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by tylerrecall 185 days ago
Also happy to discuss the technical architecture - the entire system runs on Supabase + pgvector, with SDKs for Python, TypeScript, and LangChain. Docs are at recallbricks.com.

One interesting challenge has been balancing recall speed vs. depth. Raw vector search is fast but misses context. Full graph traversal finds everything but kills latency. The tiered approach lets us start fast and go deeper only when needed.

Always curious to hear how others are tackling agent memory!