MemorySync gives AI apps and coding agents memory across conversations. Save useful context, recall it for the next task, and stop asking users to repeat themselves. Connect through APIs, Python and TypeScript SDKs, or integrations such as Cursor and LangChain. Use the dashboard to inspect stored memories, see their source, and manage users and projects.
Hey PH! I’m Rafay, founder of MemorySync. I built it because I kept losing valuable context every time I started a new AI conversation.
The idea is simple: starting a new conversation shouldn’t mean losing useful context. MemorySync lets developers save preferences, project decisions, and other information, then retrieve it when their app or agent needs it - without building an entire memory system from scratch.
The launch video shows this in Cursor: save a few project decisions, open a fresh chat, and use those remembered decisions to implement the next task. The demonstration uses a real MemorySync account with sample project data.
You can connect through our API, Python and TypeScript SDKs, or integrations including Cursor and LangChain. There’s also a dashboard where you can inspect what’s stored, see its source, and manage your memory.
I’d love to hear what you’re building and what you’d want your AI to remember. Questions or feedback? Leave a comment here or reach us at team@memorysync.io.