From Agent to App in Minutes: An Open-Source UI to Ship Your Google ADK Agent

Sheikh Abdullah

Sheikh Abdullah

— 5 min read
From Agent to App in Minutes: An Open-Source UI to Ship Your Google ADK Agent
A feature image displaying the title of the blog.

At IOMechs, we build solutions that accelerate innovation. After working extensively with Google's powerful Vertex AI Agent Engine and the Google Agent Development Kit (ADK), we saw a critical challenge not for building agents, but for shipping them.

Product owners and developers create powerful AI agents, only to hit a wall: how do you get this agent into the hands of end-users for feedback, demos, or a full launch? Building a custom frontend is a slow, costly detour.

Today, we're excited to solve that problem. We are releasing a ready-to-use, open-source Streamlit chatbot application, specifically designed to get your Vertex AI agent into a shareable web app in minutes.

A Ready-Made Solution for Your End-Users

We built this tool so your team can focus on agent logic, not on front-end development. It's designed to be the simplest path from a completed agent to a live, user-facing application.

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Short demo of ADK Nexus

Key Benefits for Your Team:

  1. Instant Deployment: Go from a developed agent to a polished, functional web app without writing a single line of front-end code.
  2. User-Friendly Interface: The app provides a clean, intuitive chat experience with robust session management, allowing users to create, manage, and delete conversations.
  3. Complete Ownership & Control: As a fully open-source tool, you have total control. Clone the repository, connect your agent, and deploy it to your own infrastructure or a free service like Streamlit Community Cloud.

How to Get Started

If you've not already built an agent and deployed to Vertex AI, watch Ahsan's video tutorial below which is part of his Google Agent Development Kit for Beginners series:

We provide two flexible paths to get your agent running. The architecture is simple: our Streamlit application acts as a secure bridge between your end-user and your agent on Google Cloud.

Deploy a Shareable App for Your Users: For a permanent, shareable URL under your control, clone the repository from Github. The README.md file contains simple instructions for deployment. This is the recommended path for sharing with a team or external users.

Instantly Test Your Agent: To see how your agent performs right now, use our hosted version here: adk-nexus.dev.iomechs.com. A modal will prompt for your agent's credentials.

A form modal that prompts the user to enter their GCP credentials

Resources for Your Team

For teams just getting started with the technology, we recommend these excellent learning resources.

Future Roadmap & Community Contributions

This is an active project. Our immediate roadmap includes adding file upload support and integration for agents deployed on Google Cloud Run. We welcome community collaboration and invite you to contribute ideas or features.

Need to Go Beyond the Basics? IOMechs AI/ML & Google Cloud Consultancy

This open-source app is the perfect accelerator for demos, prototypes, and straightforward use cases.

However, when you're ready to build a production-grade product, the requirements become more complex. Our team at IOMechs specializes in exactly that. We partner with businesses to transform their AI vision into market-ready, enterprise-grade solutions.

We can help you:

  • Build a Bespoke AI Solution: Develop a custom agent and application tailored to your specific business goals.
  • Seamlessly Integrate AI: Weave your agent's capabilities into your existing products, data sources, and workflows.
  • Ensure Enterprise-Grade Security & Scalability: Deploy your solution on Google Cloud with the robustness your business demands.

If you're ready to accelerate your AI roadmap, contact us to discuss a partnership.

We're excited to see what you build with our tool. Happy building

AI:

Excellent idea. A well-crafted FAQ section is a powerful SEO tool. It directly answers questions users are typing into search engines, which can help you rank for a wider range of long-tail keywords and even be featured in Google's "People Also Ask" boxes.

Here are some suggested FAQs designed to address user concerns, build trust, and naturally lead into your consultancy services. You can place this section just before the final "Need to Go Beyond the Basics?" call-to-action.

Frequently Asked Questions (FAQ)

1. Who is this open-source UI for?

This tool is designed for product owners, developers, and teams who have built an agent with the Google Agent Development Kit (ADK) and need a fast, reliable way to create a user-facing application for it. If you need to demo your agent, gather user feedback, or launch a simple version of your product, this is the perfect solution.

2. What do I actually need to get started?

All you need are the credentials for your deployed Google ADK agent. Specifically, your agent's resource_id, location, and the service account JSON file that has permission to access it. Our README file on GitHub guides you on where to place them.

3. Is it secure to enter my agent's credentials into your hosted version?

Yes. We designed the hosted demo with security in mind. Your credentials are only stored in your browser's local storage and are never sent to or stored on our servers. For maximum security and production use, we always recommend the self-deploy option where you have full control over the environment.

4. Where can I deploy this application?

Anywhere that supports Streamlit. You can deploy it for free on Streamlit Community Cloud, or on any major cloud provider like Google Cloud Run, AWS, or Azure. You have complete control over the deployment environment.

5. Is this tool really free? What's the catch?

It's completely free and open-source under the MIT license. There is no catch. We built this to give back to the community and solve a common problem. Your only costs will be from the underlying Google Cloud services your agent uses (like Vertex AI usage).

6. Why should I use this tool instead of building my own UI from scratch?

Speed and focus. Building a custom front-end can take weeks or months. Our tool allows you to deploy a polished, functional UI in minutes. This means you can focus your resources on improving your agent's core logic and get your product in front of users faster.

7. When should I consider IOMechs' consultancy services instead of just using this tool?

You should contact us when your needs go beyond a simple chat interface. If your project requires a bespoke user experience, complex integration with your existing business systems, enterprise-grade security protocols, or a clear strategy for scaling to thousands of users, our expert team can help you build a custom, production-ready solution.

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