When an AI agent fails in production, the hardest question is: where did the reasoning go wrong? Most agentic systems store state — what the agent knows right now — but not the ordered history of how it got there. That gap is the difference between a system you can debug and one you're just hoping works.
This session introduces the durable commit log as the foundational architecture for trustworthy agent systems. Every tool call is a transaction. Every context update is a commit. Every decision is a delta. When you treat the event stream as the source of truth — with vector databases and KV stores as downstream projections — you gain three capabilities that are otherwise expensive to engineer: replay (rewind and re-run agent history), forking (branch from any point to explore alternative reasoning paths), and unified observability (a single trace across the full data path, not three siloed logs).
We'll cover practical implementation patterns, why this logic belongs at the connectivity layer rather than inside the agent framework, and what governed event infrastructure means for compliance in regulated environments.