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This article focuses on Neo4j's integration of AI agent memory, Model Context Protocol (MCP) servers, and skill distillation, positioning graph databases as essential infrastructure for multi-agent systems. The core technical value lies in how these features enable agents to query structured knowledge with constant token costs and maintain persistent semantic memory across complex workflows.
This Week in Neo4j: Agent Memory, MCP, Skills, Cypher and more
Check out what's new this week in Neo4j, including Agent Memory, MCP, Skills, Cypher and more
Welcome to This Week in Neo4j, your fix for news from the world of graph databases! Every Aura instance now ships with a hosted MCP server built in – so Claude Desktop, Cursor and other AI clients can query your graph with zero setup, just OAuth login and schema/read/read-write tools you control. Also in this edition: Semvec, a memory…
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