# This Week in Neo4j: NODES 2026, Agent Memory, GraphRAG, Knowledge Layer and more > Source: > Published: 2026-09-18 20:00:00+00:00 # This Week in Neo4j: NODES 2026, Agent Memory, GraphRAG, Knowledge Layer and more Staff Community Manager 3 min read Welcome to This Week in Neo4j, your fix for news from the world of graph databases! [Road to NODES 2026](https://neo4j.registration.goldcast.io/series/94f27929-1670-4f2b-bfdd-ab4e48eb8c22?utm_source=database&utm_medium=email&utm_campaign=dev) is here – free two-hour workshops on GraphRAG, agentic systems and memory running all October, warming you up for the 24-hour virtual conference on November 12 with 100+ speakers (agenda is also published to you to explore!). Also this week: a self-learning multi-agent series digging into what actually flows through the Meta Knowledge Graph, from semantic-layer grounding to gated, contradiction-checked memory; NICD research showing lightweight graph structures can nearly double multi-hop answer rates over vector-only RAG; and a new enterprise knowledge layer series, modeling roles rather than people as the load-bearing nodes behind any governed AI agent. Happy Graphing, Alexander Erdl ##### COMING UP! - **Livestream** :[Neo4j Live: AgentMemory for .NET: Persistent AI Agent Memory Engine](https://youtube.com/live/6k096_wfHCY) on September 30 - **Conferences** : Find us at[Java Forum Nord](https://javaforumnord.de/2026/) on September 22,[AI Summit Barcelona](https://aisummitbarcelona.com/) on September 22-23,[AI Engineer Paris](https://www.ai.engineer/paris/2026) &[Big Data London](https://www.bigdataldn.com/) on September 23-24,[The Developer Conference](https://thedevconf.com/tdc/2026/sao-paulo/) on September 23-25,[WeAreDevelopers](https://www.wearedevelopers.com/world-congress-north-america/agenda/sessions/building-world-aware-robots-with-agent-memory-and-context-graphs-1220041) on September 24-25 &[AI Conference](https://aiconference.com/) on September 29-October 1 - **Meetup** : Meet us in[Paris, FR](https://luma.com/ai-builders-paris-sept) on September 21,[San Francisco, US](https://luma.com/utwyaywv) on September 22,[Richmond, US](https://www.meetup.com/richmond-java-users-group/events/315682428/) on September 23,[Munich, DE](https://www.meetup.com/de-de/munich-datageeks/events/316577539) on September 24,[Bengaluru, IN](https://globalai.community/e/bd1o37ln) on September 26 &[Madurai, IN](https://gdg.community.dev/events/details/google-gdg-cloud-madurai-presents-unlocking-google-gemini-building-enterprise-ready-agents/) on October 3 - **All Neo4j Events** :[Webinars and More](https://neo4j.com/events/) ##### **FEATURED COMMUNITY MEMBER: [Luis Latorre](https://www.linkedin.com/in/joslat/)** [Luis Latorre](https://www.linkedin.com/in/joslat/) Jose is a Dev Community Lead & Agentic Architect at Swiss Life AG and Microsoft Agent Framework contributor, bringing hands-on lessons on building measurable, production-ready AI agents. Connect with him on [LinkedIn](https://www.linkedin.com/in/joslat/). He recently built [AgentMemory for .NET](https://neo4j.com/blog/developer/agentmemory-for-net-a-native-sibling-to-neo4j-agent-memory/), a native .NET implementation inspired by Neo4j Agent Memory, which brings graph-native short-term, long-term and reasoning memory to Microsoft Agent Frameworks – he will also be showcasing this in the live stream end of September! ##### NODES 2026: [Road to NODES 2026 and Agenda published](https://neo4j.registration.goldcast.io/series/94f27929-1670-4f2b-bfdd-ab4e48eb8c22?utm_source=database&utm_medium=email&utm_campaign=dev) The [NODES 2026 agenda](https://neo4j.com/nodes/agenda/) has dropped: a free 24-hour virtual conference on November 12 with 100+ speakers across tracks on AI Engineering, Data Intelligence, and Modern Applications – real-world sessions on multi-agent workflows, GraphRAG, context graphs and knowledge graph construction, running across Asia-Pacific, Europe and Americas time zones. To get ready, explore our free “Road to NODES” workshop series running throughout October: hands-on, two-hour sessions on GraphRAG, agentic systems, reasoning, memory and production-ready graph+GenAI patterns. ##### AGENT MEMORY: [The payload: the semantic layer, memory, and the loop that fills