Why Clawdbot Went Viral — And How to Build Production-Ready Long-Running Agents with LangGraph and Milvus

This post demonstrates the practical application of Milvus as a semantic memory store for long-running AI agents. It details how Milvus, specifically Milvus Lite for local development and distributed Milvus for production, can be used to embed and retrieve progress records and git commits, providing agents with persistent, cross-session knowledge. The post highlights Milvus's capabilities in handling billions of vectors, supporting hybrid search for combining vector similarity with traditional filtering, and its role in enabling agents to recall relevant past information for complex tasks.