We're building the memory layer for the AI era.
REMBR 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 REMBR 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.
Make AI tools actually remember, so you can focus on building instead of repeating yourself.
The Model Context Protocol (MCP) is an open standard for connecting AI tools to data sources. By building on MCP, REMBR works with any compatible tool - no custom integrations needed.
As more tools adopt MCP, your memory layer becomes more valuable. One setup, infinite compatibility.
REMBR is developed by Radical Geek Technology Solutions, a technology company focused on building practical AI infrastructure tools. We believe in creating lean, focused solutions that solve real problems for developers and teams.
We're keeping it simple, focused, and actually useful. No enterprise bloat. No unnecessary features. Just memory that works across your entire AI toolkit.