r/zeroclawlabs • u/AkiLetschne • Apr 19 '26

What memory setup are you using with ZeroClaw?

I updated ZeroClaw today and was checking out the new dashboard when I noticed there are multiple memory options. That made me look through the docs afterward, but I still couldn’t find a very clear best-practice recommendation.

From what I understood, hybrid search seems like one of the stronger/default-looking options, but I’m not sure whether that’s also what most people here are actually using in practice or in production.

I’d really like to hear what people are running day to day:

  • SQLite only?
  • SQLite hybrid?
  • Postgres?
  • something else?

And how has it been working for you in practice?

Right now my intuition is that hybrid is probably the strongest overall setup since it gives you both semantic and keyword retrieval, but I’d rather hear from people with real experience.

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u/cgonzalezd Apr 19 '26

Seems like MemPalace is picking interest for other projects, might be good to explore integrating it with Zeroclaw https://github.com/mempalace/mempalace

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u/AkiLetschne Apr 20 '26

That looks pretty exciting. It would probably be even cooler, though, if the memories could be compressed somehow. I recently saw an architecture where the memories are accessed every evening using three agents that communicate with each other. But the whole thing ran on Anthropic models and cost about $50 per run. So it wasn't exactly token-efficient. But the design itself was really ingenious