wehub-resource-sync
32 lines
1.8 KiB
Markdown
32 lines
1.8 KiB
Markdown
# Agents
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This directory contains samples and resources for building AI agents with Google Cloud.
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## Subdirectories
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### adk
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The `adk` directory contains information about the Agent Development Kit (ADK).
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### agent_engine
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The `agent_engine` directory contains notebooks that demonstrate how to use the Agent Engine on Vertex AI.
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**Notebooks:**
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- [Get started with Vertex AI Memory Bank](agent_engine/memory_bank/get_started_with_memory_bank.ipynb): Learn how to use Vertex AI Memory Bank to build stateful, context-aware conversational AI agents.
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- [A2A on Agent Engine](agent_engine/tutorial_a2a_on_agent_engine.ipynb): A tutorial on how to run a simple agent on Agent Engine.
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- [Claude with ADK on Agent Engine](agent_engine/tutorial_claude_with_adk_on_agent_engine.ipynb): A tutorial on using the Claude model with ADK on Agent Engine.
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- [Get Started with Code Execution](agent_engine/tutorial_get_started_with_code_execution.ipynb): A tutorial on how to get started with code execution on Agent Engine.
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- [Get Started with Live API on Agent Engine](agent_engine/tutorial_get_started_with_live_api_on_agent_engine.ipynb): A tutorial on how to get started with a live API on Agent Engine.
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- [MCP on Agent Engine](agent_engine/tutorial_mcp_on_agent_engine.ipynb): A tutorial on how to use the Multi-turn Conversation Platform (MCP) on Agent Engine.
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### gemini_data_analytics
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The `gemini_data_analytics` directory contains notebooks that demonstrate how to use Gemini for data analytics.
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**Notebooks:**
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- [Intro to Gemini Data Analytics (HTTP)](gemini_data_analytics/intro_gemini_data_analytics_http.ipynb): An introduction to using Gemini for data analytics with the HTTP API.
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- [Intro to Gemini Data Analytics (SDK)](gemini_data_analytics/intro_gemini_data_analytics_sdk.ipynb): An introduction to using Gemini for data analytics with the Python SDK.
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