In this demo, multiple AI agents are integrated using Google’s Agent Development Kit (ADK) and the Agent-to-Agent (A2A) protocol, where GitGuardian scans for content secrets. This innovative approach eliminates hardcoded workflows; an LLM dynamically orchestrates interactions among three specialized agents: a Research Agent for information gathering, a Writer Agent for content creation, and a Security Agent for secret scanning.
With A2A, agents communicate securely across diverse platforms, enhancing workflow automation and efficiency. The demo highlights dynamic agent discovery via a registry service, enabling the LLM to adaptively choose the execution order while maintaining essential production guardrails. Security scans are consistently executed, demonstrating GitGuardian’s effective detection of exposed secrets. This model-agnostic framework supports various LLMs, ensuring flexibility for different applications.
Explore the demo’s code and see how dynamic, LLM-driven orchestration can revolutionize multi-agent systems today: GitHub.
