AACFlow Tables is the built-in database in the AI workspace where teams build, deploy, and manage AI agents. Teams organize typed records, filter and edit rows, add enrichment and workflow columns, and use Table blocks to query, insert, and update data across agent runs.
AACFlow / Tables
Put your data to work with AI agents.
A working home for your data.
Organize, enrich, and put structured data to work across every agent run in AACFlow.
| # | Company | Score | Status | Contact |
|---|---|---|---|---|
| 1 | 94 | Qualified | Alice Johnson | |
| 2 | 88 | Qualified | Daniel Park | |
| 3 | 72 | Review | Eva Chen | |
| 4 | 91 | Qualified | Sam Rivera | |
| 5 | 86 | Qualified | Morgan Lee | |
| 6 | 79 | Review | Alex Chen |
Structured records
Filter records, inspect a row, and keep the data your agents use organized.
Fill in the missing context.
Enrich a row or run a workflow to write research, scores, and details back into your table.
Carry work from run to run.
Read matching records and save results with Table blocks inside your workflows.
From your terminal
Work with data from your terminal.
Find your tables and query their rows with the AACFlow CLI. Use the results in your own scripts and tools.
aacflow tables list aacflow tables rows query \ "$TABLE_ID" --limit 10
