Viewing profile — mjbonanno

sniderwebdev, Thank you!

Wanted to follow up on this... I dug into the codebase after your comment. You're right that the data is all there (last_access, access_count, raw Ebbinghaus relevance score, prove…

@xing_horizon Thanks! I really appreciate the feedback. You're spot on that downstream agents need clear signals to decide whether to trust, refresh, or ignore a recalled memory. R…

This is the project I just posted. Happy to dive into any details... the exact ACT-R decay formula, how the Hebbian graph updates in log space, the 6-phase Activate pipeline, or wh…

Hi HN, After building several AI agent systems, I kept running into the same frustration: memory layers that are either static vector stores or fragile prompt hacks. Retrieval is o…

Go is my Go-to lately :-)

This is cool. I am playing around with Bubble Tea in Go today.

Oof, $82k in 48 hours is brutal. Makes me even more glad I run everything local where possible.

The privacy angle here is fascinating. Curious if anyone has tried running the on-device model locally yet?

This is awesome! Exactly the kind of low-latency agent tooling I've been looking for. How are you handling long-term memory/context between calls?