Memory Search FAQs

Question 1

How does Memory Search store and manage its data?

Accepted Answer

Memory Search uses SQLite with FTS5 for fast full-text search, storing all data locally in `~/.mcp-memory/memories.db`. It has zero external dependencies beyond the `mcp` package, ensuring self-contained operation.

Question 2

How does Memory Search integrate with AI agent frameworks like Claude?

Accepted Answer

Memory Search operates as an MCP (Model Context Protocol) server, allowing easy integration with AI tools such as Claude Desktop through a simple configuration. It exposes specific tools (`record_memory`, `search_knowledge`, etc.) for agents to interact with its memory system.

Question 3

What is Memory Search and its primary function?

Accepted Answer

Memory Search is a persistent memory system designed for AI agents and assistants. It enables AI to record episodic memories with emotional context, maintain a searchable knowledge base, and retrieve information using advanced search capabilities.

Question 4

What kind of information can AI agents store and retrieve using this tool?

Accepted Answer

AI agents can store detailed episodic memories (including care weight, importance, emotion, and tags), add persistent facts/reference material to a knowledge base, perform full-text and semantic searches, and navigate temporal chains of events forward or backward.

Question 5

Does Memory Search support long-term memory management for AI agents?

Accepted Answer

Yes, it is built for long-term memory. Features like following temporal chains and automatic consolidation/archiving of old, low-access memories help efficiently manage storage and optimize the AI's ability to recall relevant information over extended periods.

Memory Search

Memory Search

Key Features

Use Cases

Key Features

Use Cases