memU is a framework that provides AI agents with long-term memory by organizing information into a hierarchical structure (Resources, Items, Categories) rather than a simple list of vectors. Acting as a central brain, it manages the digestion of raw data into structured facts and the retrieval of relevant context using a modular, pipeline-based workflow engine.
memU is organized as connected concepts and components. Start broad, then drill down chapter by chapter.
memU is a framework that provides AI agents with long-term memory by organizing information into a hierarchical structure (Resources, Items, Categories) rather than a simple list of vectors. Acting as a central brain, it manages the digestion of raw data into structured facts and the retrieval of relevant context using a modular, pipeline-based workflow engine.
Source Repository: https://github.com/NevaMind-AI/memU
Follow sequentially or jump to any topic. Start with Hierarchical Data Model (The Memory File System).
This tutorial was automatically generated by Code IQ and rendered with the shared tutorial site builder. It can be produced for any repository tutorial folder that follows the numbered markdown chapter layout.
View Code IQ ↗