Developer builds 8-agent Python pipeline with Google ADK to expose multi-agent testing gaps

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A developer has published an open-source repository called adk-multiagent that assembles eight Python-based AI agents using Google's Agent Development Kit (ADK), a local MCP server, and a mix of hosted and local models. The project was created to study how multi-agent systems fail in subtle ways, such as hallucinated URLs, miscounted characters, or a validator unable to read the previous agent's output. Each agent is isolated in its own folder with a defined responsibility, separating model-level reasoning from code-level enforcement like path restrictions, link verification, and secret detection. The repository includes agents for blogging, SEO, RAG-based retrieval, code review, triage, and link checking, along with offline tests and flow diagrams. The author frames the project less as a showcase of agents collaborating and more as a study in control boundaries and predictable, testable agent behaviour.

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