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Really interesting to see, because about 2 months ago I had a very similar idea, just with a bit more opinionated shape of the graph and context building, but more focused on the research and decision-making part. I started the development, but my focus eventually landed on a completely different aspect of that system.

So I have to ask, how well do you see it performing so far with regard to actually sticking to the data present in the system? Do you find the AI agents to adhere properly to the existing data?

On a similar note, can the "consensus" of the system be adjusted in a way where we keep the knowledge which was true at time T (decision provenance), but we avoid having that bit of information affect current decision making?

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It's doing a great job. It has built itself with itself, the story is here

http://notactuallytreyanastasio.github.io/deciduous/story.ht...

the time-relevant stuff is all well beyond anything it does. It keeps confidence weights and decision paths and can analyze those.

I've also been using it at work with pretty great success.

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Cool name, with both hints at "decid[e]" and the graphs.

I'd be interested in integrating this with bug systems of decisions / goals, with actions being comments on those bugs (for work purposes) instead of having a custom deciduous-only DB.

Is this meant to be open source? I don't see a LICENSE.

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