ChatAndBuild launches Living Brain to share memory across ChatGPT, Claude, and Cursor

If you constantly find yourself briefing Claude on a project and then re-explaining the whole thing inside Cursor five minutes later, you know how annoying AI context fragmentation is.

ChatAndBuild just introduced Living Brain, an external memory layer built to fix exactly that. The premise is simple: decouple memory from the underlying model so that apps like ChatGPT, Claude, Cursor, Codex, and custom agents can tap into the same persistent brain. You write context in one tool, and retrieve it in any other.

One memory across every tool

Living Brain stores conversations and knowledge as dynamic pages. Whenever something changes in a chat or task, it updates the page automatically, keeping every connected model aligned on the latest state.

According to ChatAndBuild, the system hits 92.2% on the LoCoMo benchmark and clocks a median retrieval latency of 464ms. By cutting out redundant context stuffing, it claims to slash token consumption per question by up to 22.6x.

Why it matters

Most power users already jump between different models depending on the task—using Claude for drafting, Cursor for coding, and ChatGPT for general reasoning. Having to manually sync context between them is constant friction.

We think separating the memory layer from individual model silos is the logical next step for developer workflows. If Living Brain delivers on speed and accuracy, it could save serious token costs and setup time. The real hurdle, as always with centralized context layers, will be trust: handing your entire cross-tool AI history to one intermediary is a big ask.