About Memberberry

We're building the memory layer for the AI era.

Memberberry started from a simple frustration: why do we keep re-explaining the same things to different AI tools?

You explain your project architecture to Claude Desktop. Then you switch to Cursor and have to explain it all over again. Your teammate asks ChatGPT the same question you asked yesterday. Everyone starts from scratch, every time.

There had to be a better way.

We built Memberberry to solve this. One memory layer that works across every AI tool your team uses. Store it once, access it everywhere. Share knowledge automatically. Build on past conversations instead of repeating them.

Why MCP?

The Model Context Protocol (MCP) is an open standard for connecting AI tools to data sources. By building on MCP, Memberberry works with any compatible tool - no custom integrations needed.

As more tools adopt MCP, your memory layer becomes more valuable. One setup, infinite compatibility.

Built in 4 Hours

Yes, really. Memberberry was built in a single afternoon as a micro SaaS experiment. The goal was simple: prove that cross-tool memory is valuable enough that people will pay for it.

We're keeping it lean, focused, and actually useful. No enterprise bloat. No unnecessary features. Just memory that works.