I built OctaMem because I kept watching AI agents fail in the dumbest way possible. Not because the model was bad. Not because the prompt was wrong. Because the agent woke up at the start of every session with no idea what had happened yesterday. Every regulated industry I talked to had the same problem. Legal teams, insurance ops, clinical trials. They wanted to deploy agents but couldn't because there was no auditable trail of what the agent knew, when it knew it, and what it acted on. Funny thing is, it's not a retrieval problem. It is a memory problem. RAG finds documents. It doesn't remember decisions. There's a difference and nobody was building for it. So we built the memory layer. Persistent, auditable, compliance-ready. Works with whatever model or framework you're already using. Happy to answer anything. What are you building?

OctaMem

Memory is all your agents were missing.

Memory is all your agents were missing.