Memgraph

Memgraph is an in-memory graph database that provides real-time graph analytics and AI context, solving the problem of connecting and querying structured data for AI workloads. It targets developers, data teams, and enterprises needing high-performance graph processing. It is positioned as a high-performance, in-memory solution with ACID compliance and sub-millisecond traversals, complementing vector search with structured context.

Key features

• In-memory graph storage
• Real-time graph analytics
• Vector search integration
• GraphRAG support
• AI memory (semantic, episodic, procedural)
• Agentic AI reasoning
• ACID compliance with persistence
• Sub-millisecond traversals
• High throughput reads and writes
• Graph algorithms (e.g., shortest paths)
• Visual graph management with Memgraph Lab
• Zero ETL data ingestion
• Python and NetworkX integration
• Enterprise security and HA