and their relationships within the graph.

Claude Graph Memory

Claude Graph Memory

Key Features

Use Cases

Key Features

Use Cases