memU

memU is an open-source memory framework for AI agents that actually tackles one of the biggest pain points in this space: LLM token costs. The three-layer file-system-like architecture is a clever mechanism that lets agents build persistent, anticipatory memory instead of stuffing every conversation into the context window, and the 92.09% accuracy on Locomo isn't just noise — it puts real distance between them and the sea of generic agent tools floating around. This is the kind of infrastructure piece that matters when you're building assistants that need to actually remember things across sessions rather than starting from zero every time.