Testing a Spatial Memory Index for Strap
One of the pieces I still need to build for strap is a long-term memory store. As I’ve written about before, strap compresses context to work within small token budgets. But context compression only handles what’s in the current conversation. The bigger question is how to surface relevant memories from past sessions.
The obvious approach is brute-force cosine similarity over sentence embeddings. It works for a small number of stored memories, and it’s fast enough. But I got curious whether a spatial index could do better, and whether you could make that index inspectable at the same time.