Vector Memory

Overview

Vector Memory is a Model Context Protocol (MCP) server: Semantic document memory using Redis vector store. Save and recall files with natural language. In practice that means any MCP-compatible AI assistant can call Vector Memory's tools directly — the model decides when to use them in a conversation or agent run.

It runs locally: the Python package mcp-server-vector-memory (via uvx) speaks MCP over stdio on your machine. No credentials are required — it works out of the box. The current release is v0.4.4.

Vector Memory is listed under Memory on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain Vector Memory for NeerajG03, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "vector_memory": {
      "command": "uvx",
      "args": [
        "mcp-server-vector-memory"
      ]
    }
  }
}