Charanmu Jeevan

Posted on Jul 8

AI AGENT FOR THE FUTURE

#agents #buildmultiagents #gemini #adk

Education Track: Build Multi-Agent Systems with ADK

Building a Multi-Agent AI Assistant with Google's ADK

This post is my submission for **DEV Education Track: Build Multi-Agent Systems with ADK.

What I Built

I built a Multi-Agent AI Assistant using Google's Agent Development Kit (ADK). Instead of relying on a single AI model to perform every task, this application distributes work across multiple specialized agents that collaborate to produce accurate and organized results.

The system accepts a user query, performs research, analyzes the collected information, verifies important details, and finally generates a structured response. This modular approach makes the application easier to maintain, extend, and improve.

Features

Multi-agent collaboration
Intelligent task routing
Research and information gathering
Content analysis and summarization
Response validation
Structured final output

Cloud Run Embed

After deploying your application to Google Cloud Run, replace the placeholder below with your deployment URL.

<dev-cloud-run
  src="YOUR_CLOUD_RUN_URL"
  label="Multi-Agent AI Assistant">
</dev-cloud-run>

Your Agents

🧠 Coordinator Agent

Acts as the entry point for the system. It understands the user's request and assigns tasks to the appropriate agents.

🔍 Research Agent

Collects relevant information related to the user's query and gathers useful context.

📊 Analysis Agent

Processes the collected information, extracts key insights, and removes unnecessary details.

✅ Verification Agent

Reviews the generated information for consistency and improves the overall reliability of the response.

📝 Report Agent

Combines the outputs from all agents into a clean, well-structured response for the user.

Workflow

User Query
      │
      ▼
Coordinator Agent
      │
      ▼
Research Agent
      │
      ▼
Analysis Agent
      │
      ▼
Verification Agent
      │
      ▼
Report Agent
      │
      ▼
Final Response

Tech Stack

Google Agent Development Kit (ADK)
Python
Gemini API
Google Cloud Run
GitHub

Key Learnings

Working with multiple AI agents was a valuable learning experience. I discovered that assigning clear responsibilities to each agent produces cleaner workflows and makes debugging much easier than building one large monolithic assistant.

One challenge was ensuring that each agent received the right context without unnecessary information. Designing clear communication between agents significantly improved the quality of the final output.

Google ADK provides a straightforward framework for orchestrating agents, allowing developers to focus on agent logic rather than complex coordination code.

Future Improvements

Add conversational memory
Integrate external APIs
Support document and PDF analysis
Add voice interaction
Improve monitoring and logging
Deploy a production-ready version with authentication

Conclusion

This project demonstrates how Google's Agent Development Kit (ADK) can be used to build intelligent, collaborative AI applications. By dividing complex tasks among specialized agents, the system becomes more scalable, maintainable, and capable of producing higher-quality responses than a single-agent approach.

Thank you for reading! Feedback and suggestions are always welcome.

DEV Community