Garry Tan#270
Hey Garry, GBrain already covers more than half of the lift for this already!
There are 2 main components: 1. Memory indexing (embedding/enrichment) during ingestion 2. Accurate, Low latency, cost-effective Retrieval using the enriched embeddings
I measured GBrain across industry benchmarks LoCoMo, LongMemEval, and the “hardest” one Memory Agent Bench (MAB) — did you know your system crushes some of the leading Labs out there on MAB?
Happy to share the data any time. Invested like $500 to run your system on those benchmarks and get the data because I was genuinely curious. Nice work ser!
DM if you’d like and I’ll send the benchmark data right on over.
This is the actual bottleneck. The models are smart enough already. What is missing is the company-specific context locked in senior people heads. Whoever cracks knowledge extraction at the company level unlocks the rest.
As you work on this, please consider using GBrain as your OSS retrieval layer