This Week in Neo4j: Ontologies, Agent Memory, GraphRAG, Visualisation and more

Neo4j’s weekly update highlights new resources and tools for graph-based AI, with recordings from the AI Engineer World’s Fair emphasizing ontologies as formal logical guardrails for more reliable agentic systems. Community contributions include AgentMemory for .NET, which adds Neo4j-backed short-term, long-term, and reasoning memory to Microsoft Agent Framework and Semantic Kernel applications, alongside an evaluation toolkit for measuring memory quality. A practical GraphRAG tutorial combines Spring AI, Neo4j, and Goodreads data to demonstrate vector search and graph traversal while addressing implementation pitfalls, and Neo4j Bloom now supports whole-graph projections for database-wide algorithms such as centrality and community detection. The update also profiles identity threat detection startup Icite, promotes GraphAcademy courses and webinars, recognizes community member Hamza Farooq’s work in NLP and multimodal systems, and lists upcoming livestreams, conferences, and meetups.

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