Supermemory

A managed-SaaS **memory layer for LLM applications** focused on developer ergonomics — a few-line SDK that ingests user/conversation content and serves low-latency (~sub-300ms) retrieval over a hybrid vector + structured-metadata index. Supermemory targets the "non-technical builder" market: makers who want a memory layer working out of the box without choosing a vector DB, designing an entity schema, or running their own retrieval pipeline.

Mem0 / Letta / Cognee / Zep are powerful but require deliberate architectural choices (graph vs vector, persistence backend, embedding model, retrieval strategy). Supermemory sells the opposite proposition: a single hosted endpoint with sane defaults, billed per stored memory + per retrieval. The market it serves — solo builders, indie hackers, product teams that don't have an infra engineer — is large and growing alongside the LLM-app ecosystem.

Personal-assistant-style apps that need memory but whose teams lack the appetite to operate their own vector DB; consumer-facing LLM products where time-to-market trumps architectural sophistication; prototyping environments where teams want to validate the value of memory before committing to a self-hosted stack.