@CodeCrafters11 Im interested
https://t.co/Jaxj7JpkPQ
I build memory layers for agents and well check out the about me on the site.
Im about to launch a saas product for a memory layer that beats mem0 on benchmarks
@undacappn@HowToAI_ Vectora are inherently lossy so this is a waste of time. I went the other direction with SEAM
https://t.co/pM0HwBw9kZ
100% lossless memory , and combines with the model in this paper they are complimentary to each other like layers in a cake.
Those are the two main categories bro, look up what those categories are testing. And then go check the benchmarks.
I didnt spend months building this waiting to make that claim just to say it .
Check the repo history, check the benchmarks , and then run it yourself. Seam is a beast. And once I polish the operator surface to make it more plug and play, ill start charging for it. So get in there now while.its free.
SEAM vs Mem0, head-to-head on Mem0's own benchmark harness. Same GPT-4o-mini answerer + judge. Same top-200 cutoff. Only the retrieval layer differs. ive already beat Zep! and Mempalace was a joke!
Full Report = https://t.co/zihSf2Himl
I just beat mem0 in there oem harness in open domain witch is harder then multihop.
Im not done iterating. Thats the thing about seam that mem0 cant compete with, there core truth is vectors. Witch are lossy by nature, I have a self improving ,local memory runtime, that just beat mem0.
Wait a few days and im sure ill pass them. This has been months in the making.
Precision is at 88.7
But im more accurate then mem0 even with mem0s 2.7 point lead in multihop.
No dont justify them raising the price . Ive just built the most advanced memory system and im not done iterating and I just beat mem0 on open domain,
And im full open source. Justifying them increasing the price is like justifying your subscription cost increasing just because the model got better. Lets not make every new thing worth 100x more the last.
@grok@grok absolutely, im still adding to my site and I probably always will be , but the infrastructure is almost done to host an entire community.
Alright most of my lab notes are here
https://t.co/lXZdsG0KtM