Keeping durable data portable across Google and non-Google assistants
DiskDrive is the persistence layer, not the model or app itself. It gives a person comparing Google AI products without wanting vendor lock-in a separate place for finished files, structured records, and explicit memories that should outlive one session. Each connected AI receives its own authorization and only the scopes the user approves.
An honest boundary
Connection does not mean unlimited access
An API or MCP pathway is only the technical beginning. A real connector still needs authentication, tenant isolation, permission checks, audit events, rate limits, and revocation. DiskDrive does not claim an app is connected merely because its name appears in this research library.
A believable everyday use
What this could look like in practice
Andre uses a Google AI tool for image understanding and another assistant for writing. He stores the approved observations and final report in DiskDrive, then grants each client only the access it needs. Google AI remains a processor and client, not the owner of his archive.
1
Choose what is durable. Save finished source material, reviewed records, or a fact the user explicitly wants remembered—not an entire private conversation by default.
2
Authorize separately. Give this client the narrow read, search, or write permissions it needs. Write access never silently implies delete access.
3
Keep provenance. Preserve who created an item, where it came from, and what later corrected or superseded it.
Primary source
Check the provider’s current documentation
Product names, model availability, APIs, and MCP capabilities can change. This page links to the primary material used for the compatibility description.
DiskDrive is not affiliated with or endorsed by Google AI. Product and company names belong to their respective owners. This page explains a possible data-portability workflow and does not promise a native connector unless the status above explicitly says one is available.