Neo4j Knowledge Graph Memory
Rank #8655smithery/sylweriusz/mcp-neo4j-memory-server
Store and retrieve user-specific memories across sessions using Neo4j graph database. This MCP memory infrastructure enables AI assistants to maintain context, recall past interactions, and manage memories with semantic search capabilities. Transform your agent's conversations into a searchable memory bank with entities and relationships. ### Key capabilities: - **Store memories** persistently across multiple sessions - **Retrieve context** with hybrid semantic and exact search - **Manage memory banks** with multi-database project isolation - **Recall information** through vector embeddings and graph traversal - **Memory extension** for AI agents with temporal tracking - **Knowledge graph** format with intelligent relationships Perfect for building AI assistants with long-term memory, maintaining user context, and creating memory systems that remember preferences and past interactions. Self-hosted memory infrastructure built on Neo4j for reliability and performance.
Neo4j Knowledge Graph Memory is a Model Context Protocol (MCP) server published by sylweriusz. It ranks #8655 of 58,832 servers tracked on MCP Toplist, and its repository has 32 GitHub stars. Neo4j Knowledge Graph Memory is listed across 2 registries — Smithery and Glama, and ships as a single rolling release with no explicit version metadata. It was first listed on Apr 9, 2025.
Ranks ahead of 50,177 of 58,832 servers on MCP Toplist.
Use Neo4j Knowledge Graph Memory
Neo4j Knowledge Graph Memory doesn’t publish a machine-readable install config. Follow the setup instructions in its repository ↗, or open one of its registry listings above.
Listed on 1 registry (1 delisted)
sylweriusz
Not versioned
This server is published through registries that do not expose explicit version metadata, and no GitHub release tags were found on the linked repository. The listing tracks a single rolling release.
Frequently asked questions
- What is Neo4j Knowledge Graph Memory?
- Store and retrieve user-specific memories across sessions using Neo4j graph database. This MCP memory infrastructure enables AI assistants to maintain context, recall past interactions, and manage memories with semantic search capabilities. Transform your agent's conversations into a searchable memory bank with entities and relationships. ### Key capabilities: - **Store memories** persistently across multiple sessions - **Retrieve context** with hybrid semantic and exact search - **Manage memory banks** with multi-database project isolation - **Recall information** through vector embeddings and graph traversal - **Memory extension** for AI agents with temporal tracking - **Knowledge graph** format with intelligent relationships Perfect for building AI assistants with long-term memory, maintaining user context, and creating memory systems that remember preferences and past interactions. Self-hosted memory infrastructure built on Neo4j for reliability and performance.
- Who maintains Neo4j Knowledge Graph Memory?
- Neo4j Knowledge Graph Memory is maintained by sylweriusz, which publishes 2 MCP servers (0 total versions) tracked on MCP Toplist.
- Is Neo4j Knowledge Graph Memory an official MCP server?
- Neo4j Knowledge Graph Memory is not on the Official MCP Registry. It is listed on Smithery and Glama.
- How many versions does Neo4j Knowledge Graph Memory have?
- Neo4j Knowledge Graph Memory ships as a single rolling release with no explicit version metadata.
- Where can I find the source code for Neo4j Knowledge Graph Memory?
- The source code for Neo4j Knowledge Graph Memory is hosted at github.com/sylweriusz/mcp-neo4j-memory-server.