Bio
William Lyon is a Product Manager for AI Innovation at Neo4j, where he is building graph intelligence for AI agents. He is the author of the book Fullstack GraphQL and has a masters degree in computer science from the University of Montana. You can find him online at lyonwj.com
Session (1)
Additional Speaker Details
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Will Lyon builds graph-intelligence tooling at Neo4j, focused on agent memory expressed as a "context graph" — capturing not just data but the reasoning trace behind AI agent decisions. His recent work pairs hands-on, shippable open source (the create-context-graph CLI scaffold, neo4j-agent-memory, an OpenClaw memory plugin) with a clear architecture of short-term, long-term, and reasoning memory, demonstrated in full-stack apps spanning FastAPI, Next.js, and Claude agents.
Speaking style
Recent talks (3)
GitHub
@johnymontana- johnymontana/fullstack-graphql-book★ 105Code and exercise solutions from the book Full Stack GraphQL Applications, published by Manning
- johnymontana/context-graph-demo★ 83AI-powered Decision Tracing For Financial Institutions
- johnymontana/willow-grandstack★ 64Real Estate search application using GRANDstack
- johnymontana/openclaw-neo4j-agent-memory-plugin★ 34Graph native short-term, long-term, and reasoning memory powered by neo4j-agent-memory
- johnymontana/geospatial-graph-demos★ 21Map-based demos to showcase geospatial functionality in Neo4j
Recent writing (6)
- Give Your Vercel Eve Agent a Memory: Building a Context Graph with NAMS · blog · Jun 2026
- Introducing Create Context Graph: AI Agents With Graph Memory, Scaffolded In Seconds · blog · May 2026
- When Your Agents Share a Brain: Building Multi-Agent Memory with Neo4j · blog · Apr 2026
- Building an AI Agent with Memory: Microsoft Agent Framework + Neo4j · blog · Apr 2026
- Meet Lenny's Memory: Building Context Graphs for AI Agents · blog · Feb 2026
- Hands On With Context Graphs And Neo4j · blog · Jan 2026