Comment on: Second Brain for AI

Semantic retrieval over stored context beats keyword search for memory, and the dedup layer is a smart addition since AI workflows generate a lot of overlapping notes. We've wrestled with context window management in multi-step AI tasks too: deciding when to summarize vs. fetch older context is genuinely tricky. How does the similarity threshold work when memories partially overlap? Can users tune it?