Neo4j Agent Memory
Memory management for AI agents using Neo4j knowledge graphs for persistent contextual memory.
Neo4j Agent Memory is an officially maintained MCP server developed by Neo4j Labs in the RAG & Knowledge category. Memory management for AI agents using Neo4j knowledge graphs for persistent contextual memory. Built with Python and communicating over stdio transport, it integrates with AI assistants via the Model Context Protocol. Install via pip with `pip install mcp-server-neo4j-agent-memory`. The project has 15 GitHub stars.
Features
Category
Context7
Up-to-date code documentation for LLMs and AI code editors.
Cognee
Memory manager with graph/vector stores, 30+ data sources.
Mem0
Manages coding preferences/patterns for IDEs like Cursor.
Graphlit
Ingests from Slack/Discord/websites into knowledge graphs.
MCP Ragdocs
Vector search for documentation retrieval.
Ragie AI
Retrieves from RAG knowledge bases (e.g., Google Drive, Notion).