NODES AI 2026: Agent Interaction Graphs: Evaluating Multi-Agent Systems with Graph-Based Reasoning

Multi-agent systems fail for a multitude of reasons from agent-to-agent communication, tool use, hallucination, and complex multi-turn user conversations. Logs and traces are necessary but not sufficient as conversations create a needle-in-a-haystack problem and no automatic root cause analysis. In this session, we model agent executions as an interaction graph in Neo4j and use this knowledge graph, attach our evaluations and run graph queries to pinpoint critical issues, recurring failure points and bottlenecks based on deep contextual relevancy from a graph. Turns agent evaluation from a spreadsheet into a navigable graph.

NODES AI: https://neo4j.com/nodes-ai/

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