How to Use Supermemory with Convex - April 2026

Supermemory is presented as a persistent memory API for AI applications built on Convex, whose reactive TypeScript backend manages real-time queries and transactional mutations but does not natively retain long-term semantic user context across sessions. The proposed integration uses Convex actions for external Supermemory API calls, allowing applications to store memories, retrieve relevant context, maintain user profiles, and pass results into LLM workflows or Convex data operations without replacing Convex’s existing responsibilities. The service claims graph-based memory capabilities, automatic handling of evolving or conflicting information, sub-300 ms recall latency, and benchmark performance intended to reduce hallucinations and token costs by returning relevant context instead of complete conversation histories. It also offers security and deployment options including SOC 2 Type 2, HIPAA and GDPR support, encryption, Docker self-hosting, and compatibility with vector databases such as Pinecone, Weaviate, and Qdrant. Developers can begin through the TypeScript SDK by authenticating, storing memories, and retrieving context within Convex actions, with free, Pro, and Scale pricing tiers aimed at prototypes through high-traffic applications.

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