OAK.memory
Persistent memory for your AI, across sessions and tools
3 followers
Persistent memory for your AI, across sessions and tools
3 followers
Stop repeating your context to AI. OAK.memory stores facts and their connections, combining vector search with graph traversal to recall related context across sessions. Connect supported AI tools through MCP, or build with the open-source engine. Start with cloud memory or run locally.
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Hi Product Hunt! I'm Fredric, the maker of OAK.memory.
I built it because useful context kept getting lost between AI sessions. I wanted memory to be a reusable layer that I could connect to the tools I already use.
OAK.memory combines vector search with an associative graph: search finds relevant facts, then graph traversal brings back connected context. You can connect supported AI apps through MCP, use cloud memory, or build with the open-source engine and local setup.
I'd love feedback on the setup experience and the quality of recalled context. What would you want your AI to remember across sessions?