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Adk Memory Bank Initializer

Helps developers implement the long-term memory layer by providing the boilerplate code for the VertexAiMemoryBankService and the save_session_to_memory_callback.

GoogleCloudPlatform d2d424d 2 files · 2.3 KB Updated
AI & ML

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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.

googlecloudplatform/devrel-demos/tree/main/ai-ml/dev-signal/.agent/skills/adk-memory-bank-initializer commit d2d424d94e

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npx skillmds@latest add googlecloudplatform/adk-memory-bank-initializer