
Our Take
Lev Kerzhner, Carmona Serrat, and hritvik Gupta looked at the AI agent infrastructure space and saw a problem nobody was solving: every AI agent needs access to documents, but there's no standard way to give them that access. So they built Query Memory—one API that connects any AI agent to any document source. Think of it as the universal adapter between your AI agents and thePDFs, Notion pages, Google Docs, and internal wikis they need to actually do their job.
Every AI company is building agents. Every agent needs context. And context lives in documents—scattered across your whole tech stack, in a dozen different formats, behind a dozen different auth systems. Query Memory said "we'll handle all of that." One integration, one API call, and your agent can read anything. They're still early, they're on Product Hunt, and if you're building AI agents, this is probably a dependency you'll need in six months. Bookmark them.
The people behind Query Memory
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