
Supermemory provides a centralized memory layer that stores, retrieves, and manages contextual data for AI agents, enabling enterprise APIs, developer plugins, and personal applications that remember user information.
Supermemory is a context engineering platform that provides a persistent, queryable memory layer for AI agents, applications, and workflows. It is designed to help enterprises, developers, and individuals capture, organize, and retrieve information across tools and interactions so that AI systems can reason over long-term context, not just the current prompt. By centralizing memory, Supermemory enables more accurate, personalized, and consistent AI behavior across different interfaces and sessions.
The platform ingests data from diverse sources—such as APIs, internal systems, documents, conversations, and user activity—and structures it into a unified, searchable memory graph. It offers enterprise-grade APIs for integrating memory into custom agents, along with developer plugins that make it easy to attach persistent context to existing applications. Supermemory includes advanced retrieval capabilities, combining semantic search, embeddings, and metadata filters to surface the most relevant information for each query. Built-in controls for data governance, access permissions, and auditing help organizations manage sensitive information securely while maintaining high-quality context.
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