How to Build Production-Ready Multi-Agent Systems with Agno and Milvus

This post details the integration of Milvus with the Agno framework for building production-ready multi-agent systems. It showcases how Milvus serves as a scalable memory layer for AI agents, providing native support within Agno for connection management, retries, batch writes, and embedding generation. The post demonstrates deploying Milvus standalone with Docker and implementing a knowledge assistant agent using Agno and Milvus, highlighting the step-by-step process and testing the end-to-end flow. It also discusses how retrieval results are shared across agents in Agno's Team mode and the operational benefits of decoupling Agno (conversation/orchestration) from Milvus (knowledge storage).