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Databases★ 1,265

Nocturne Memory

A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and amnesia. Empower your AI with persistent, graph-like structured memory across any model, session, or tool. Drop-in replacement for OpenClaw.

by Dataojitori · Dataojitori/nocturne_memory

How to use Nocturne Memory with Claude

Nocturne Memory is a Model Context Protocol (MCP) server that gives Claude and other AI agents direct access to databases capabilities. Once installed, you can use it in Claude Desktop, Cursor, VS Code with GitHub Copilot, or any MCP-compatible client.

Setup

  1. Clone or install from the GitHub repository
  2. Follow the README for environment setup and credentials
  3. Add the server to your MCP client config (claude_desktop_config.json or .cursor/mcp.json)
  4. Restart your client — Nocturne Memory will appear in the available tools list

About Nocturne Memory

Python★ 1,265 starsUpdated Jun 2026Source: github

Nocturne Memory is an open-source MCP server in the Databases category, built in Python. It connects Claude and other MCP-compatible clients to databases systems directly. Source available on GitHub.

Use cases for Databases MCP servers

  • Query and mutate production databases via natural language
  • Run schema migrations with AI-assisted validation
  • Generate and explain SQL queries from plain English
  • Debug slow queries by pulling execution plans automatically

Where Nocturne Memory fits in an MCP workflow

Teams use Nocturne Memory to give Claude a direct bridge into databases workflows, so routine actions happen inside the AI client instead of across separate tabs and dashboards.

Nocturne Memory can be connected to MCP clients by following the repository setup instructions, making it useful for teams that want AI access to databases systems.

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