Multi-Agent Architecture and Long-Term Memory with ADK, MCP, and Cloud Run

In support of our mission to accelerate the developer journey on Google Cloud, we built Dev Signal—a multi-agent system designed to transform raw community signals into reliable technical guidance by automating the path from discovery to expert creation

In the first part of this series for the Dev Signal, we laid the essential groundwork for this system by establishing a project environment and equipping core capabilities through the Model Context Protocol (MCP). We standardized our external integrations, connecting to Reddit for trend discovery, Google Cloud Docs for technical grounding, and building a custom Nano Banana Pro MCP server for multimodal image generation. If you missed Part 1 or want to explore the code directly, you can find the complete project implementation in our GitHub repository.

Now, in Part 2, we focus on building the multi-agent architecture and integrating the Vertex AI memory bank to personalize these capabilities. We will ...