Supermemory

For enterprises and developers seeking to enhance their AI agents' memory capabilities, Supermemory offers a context engineering platform that integrates with various APIs, plugins, and a personal app, allowing for seamless information recall. This platform is built around a state-of-the-art memory layer that utilizes dynamic dreaming and a custom graph engine, enabling persistent, structured knowledge graphs. Supermemory's product catalog includes focused primitives for ingesting, understanding, routing, and retrieving context, such as Memory & Continual Learning, SuperRAG, and Filesystems, which provide hybrid search, reranking, and structured context for documents at sub-300ms latency. Additionally, the platform supports profiles, connectors, and extractors, allowing for coherent preference, behavior, and identity context across sessions. One notable aspect of Supermemory is its ability to work with any model, making it a versatile solution for various applications. However, a current limitation of the platform is the lack of native support for Windows, which may hinder adoption for teams reliant on this operating system. With its robust feature set and extremely low latency, Supermemory is used by prominent teams such as ppl.xyz and mosaic Vela, and offers a range of tools, including a personal app that functions as a second brain, to help users build and enhance their AI agents' capabilities, making it an attractive solution for those looking to elevate their AI-driven projects.