If million-token context windows in large models are “temporary memory,” then an agent’s memory system is the “persistent hard drive.”
We are cheering for AI’s rapidly improving ability to remember.
But few realize that we are burying invisible landmines.
Recently, industry analysts issued a blunt warning:
“AI memory is just another database problem.”
(AI memory is, at its core, a database problem.)
This is not a minor technical bug.
It is the “last-mile” crisis for enterprise AI adoption in 2026—a life-or-death battle over data.
When enterprises try to bring agents into core business workflows, they often discover—much to their surprise—that they are not building an assistant at all, but a compliance-breaking data-processing black hole.
If million-token context windows in large models are “temporary memory,” then an agent’s memory system is the “persistent hard drive.”
We are cheering for AI’s rapidly improving ability to remember.
But few realize that we are burying invisible landmines.
Recently, industry analysts issued a blunt warning:
“AI memory is just another database problem.” (AI memory is, at its core, a database problem.)
This is not a minor technical bug.
It is the “last-mile” crisis for enterprise AI adoption in 2026—a life-or-death battle over data.
When enterprises try to bring agents into core business workflows, they often discover—much to their surprise—that they are not building an assistant at all, but a compliance-breaking data-processing black hole.