Your context should follow.

Less starting over.

A decision takes shape in one conversation. Its constraints emerge in another. Switch tools, and you are often left reconstructing the reasoning yourself.

CTX exists to make that continuity part of the system. Your next connected agent should be able to use relevant context from the work that came before.

Capture. Connect. Recall.

We think of memory as a continuous process. CTX captures conversations from supported tools, organizes them into memory alongside their source evidence, and retrieves relevant context for later questions.

That is what we mean by a cognitive context layer: useful understanding built from earlier work, available to the tools you choose next.

Make experience count.

Our longer-term ambition is to turn lessons from previous work into useful guidance: what was tried, what happened, and when that lesson still applies. This is the direction of our research.

We judge progress by better work: less repeated explanation and more useful context. Earning trust through clear controls, evidence, and honest limits is part of that responsibility.

The lasting value of AI should grow with the person using it.