How to Build a Custom Unified Agent Memory with MongoDB and Graph Traversal
The post walks through building a unified agent memory from the ground up using MongoDB for text, vector, and graph storage, and a graph database for deep traversal. It shows why existing tools like Graphiti or mem0 still fall short and how a custom pipeline can give you fine‑grained control over ingestion, deduplication, and query serving.