Graph Exchange, Fall 2025 - Agentic AI Memory
Graph Exchange is an innovative mini-conference+unconference on Graph-powered AI Agents, Knowledge Graphs, GraphRAG, and all ways where graphs underpin the modern GenAI stack. Brought to you by Neo4j, the category-defining graph database, we’ll review key use cases for graphs and bring together the leading graph experts.
In this Fall Edition, we'll explore AI Memory, that Andrej Karpathy tried to rename as Context Engineering. We'll have several speakers from the Ai Engineer GraphRAG Track, lead by Vasilije Markovic of Cognee, who'll set the stage.
We'll feature a brand new Deeplearning.AI course on agentic graph memory, and you'll come home equipped with the tools to build the most exciting AI startups of tomorrow with agents who understand, remember, and know what they are doing.
We start with the talks setting the theme of Context Engineering and AI Memory.
Vasilije Markovic, Founder, Cognee.
Introducing AI memory and context engineering, with Cognee as an example.
Vasilije is a founder who went back to school to study Cognitive Science to build memory for AI age that works for both agents and humans.
Cameron Pfiffer, Developer Relations, Letta
AI, stateful agents, knowledge graphs, Letta, neo4j, MCP, and other such buzzwords
Basically, I'll be showing how to connect a Letta agent to neo4j using MCP. I'll show the agent constructing its own knowledge graph, live.
Cameron is or has been an alpaca rancher, a Stanford PhD, an ultramarathoner, a pianist, and a creator of self-expanding graphs which look eerily like AGI.
More talks coming!
After the talks (a “conference”) part we go to an unconference, splitting unto two circles on reasoning and memory, and discuss use cases and topics that the participants bring and that we vote on to discuss as a group.