Simplify AI agent orchestration with Lakebase Postgres

What this post added

This post introduces the simplification of AI agent orchestration by integrating it with Lakebase Postgres. It details how using Postgres as a backing store for AI agent state and metadata within the Lakebase ecosystem streamlines the management and execution of AI agent workflows. The technical depth likely includes schema design for agent states, query optimization for retrieving agent information, and strategies for handling the volume and velocity of data generated by AI agents.