mcp-memory

Overview

MCP Memory is a specialized MCP server that provides persistent memory functionality for AI clients like Cursor, Claude, and Windsurf. It uses vector embeddings and similarity search to remember user preferences and behaviors across conversations. Built with Cloudflare Workers, D1 Database, and Vectorize, it implements a sophisticated architecture that stores both vector embeddings and original text in separate databases for efficient retrieval while maintaining data persistence. The server supports isolated namespaces per user, rate limiting, and TLS encryption to ensure security.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• store_memory

  Store information about a user for later retrieval

  Try:Remember that I prefer dark modeTry:Store my preference for morning meetings
• retrieve_memories

  Find relevant memories based on semantic similarity

  Try:What do I know about project XTry:Show me my preferences for coding tools
• delete_memory

  Remove a specific memory from storage

  Try:Forget my passwordTry:Remove outdated information about my address

Note: Inferred from the architecture description and usage examples, though explicit tool names aren't directly documented in the README

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Installation

npm create cloudflare@latest --git https://github.com/puliczek/mcp-memory

npm install

npx wrangler vectorize create mcp-memory-vectorize --dimensions 1024 --metric cosine

npm run dev

npm run deploy

{
  "mcpServers": {
    "mcp-memory": {
      "command": "npx",
      "args": ["@puliczek/mcp-memory"]
    }
  }
}

FAQ

Can I use memory.mcpgenerator.com to store my memories?

Yes, you can use memory.mcpgenerator.com to store and retrieve your memories for free. Your memories are securely stored and accessible only to you, but availability cannot be guaranteed.

Can I run it locally?

Yes, you can run MCP Memory locally for development using 'wrangler dev'. However, some features like vector search require a connection to Cloudflare's services.

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