Scaling AI Context Across Dev and Strategy Teams with Isolated Memory, Open Standards, and Migration Readiness

Most discussions about AI memory start from a narrow use case: one person, one chat interface, one context bucket. That is not how real companies work. Even a small company quickly ends up with different types of context that should not all live together: engineering decisions strategy notes operational procedures founder-only context project-specific memory future AI worker or automation context That was the real problem I wanted to solve.