Google-Cloud-AI

Google-Cloud-AI / agent-platform

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A curated list of code samples and tutorials for building agents on Gemini Enterprise Agent Platform (previously Vertex AI).

docs.cloud.google.comgemini-enterprise-agent-platform agentic agentic-ai agents enterprise gemini
18
2
100% credibility
Found Apr 23, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A curated collection of tutorials, videos, and links to guides for building, scaling, securing, and improving AI agents using Google's Gemini Enterprise Agent Platform.

How It Works

1
🔍 Discover AI Agent Guides

You find Google's friendly collection of guides and videos for creating smart AI helpers that handle tasks for you.

2
📺 Watch Intro Video

You watch a short video that explains how these tools turn ideas into helpful AI agents, getting you excited to start.

3
Pick Your Building Style
🎨
Visual Builder

Use a no-code tool to visually design your agent like building with blocks.

📝
Guided Examples

Follow ready-made recipes and tutorials to craft your agent hands-on.

4
🔗 Connect Smarts and Data

You link your agent to real information, other helpers, or tools so it can think and act usefully.

5
🚀 Bring Your Agent to Life

You launch your agent and watch it perform tasks, feeling thrilled as it responds just like you imagined.

6
📊 Make It Stronger and Safer

You learn tips to keep your agent reliable over time, secure, and improving with tests and watches.

🎉 AI Agent Success

Your smart agent is now working smoothly, helping with everyday tasks and growing better each day.

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AI-Generated Review

What is agent-platform?

This GitHub repo is a curated list of code samples, notebooks, and tutorials for building AI agents on Google's Gemini Enterprise Agent Platform (formerly Vertex AI), an agent orchestration platform for enterprise-scale agent development. It covers turning code into agents with tools like the open-source Agent Development Kit, low-code Agent Studio, and protocols such as A2A for multi-agent coordination and MCP for tool integration. Developers get quick links to Python notebooks on Gemini models, RAG engines, vector search, agent runtime, memory banks, and governance features like Agent Gateway—solving the scattered-discovery problem in agent platform architecture.

Why is it gaining traction?

Unlike scattered agent platform open source repos or OpenAI-focused alternatives, this offers official Google-curated intel on a full-stack agent platform, from build (Agent Garden pre-builts) to scale (Agent Runtime) and govern (Model Armor). The hook is one-stop access to enterprise-grade features like Agent2Agent Protocol and Agent Sessions for reliable multi-turn interactions, plus notebooks for real-world tasks like grounding and evaluation—making agent platform comparisons easier for Google Cloud users.

Who should use this?

Enterprise AI engineers prototyping agent workflows on Gemini, backend devs needing agent platform login and identity management for secure deployments, or teams building ai agent management platforms with RAG, vector search, and sandboxed code execution. Ideal for those evaluating agent platform advisor tools or migrating from Vertex AI notebooks.

Verdict

Skip if you need production code—it's just a curated list with 18 stars and 1.0% credibility score, pointing to external notebooks and docs (some previews). Worth bookmarking as a starter map for Gemini agent platform devs, but pair with the linked generative-ai repo for hands-on work.

(178 words)

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