working on a cross web, self organizing digital footprint that serves as a human memory and identity for LLMs

https://github.com/saxenauts/persona

90 percent of the AI companion use cases today can work well with just a vector DB to retrieve facts, and chunks of memory, but a connected digital footprint would need a graph+vector hybrid.

memory in the coming future will not just be about fact retrieval but need backlinks of memetics, new streams of data, holistic analysis, infinite schema-less key value store, causal reasoning and other things that define "who and why" of a human and imitate neuroscience's understanding of how our identities work today. this then needs to be translated as language chunks to LLMs

benchmarking this against popular tools, on longmemeval. getting good results so far. i would love to learn from you guys, what's your take on identity and human representation for LLMs in the coming future