Really interesting approach to solving the memory fragmentation problem across AI tools. I like that the article is upfront about the limitations, especially the lack of SSO, high availability, and independent security audits.

The per-person credentials and spend caps also make this more practical for team adoption. One question: how do you plan to handle memory quality over time as multiple agents update shared knowledge and potentially introduce conflicting or outdated information?