Vector databases excel at retrieval, but they can't provide complete history, explain causality, or show how knowledge evolved—critical gaps that lead to agent hallucinations and unreliable reasoning.
We'll introduce the Durable Memory Stack, an event-driven architecture where Kafka's commit log becomes the source of truth for agent memory and Knative Eventing orchestrates workloads. The key innovation is Change Context Capture—a pattern that extends CDC to preserve not just updates, but the reasoning behind them.
Using Kafka, Knative, Debezium, and OpenTelemetry, we'll demonstrate:

Replaying agent decisions to debug failures in production
Continuous RAG synchronization through events
Giving agents access to how and why information changed

Learn how cloud-native event-driven patterns unlock more reliable and intelligible AI agents on Kubernetes.