[kromem]

Where vector databases would make more sense for a project like AutoGPT would be in centralizing distributed memory as a 3rd party service.

If a model on one computer could report memories to a centralized service that could be searched by new instances so work didn't need to be replicated, I'd fully expect that 3rd party service to be running a vector DB.

But in reality, the issues of trust and poisoning the well are too pertinent to see enough centralized consolidation of memory to justify it for a project like this.

I've seen some discussions around E2E encrypted LLM chains, and I could definitely see a 3rd party memory layer as part of that, though I'd suppose it would need to be a plug-in at the model provider and not at the client anyways.