
Supermemory
supermemory.ai/
Supermemory builds a memory and continual-learning layer for AI agents, extracting context from interactions into a vector-graph database and feeding it back into an agent's context window in real time through a model it calls "learner-1," positioned as infrastructure that works across any underlying model. The homepage backs this with granular benchmark figures rather than round marketing numbers: a 55.95% FAIL_TO_PASS rate on what it calls SWE-ContextBench, an 81% pass rate versus 69% for markdown-based memory, and 187ms server latency for search. It also quotes Google DeepMind CEO Demis Hassabis on continuous learning and offers an air-gapped, on-laptop or VPC deployment option, an unusual level of self-hosting detail for a memory-infrastructure product aimed at security-conscious enterprise buyers.
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Supermemory's landing page, section by section
Each section below is cropped straight from Supermemory's live page — useful references for infrastructure landing page design.
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