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Memorious MCP

Created By
cedricvidal3 months ago
Memorious-MCP is a minimal Model Context Protocol (MCP) server that provides a persistent key-value memory store with vector-similarity lookup using ChromaDB.
Overview

what is Memorious MCP?

Memorious MCP is a minimal Model Context Protocol (MCP) server that provides a persistent key-value memory store with vector-similarity lookup using ChromaDB, designed for AI assistants to manage long-term memory locally.

how to use Memorious MCP?

To use Memorious MCP, install it via uvx or in a virtual environment, and configure it in your MCP client. You can then use its API to store, recall, or forget memories.

key features of Memorious MCP?

  • 100% Local & Private: All data processing and storage happens on your machine.
  • Persistent Memory: Data persists across sessions using ChromaDB's disk-based storage.
  • Semantic Search: Vector embeddings enable similarity-based memory retrieval.
  • Simple API: Three intuitive tools for memory management.
  • FastMCP Integration: Built on FastMCP for efficient MCP server implementation.

use cases of Memorious MCP?

  1. Personal Assistant Memory: Remember user preferences and habits.
  2. Context Preservation: Maintain conversation context across sessions.
  3. Knowledge Management: Store and retrieve project-specific information.
  4. Personalization: Enable AI assistants to provide personalized responses.
  5. Privacy-First AI: Keep sensitive personal data local while having persistent memory.

FAQ from Memorious MCP?

  • Is my data safe with Memorious MCP?

Yes! All data is stored locally on your machine, ensuring complete privacy.

  • Can I use Memorious MCP for multiple projects?

Yes! You can manage different memories for various projects using the same server.

  • What programming language is Memorious MCP built with?

Memorious MCP is built with Python and requires Python version 3.12 or higher.

Server Config

{
  "mcpServers": {
    "memorious": {
      "command": "uvx",
      "args": [
        "memorious-mcp"
      ]
    }
  }
}
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