Show HN: Roampal – a local memory layer that learns from outcomes

Re:Show HN: Roampal – a local memory layer that learns from ... by talismehedi on Tuesday December 02, 2025 @11:37PM (#46130354)

14 hours ago, I posted an idea : https://www.linkedin.com/posts/mehedimdhasan_though-commerci...?

Then I was searching whether anyone had already done it or not.

Then I found this post coming up just 1 day ago.

Best of luck mate, you nailed it.

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Re:Show HN: Roampal – a local memory layer that learns from ... by roampal on Wednesday December 03, 2025 @09:39AM (#46134974)

Dude, you literally wrote the exact motivation paragraph for Roampal right around the same time I posted this

Thorndike's Law of Effect is the entire reason I built the outcome-scoring (+0.2 for worked, −0.3 for failed) and shift weighting toward proven memories. You're not half-baked — you're 100% right. I just happened to ship the PoC first.

Would love to hear your take on the cold-start problem and whether those reward magnitudes feel right in practice. Shooting you a connection request on LinkedIn if you want to swap notes.

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Re:Show HN: Roampal – a local memory layer that learns from ... by talismehedi on Wednesday December 03, 2025 @10:02AM (#46135284)

Thanks for the connection mate. Would you mind if I take the opportunity to run some academic memory benchmark on roampal in my local to see whether your idea can beat the other RL based methods?

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Re:Show HN: Roampal – a local memory layer that learns from ... by roampal on Wednesday December 03, 2025 @10:16AM (#46135444)

Absolutely, go for it!

Run whatever benchmarks you have. I would love to see how it stacks up against RL methods.

Ping me if you need help with anything.

Thanks!

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