This inaugural Context Graph Meetup in San Francisco brings together researchers, engineers, and early adopters exploring context graphs as an emerging agentic architecture pattern. The discussion will focus on model agentic workflows, maintaining structured and evolving context, and enabling more consistent reasoning, coordination, and decision-making in AI systems.

This meetup highlights current research advancing context graphs for AI systems. We’ll explore emerging approaches to memory representation and multi-step reasoning, and examine the open challenges in making these architectures robust and reproducible.

The evening will feature four technical talks about context graphs, followed by open discussion and Q&A. We’ll wrap up with informal networking.

Agenda

5:00 pm – Checkin & Networking
5:20 pm – Introductions & Welcome
5:30 pm – Talks
- Building Context Graphs for AI Agents, Will Lyon, Neo4j
- Context Graph and Process Knowledge, Jessica Talisman, Owner and Founder, Contextually LLC. Her Research.
- Context graphs as the control plane for the agentic enterprise, Dave Bennett, Indykite
- Automatic Ontologies: Build the Context Graph for Trustworthy AI Agents, Yann Bilien, Rippletide
7:30 pm – Panel Discussion with Speakers
8:00 pm – Wrap-up & Closing Conversations

Space is limited and entry will be granted on a first come, first served basis.

Hope to see you there!

Context Graph Decision Tracing for AI Agents