Supermemory

Supermemory provides a comprehensive context cloud for AI agents, offering advanced memory, Retrieval Augmented Generation (RAG), user profiles, and data connectors. It is designed to give agents state-of-the-art memory capabilities, allowing them to continually learn, understand, and retrieve information with extremely low latency. The platform integrates various primitives for ingesting, understanding, routing, and retrieving context, all built around a custom knowledge graph engine. This platform is ideal for developers and teams building sophisticated AI agents that require persistent, structured, and evolving knowledge. It supports a wide range of data sources through connectors and extractors, automatically keeping agent memory in sync with external tools. Supermemory differentiates itself from traditional vector databases by offering dynamic knowledge that can merge, contradict, and evolve across sessions, ensuring agents remember users and contexts coherently over time. It offers a single API for all capabilities, including ingestion, retrieval, and memory management, and is designed for high performance with sub-300ms recall latency.