Databao is a team of AI data coworkers that learn how you work, take on your data tasks — cleaning, analytics, reports, and monitoring — and run them end to end. They run locally on your machine.

Does my data leave my machine?

No. Databao runs on your computer and stores and analyzes everything locally. Anything that would leave your machine is called out and waits for your approval.

How does Databao learn a task?

Show it one cycle — your data sources, spreadsheets, past reports, and the steps you do by hand — or walk it through in chat. It learns the task and gets better every time you review.

Can I audit what the agents did?

Yes. Every task keeps a complete, local audit trail: each step against the plan, every input, where it came from, and the file it produced. You can export a signed log at any time.

Databao

baked by

OpenClaw for data work,with connectors and data context

Simply connect your sources and define your tasks. Agents run them end to end on your machine. They learn tasks from you, improve from your review, and remember your corrections.

Tell us what you want to automate.

Create your own squad of data agents

Each agent specializes, remembers your process, and works on its own — inside one workspace.

Databao — Annaclaude-sonnet · local

Anna10:41

It's the start of the month — your May sales report is due. Want me to pull all 6 sources, clean and join them, and assemble it like last time?

You · 10:42

Yes, go ahead.

Anna10:42

Done — I pulled all 6 sources, cleaned and joined them, and assembled the report. Attached below.

sales_report_may.pdf2.4 MB · PDF document

monthly_sales_report · completed

Message Anna…

Anna prepares your reports.Anna knows which six sources feed the monthly sales report, how they're cleaned and joined, and what the output looks like. You taught her once. Now she compiles the report on schedule and sends you a draft.

AnnaJob

Reporting agent

sales_report_may.pdfdraft

PDF

Joe monitors your metrics.Joe knows which KPIs matter and what their normal ranges are. When something changes, he finds the driver and emails you before the review meeting.

Joe

Monitoring agent

KPI monitorrevenue · 30d

Mira runs your analysis.Ask Mira questions in plain language. She writes and runs the queries, checks the joins, and returns findings with the SQL attached. When ready, enable Mira for your stakeholders directly via Slack integration.

Mira

Analytics agent

exploring dataset12,480 rows

What your agents handle

Pick a task and have them run it end to end, including:

Data cleaning and prep

Exploring, deduplication, joining, and reshaping raw exports.

Self-service analytics

Asking questions in plain language and getting queries you can actually read.

Recurring reports

Extracting, merging, and preparing on a schedule.

Multi-source consolidation

Working across six systems in one consistent view.

Root-cause analysis

Identifying the drivers behind shifts in metrics, with evidence.

Anomaly monitoring

Flagging issues before someone screenshots the dashboard.

And more…

The learning loop

Weekly KPI Report · last cycle

Connected

Final report & workbook

Source exports (6)

Request & reminder emails

Templates & instructions

What Databao learned

Which sources feed each metric and when they refresh
How raw data is cleaned, joined, and reshaped
How the final report is assembled from the sources

Comparing the tools

Built for data work — not a general gateway you have to harden yourself.

Criteria	Databao	OpenClaw	Hermes	Claude / ChatGPT
Domain	30+ data connectors; creates context from data sources automatically	General gateway-first agent	General learning agent	General chat
Skills	Learned from your demonstrations; specific pre-built data skills and tools	Generic skills	Generic skills	None that persist
Security	Pre-built security tools for data access and operations	No secure hardening by default	No secure hardening by default	No secure hardening by default
Data-safety	Guardrails and data-access controls built in	None	None	None

Solo first, team later

Everything runs and persists on your machine. The skills and task definitions that the agents build can later be shared with a team workspace.

Start Personal

Everything runs and is stored on your computer. Databao uses local or cloud models, whichever you choose. Nothing leaves your machine unless you allow it.

On your machineLocal or cloud models

Go Team

Everything from the personal setup stays. On top of that, you add a shared knowledge layer: your coworkers' skills and data workflows are shared across the team.

Share data workflows across the team
Reuse skills the team already trusts
Build an accurate map of your team's data work

Works with the data sources your work already runs on

Connect the databases, warehouses, and apps you already use. Databao reads from them directly — no migration, no new pipelines to wire up.