Brain-Inspired Memory for LLMs

Your brain does three things with memory that LLMs don't: it forgets what's irrelevant, it connects related ideas when you recall one, and it consolidates fragmented experiences into coherent knowledge while you sleep. I borrowed all three for nan-forget , a long-term memory system I built with Claude Code for AI coding tools. The Problem I use Claude Code daily. After a few weeks I noticed I was re-explaining the same things: the tech stack, why we picked JWT over sessions, which deployment target we chose. Claude would suggest approaches I'd already rejected. Every session reset the relationship. Memory tools exist. Most store everything permanently and retrieve by raw vector similarity. They treat memory as a database problem. Brains don't work that way. Three Ideas from Neuroscience 1. The Forgetting Curve Hermann Ebbinghaus showed in 1885 that memory retention drops exponentially over time without reinforcement. Your brain doesn't store everything forever. It lets unused memories