supermemory

Why we included this project

AI assistants and agents tend to forget everything between sessions, and Supermemory is built to fix that. It sits between your application and its data, ingesting conversations, files, and whatever sources you connect, then extracting facts and user profiles that it updates as preferences change. At query time it hands the right context back, so your model does not have to start from a blank slate. The engine is self-hostable and runs fully offline, which means you are not locked into a hosted service, and the repo includes the connectors, extractors, and API you would need to wire it into your own stack. There is also a working app and dashboard, so you can see the memory layer in action before you integrate it. If your product needs durable recall of people and documents, this is a practical way to get there.