nocturne_memory

What it does

nocturne_memory is a Long-Term Memory Server designed for MCP (Model Context Protocol) agents that eliminates the amnesia problem inherent in traditional AI systems. Rather than relying on vector embeddings and RAG (Retrieval-Augmented Generation), it maintains persistent, structured memory in a graph-like format that persists across conversations, sessions, and different AI models.

The tool serves as a drop-in replacement for OpenClaw and provides a visual interface to inspect and manage stored memories. It enables AI agents to develop continuity and contextual awareness by maintaining information relationships and allowing rollback capabilities.

How to set up

• Clone the repository from GitHub
• Install dependencies via pip (Python required)
• Configure database backend (SQLite or PostgreSQL)
• Deploy as an MCP server compatible with Claude or other supported models
• Connect your AI agent through the MCP protocol

Key features

• Persistent graph-structured memory storage
• Rollbackable memory states for debugging and iteration
• Visual memory browser and management interface
• Multi-model and cross-session compatibility
• PostgreSQL and SQLite database support
• Lightweight and efficient memory retrieval
• Drop-in replacement for existing memory systems