Researcher-Pro -Multi-Agent Research System using Google ADK 2.0 & Gemini 2.5 Flash Capstone Project

Researcher-Pro is a multi-agent autonomous research system built using Google's Agent Development Kit (ADK) 2.0 and Gemini 2.5 Flash. This capstone project demonstrates how to orchestrate multiple specialized AI agents to conduct comprehensive research tasks collaboratively. The system leverages advanced LLM capabilities to automate research workflows, coordinate between agents, and synthesize findings into actionable insights.

Key Points

• •Multi-agent architecture enables specialized agents to handle different research tasks (research, analysis, synthesis, validation)
• •Google ADK 2.0 provides the framework for agent orchestration, communication, and state management
• •Gemini 2.5 Flash serves as the underlying LLM powering agent reasoning and decision-making
• •Agents can autonomously plan research strategies, gather information, and collaborate on complex problems
• •System demonstrates practical implementation of agent-to-agent communication and task delegation patterns
• •Research workflow automation reduces manual effort and improves consistency in information gathering
• •Agent specialization allows for domain-specific expertise (e.g., data analysis, source validation, report generation)
• •Capstone project showcases production-ready patterns for enterprise research automation

Workflow Diagram

Concepts