Records agents act on
Store leads, tickets, and invoices as rows agents read and write. Studio keeps the data next to the agents that work it.
Tables is the AI agent database built into Studio, the open-source AI workspace where teams build, deploy, and manage AI agents. Teams store records agents read and write, run enrichments that fill cells automatically, query rows from agent logic, and keep state between runs, all in one workspace.
Tables
Give AI agents a database built into Studio.
Tables is the database built into Studio, the open-source AI workspace. Store the records agents read and write, fill empty cells with enrichments, and keep state between runs.
Companies building AI agents with Studio
Give AI agents structured data to act on.
Studio stores the leads, tickets, and invoices agents work with as tables in the same workspace as the agents.
Enrichments fill the blanks
Studio runs enrichments over new rows, finding work emails, phone numbers, and company info, so empty cells fill themselves.
Query from agent logic
Read and write rows from code or any workflow block. Studio treats every table as part of your agent logic.
Tables are your AI agents’ memory.
Studio carries state between runs. Every run writes rows, every change is recorded, and agents pick up exactly where they left off.
State between runs
Each run writes its results back to the table, so the next run starts from what Studio already knows.
Wire data in and out
Studio routes records from your tools into tables and back out again, one switchboard for structured data.
Every change recorded
Studio records every insert and update with who made it, so the history of a table is always inspectable.
