lakebase-setup

What problem does it solve?

Lakebase setup provides a structured path to add short-term and long-term memory for an agent, enabling stateful conversations and persistent knowledge across sessions without rebuilding memory infrastructure manually.

Core Features & Use Cases

• Short-term memory: Keep per-thread conversation history to maintain context during a session.
• Long-term memory: Persist user facts across sessions using AsyncDatabricksStore.
• Deployment guidance: Step-by-step instructions to configure databricks.yml, app.yaml, and environment variables, initialize memory tables, and deploy the app.
• Use Case: Build production-grade agents that remember user preferences and past interactions.

Quick Start

Configure Lakebase by updating databricks.yml and app.yaml, initialize the memory store, and deploy your agent.