Vector Memory

A local MCP server that gives an assistant semantic document memory backed by a Redis vector store, so it can save files and recall them with natural language.

What you can do

• Save documents and files into a Redis-backed vector memory.
• Recall stored content by describing it in natural language rather than exact keywords.
• Semantic search over the saved document set.
• No tool list is published, so the exact operations are not documented beyond saving and recalling files.

When to use it

Worth adding when you want an assistant to keep a persistent, searchable memory of your own documents and retrieve them by meaning across sessions, and you already run or can run Redis.

Requirements

Runs as a local process on the user's machine, installed from the PyPI package mcp-server-vector-memory over stdio. Desktop client only; not usable from a web client. A reachable Redis instance with vector search support is implied by the description, though no connection settings are declared in the manifest.