googlecloudplatform/adk-memory-bank-initializer

adk-memory-bank-initializer

This skill helps you integrate long-term persistence into your AI agent using the Vertex AI Memory Bank. It ensures your agent "remembers" user preferences across sessions.

Usage

Ask Antigravity to:

• "Initialize the memory bank for my agent"
• "Add a persistence callback to my root agent"
• "Set up VertexAiMemoryBankService"

Memory Integration Pattern

The integration involves:

1. Service Initialization: Setting up the VertexAiMemoryBankService with the correct project and location.
2. Persistence Callback: Implementing a defensive save_session_to_memory_callback that runs after every turn.
3. Agent Configuration: Passing the memory_service to the Runner or App.
4. Tool Selection: Using LoadMemoryTool and PreloadMemoryTool to manage context recall.

Python Boilerplate

Refer to the included scripts/memory_config.py for the standard implementation pattern.