nice :)
> love to hear how you did it
this is ours we built for Hedgy https://setoku.com
our approach was to build a data lake that sucks company data into clickhouse and staple that to a knowledge store. this way the brain has a stream of live facts and builds knowledge around it. we gave up on trying to make the knowledge store human-readable -- i totally think there could be something there, but for now we just care about enhancing the agent you're using. it makes my claude code very good at debugging and gives everyone a way to vibecode dashboards and small internal tools with real data.
i also run a personal instance for my wife and I that sucks in monarch money and gmail. mostly use it to chat through big money moves.
Cool. If I'm reading it right, it only allows read access? How do you get knowledge into the brain?
I'm assuming that the content you put in is all agent driven. Source files (ie, a transcript, a data log, stuff that shouldn't eery change) get recorded but the articles are some kind of agent reasoning on top of it. I don't have any interface to edit an article. Your agent does it.
And yeah I agree about not building for human consumption. The agents create and consume vasly more data than we can.
I don't do any ingestion, I figure out can automate that in a routine or a zap or whatever you want.
for knowledge writes in setoku, any agent that does queries can propose knowledge or edits. edits are flagged for admin/curator review. agents can query the pending and confirmed knowledge but basically have a flag that tells them what's been "blessed".
i like your conceptual focus on not pairing it with data. for me, it's just a practical thing: i want one tool i can have a colleague (or my wife) install that adds all the context they'll need (and then one spot I can curate and govern that context).