This directory contains samples and resources for building AI agents with Google Cloud.
The adk directory contains information about the Agent Development Kit (ADK).
The agent_engine directory contains notebooks that demonstrate how to use the Agent Engine on Vertex AI.
Notebooks:
- Get started with Vertex AI Memory Bank: Learn how to use Vertex AI Memory Bank to build stateful, context-aware conversational AI agents.
- A2A on Agent Engine: A tutorial on how to run a simple agent on Agent Engine.
- Claude with ADK on Agent Engine: A tutorial on using the Claude model with ADK on Agent Engine.
- Get Started with Code Execution: A tutorial on how to get started with code execution on Agent Engine.
- Get Started with Live API on Agent Engine: A tutorial on how to get started with a live API on Agent Engine.
- MCP on Agent Engine: A tutorial on how to use the Multi-turn Conversation Platform (MCP) on Agent Engine.
The gemini_data_analytics directory contains notebooks that demonstrate how to use Gemini for data analytics.
Notebooks:
- Intro to Gemini Data Analytics (HTTP): An introduction to using Gemini for data analytics with the HTTP API.
- Intro to Gemini Data Analytics (SDK): An introduction to using Gemini for data analytics with the Python SDK.