ConferenceTechnologyAI & Machine Learning500 attendees

NODES AI

Apr 15, 2026
500

Attendees

55

Speakers

85

Sponsors

0

Exhibitors

About

NODES AI 2026 is an online conference dedicated to the future of AI with graphs. On April 15, AI practitioners will gather virtually to explore AI, context engineering, and intelligent agents.The AI conference has three dedicated tracks: Knowledge Graphs & GraphRAG, Graph Memory & Agents, and Graph + AI in Production. Expect live technical sessions and hands-on learning from leading experts and practitioners who are shaping what’s next.Whether you’re just starting your AI journey or deploying graph-powered AI at scale, you’ll find practical insights, new techniques, and inspiring ideas to help you build smarter applications.

Speakers (55)

View all 55 →
AP

Adam Pingel

Open Applications & Tools with the AI Alliance

AR

Agent Reasoning with Graph World Models

AN

Alessandro Negro

Chief Scientist

Ad

Alix de Cremoux

Machine Learning Engineer

AS

Artem Sentsov

Chief Technical Officer at Head of Technology

AP

Ashita Prasad

Developer Advocate

AV

Ashok Vishwakarma

Founder & CTO

AA

Athulya Anil

AI Researcher

AA

Aura Agents in Action

BS

Boobalan Sivaprakasam

Technical Lead

CM

Chandana Mulpuri

Sr. Security Specialist

CB

Charles Borderie

Sponsors (85)

Adam PingelAgentic AI Governance: Data Foundations & Real-Time Policy EnforcementAgentic AI with Knowledge Graphs on the JVM: A Music Graph in PracticeAgentic GraphRAG: Autonomous Knowledge Graph Construction and Adaptive RetrievalAgent Reasoning with Graph World ModelsAlessandro NegroAlix de CremouxArtem SentsovAshita PrasadAshok VishwakarmaAthulya AnilAura Agents in ActionBeyond Recall: Creating Agentic Personas with Persistent, Evolving MemoryBoobalan SivaprakasamBuilding Smarter Mobile Apps with On-device AI Agents & GraphRAGChandana MulpuriCharles BorderieChristian KniepComplex Querying of Cyber Knowledge Graph for Robust Cyber DefenseConor O'SheaDiego GironDivakar KumarEckhart BoehmeEd SandovalEventKernel: Multi-Hop Reasoning and GraphRAG for AI-Powered Event IntelligenceFrom AI Workflows to Graph-Native Reasoning: A Dify Plugin for Querying Neo4jGabriel LaffitteGhost-busting with Neo4j Graph Analytics in SnowflakeGraph AI for Visual, Actionable Enterprise Role MiningGraph + AI in ProductionGraph Memory & AgentsGraph Theory and Games: A Case Study on New York Times ConnectionsHannah Tse DebenhamHow to Build the Next Wave of Graph-Based Agentic AIInfinigraph: Vector Data at ScaleJesse OsborneJoão CunhaJoseph AguayoJoshua YuKevin KayKeynote: Announcement Coming SoonKnowledge Graphs & GraphRAGLakehouse + Graph: Delta Lake, Unity Catalog and Neo4j for Governed AI PipelinesLijimol GeorgeLuanne MisquittaLucas GodfreyMahantesh HalappanavarManuel Maguga DarbinianMarat KenzhebulatovMathumitha G SMemMachine: Agents That Learn, Memory That LastsMichael TaiMohamed FazilMoqsadur RahmanMulti-Agent Shared Graph Memory: Building Collective Knowledge for AgentsMurthy ChandrapatyNikola MilosevicPaweł GołąbPrem ChandrasekaranRajarshee DharSamantha SilvaSemiont: A Graph-Based, AI-Native Wiki and AnnotatorShafik QuoraisheeShaurya AgrawalSiddhartha Shankar DasStu MooreSudhir HasbeThe AI Agent Memory LandscapeThe Future of Enterprise AI Is Context Infrastructure, Not Better ModelsTimothy SpannTracing Agent Decisions with Graph Evals and Neo4jVaibhava lakshmi RavideshikVincent KocVivek SinghWilliam LiangWilliam LyonYolande PoirierApril 15Build Smarter, Context-Aware AI Systems• Graph + AI in Production• Graph Memory & Agents• Knowledge Graphs & GraphRAGLearn from the Frontlines of Graph + AI InnovationNODES AI 2026**Tracks include:**