Neo4j Memory
Empowers AI assistants with persistent, intelligent memory capabilities through a unified graph database architecture.
Acerca de
This server provides AI assistants with a robust and intelligent memory system built upon Neo4j's graph database. It enables AI to remember observations and metadata as interconnected knowledge nodes, efficiently search for relevant information using a combination of semantic vector search, exact matching, and graph traversal, and establish meaningful relationships between memories. With features like multi-database support for project isolation and temporal metadata tracking, it offers a comprehensive and scalable solution for managing and evolving an AI's understanding and knowledge over time, seamlessly integrating via the Model Context Protocol (MCP).
Características Principales
- Graph-based memory storage with nodes for memories and edges for relationships
- Isolated project contexts with multi-database support and instant switching
- Smart, typed relationships with strength, source tracking, and temporal metadata
- 30 GitHub stars
- Batch operations for creating multiple memories with relationships in a single request
- Unified search combining semantic vector, exact matching, and graph traversal
Casos de Uso
- Providing AI assistants with long-term, intelligent memory for complex tasks and projects
- Organizing and retrieving project-specific knowledge bases for AI agents
- Tracking the evolution of information and relationships within an AI's knowledge over time
