Long term memory

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  1. What’s the best cloud database provider for implementing long-term memory?
  2. What are the most efficient strategies currently for applying memory? For example, using a combination of techniques like trim-filtering + base storage + semantic search?
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I’ve been thinking about this too. Most answers focus on where to store memory (cloud DBs, vector search, etc.), but less on what should even be stored.

I’ve been testing a different angle: instead of saving everything and then trimming/embedding, only log failure points — contradictions, reasoning gaps, unknowns. That way you don’t drown the DB in noise, but you still preserve the moments that actually matter for reasoning.

Curious if anyone here has tried “failure-only memory” as a complement to semantic search / base storage? It seems like it could keep long-term memory lean and auditable.

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Interesting approach. I’ll give it a try.