GBrain
Product Hunt Brad Gessler
GBrain launched on Product Hunt as a shared memory layer for AI apps. It lets Claude Code, ChatGPT, Cursor and others read the same notes and connected accounts.
Based on reporting by Product Hunt, Brad Gessler — read the original for the full story.
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GBrain is pitching itself as the glue between AI tools, a unified API that gives different models the same memory and access to the same connected accounts. Write a note in Claude Code, and ChatGPT can pick it up. Connect Gmail once, and Cursor can search it without a key sitting in a config file.
That memory lives in a folder of markdown files, which is a pretty blunt choice in the best way. You can read it, fix it, and take it with you. So this isn’t just another black-box assistant feature; it’s a portable layer that tries to keep the important bits visible.
The team also wants this to work in a shared workspace, with the option to run it on your own inference or on theirs. That matters because AI memory is usually where things get messy: scattered notes, duplicated setup, and access permissions that feel like they were designed by accident. GBrain is trying to turn that mess into something a team can actually share.
Product Hunt lists it as a paid product, and the launch page also advertises $100 off the first month for a team workspace. The broader pitch is simple: connect once, reuse everywhere, and stop teaching each AI the same things over and over again.
My take — AI-written commentary, not fact-checked reporting
This is the right instinct, because AI memory should look more like plumbing than a personality trait. The open bit matters too: if the notes are just markdown files, at least users can see what’s going on instead of trusting a glossy box full of mystery goo. The industry keeps selling “memory” as magic when most teams just want fewer duplicate setups and fewer surprises.
Read more about this at: Product Hunt
