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MemorySync
Give AI apps and coding agents lasting memory
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 [email protected].
About MemorySync on Product Hunt
“Give AI apps and coding agents lasting memory”
MemorySync was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #9 on the daily leaderboard. 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.
On the analytics side, MemorySync competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how MemorySync performed against the three products that launched closest to it on the same day.
Who hunted MemorySync?
MemorySync was hunted by Rafay. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of MemorySync including community comment highlights and product details, visit the product overview.
Rafay