Supermemory is a universal memory API designed to enhance AI applications by providing persistent, long-term memory capabilities. It addresses the common limitation of AI models forgetting context between interactions, enabling them to recall relevant information from previous conversations, files, and tools. This ensures that AI responses remain consistent, contextual, and personalized over time. Key Features and Functionality: - Universal Memory Layer: Supermemory serves as a universal memory layer that enables Large Language Models (LLMs) to maintain persistent context and memories across different applications and sessions. - Developer-Friendly API: Supermemory provides a simple, affordable solution that eliminates months of technical complexity, allowing developers to focus on shipping their product without building infrastructure. - Multi-Modal Support: Supermemory is natively multi-modal and can automatically detect the content type of the document you are adding, using the best tools to extract content from URLs and process it for optimal memory storage. - Scalable and Fast: Supermemory retrieves memories in milliseconds, up to 10× faster than Zep and 25× faster than Mem0. Primary Value and User Solutions: Supermemory solves the fundamental limitation of AI forgetting everything between conversations by providing a universal memory layer that enables LLMs to maintain persistent context and memories across different applications and sessions. This ensures that AI assistants remember who you are, what you've discussed, and what matters to you, creating a persistent, personalized experience that grows smarter with every interaction.