Supermemory raises $3 million with the best memory engine for LLMs

Supermemory announced a $3 million funding round led by Susa Ventures, Browder Capital, and SF1.vc, with participation from several AI and infrastructure-focused angel investors, to develop interoperable, scalable memory systems for LLMs and AI agents. Originally launched as an open-source consumer “second brain” application, the project gained more than 50,000 users, millions of saved items, and 10,000 GitHub stars before evolving into a business after companies sought its underlying infrastructure. The company argues that AI memory requires more than search, emphasizing persistent, self-learning user context that can personalize interactions across models. Supermemory says it built its own vector database, content parsing and extraction tools, and memory infrastructure, and now serves enterprise customers including Cluely and Composio as well as open-source projects such as Scira AI, processing billions of tokens weekly. The company plans to use the funding to expand its engineering, research, and product teams.

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