AI can remember a fact.

But can it understand how that fact connects to everything else?

One of the hardest decisions in Second Brain v2 was deciding how much related context recall should include.

Imagine asking:

"What did we decide about the Product Hunt launch?"

Think about how you work today. You use Claude for writing. ChatGPT for research. Cursor for code. Maybe Codex for longer tasks.

Each one learns something about you. Your preferences. Your projects. Your decisions. But none of them talk to each other.

So you end up repeating yourself. Re-explaining context. Correcting assumptions that one tool got right weeks ago in a different conversation.

It is like having five assistants who each only remember the conversations they were personally in. They are all smart individually, but collectively they are forgetful.

I ve been thinking about this a lot lately.

For Second Brain, the answer was clear: the setup. Terminal. Git. Cloudflare configuration. People wanted to try it but the friction was too high.

We launched Second Brain on Saturday, listened closely to the feedback, and got straight back to work.

Today, v2.1 is live.

We just shipped Second Brain 3.4.0, and since the last Product Hunt update was 3.0, I wanted to share what has changed.

The biggest addition in 3.4 is Projects.

If you use AI across different products, clients, codebases, or areas of your life, one giant pool of memory can get messy fast. Projects let you keep related memories together, so your AI can pull from the right context without you having to explain everything again.

Remember when @pooja_phillips asked if there was a no-code way to get Second Brain running? Or when others mentioned being uncomfortable with git and the terminal?

We listened.

One of the earliest problems we ran into building v2 was this:

You decide something in January. You change your mind in March. You ask about it in July.