adk-memory-bank-initializer
Skill397 starsChanged 12 days agoApache-2.0View on GitHub
Helps developers implement the long-term memory layer by providing the boilerplate code for the VertexAiMemoryBankService and the save_session_to_memory_callback.
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The file
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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:
- Service Initialization: Setting up the
VertexAiMemoryBankServicewith the correct project and location. - Persistence Callback: Implementing a defensive
save_session_to_memory_callbackthat runs after every turn. - Agent Configuration: Passing the
memory_serviceto theRunnerorApp. - Tool Selection: Using
LoadMemoryToolandPreloadMemoryToolto manage context recall.
Python Boilerplate
Refer to the included scripts/memory_config.py for the standard implementation pattern.
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