it](https://neo4j.com/blog/genai/the-payload-the-semantic-layer-memory-and-the-loop-that-fills-it/) Part 2 of the self-learning multi-agent series from Tomaž Bratanič that digs into what actually flows through the Meta Knowledge Graph: a semantic layer (Neocarta) that gives agents business meaning on top of raw schemas and a three-pass memory system that captures every session, distills tool failures into reusable fix patterns and gates durable “learnings” behind contradiction checks and human review before they can rewrite an agent’s persona. It’s a detailed, opinionated look at how to make agent memory earn its place rather than just accumulate. ##### GRAPHRAG: [From Agent Memory to Portable Skills](https://neo4j.com/blog/genai/from-agent-memory-to-portable-skills/) Roberto Zicari interviews Dr. Jacek Cała from the National Innovation Centre for Data (NICD) to dig into [NICD’s research](https://neo4j.com/whitepapers/nicd-reducing-hallucinations-graphrag/) showing that even a lightweight, simple graph structure can halve hallucination rates and push answer rates on complex multi-hop questions from 29% to nearly 66%, compared to vector-only RAG. Cała explains why reliable links beat brute-force vector similarity for multi-hop reasoning, and is refreshingly candid about where the findings do and don’t generalise to messy enterprise data. ##### KNOWLEDGE LAYER: [The knowledge layer for enterprise AI: Operating structure](https://neo4j.com/blog/genai/the-enterprise-knowledge-layer-operating-structure/) Chapter one of a series building a full enterprise knowledge layer, starting with the “who and what” – business units, teams, roles, and reporting lines – modelled as a live, queryable graph instead of a stale org-chart slide. Using a fictional bank as the running example, Morgan shows why roles (not people) should be the load-bearing nodes, and why this layer is the precondition for any governed, accountable AI agent acting inside a business. ##### STARTUPS: [Hexology](https://www.linkedin.com/posts/hexology_culturalheritage-globaldigitalcitizenship-activity-7504122093408776192-k01K) This week, Hexology presented at the V&A. Founder and CEO Darrel Butlin spoke at the museum’s one-day conference on Ukrainian cultural heritage and UK institutions, presenting “Interpreting Ukrainian Cultural Heritage Through Geospatial Digital Media.” He set out a citizen-led model trialled with academic partners in the UK and Ukraine: location-based micro-collections that document Ukrainian heritage and push back against cultural erasure. Hexology is a UK startup whose app pins digital media to physical places. Hexology also won an Innovate UK / DCMS Create Growth Award. ##### CONTINUOUS LEARNING - **GraphAcademy** : Build an ontologically sound[agent memory graph system](https://graphacademy.neo4j.com/courses/workshop-agent-memory-90) , give any agent the power to record memories and decision traces, use a memory-enabled agent to build a custom agent, and distil it all as a skill. - **Learn on Your Schedule** : Go deeper into graph intelligence on Neo4j’s[On-Demand webinar library](https://neo4j.com/events/on-demand/?_event_level=intermediate) - **Workshops** : Join our virtual classrooms workshops[from Fundamentals to GenAI](https://neo4j.com/events/?_event_type=workshops) - **New Webinar** : Turn complex documents into scalable knowledge graphs –[Americas](https://go.neo4j.com/WBR-EDU-260929-Scalable-knowledge-graphs_Registration.html) ,[Europe, Middle East & Africa](https://go.neo4j.com/WBR-EDU-260929-Scalable-knowledge-graphs-EMEA_Registration.html) ,[Asia Pacific](https://go.neo4j.com/WBR-EDU-260929-Scalable-knowledge-graphs-APAC_Registration.html) ##### POST OF THE WEEK: [Alan Smith](https://bsky.app/profile/alanbsmith.bsky.social) A tangible example: I built a prototype graph database for all our 800+ icons. Then I put an MCP server in front of the database so we could query it deterministically and with natural language. You can see all the tags on our arrow-up icon and all the icons tagged with “direction.” — Alan B Smith ([@alanbsmith.bsky.social](https://bsky.app/profile/did:plc:3dpbdojqyfmc5smpvw3sln4l?ref_src=embed)) [10. September 2026 um 05:52](https://bsky.app/profile/did:plc:3dpbdojqyfmc5smpvw3sln4l/post/3mv55myjg2c2t?ref_src=embed) Please share it if you like it!