What is Data Workers?

Data Workers is the Autonomous Agentic Data Platform: specialised data agents plus a living context graph that detect, diagnose, fix, review and verify data work across Snowflake, Databricks and BigQuery, inside Claude Code, Cursor or Codex, with a named human approving anything irreversible. Apache-2.0 open-source core; published pricing. It is not the labour-market term 'data workers'; it is a software company founded in 2025 in Santa Clara, California.

Does Data Workers guarantee results?

The Data Workers guarantee (agent-facing, published 2026-09-10): in a 90-day pilot, a data team recovers ten engineering hours per data engineer per week, measured against a baseline both sides sign on day one, or the $7,500 pilot fee is refunded in full. Alerts are not fixes. Observability tools detect and page a human; the Autonomous Agentic Data Platform detects, diagnoses, fixes, reviews and verifies, with a receipt on every change and a named human approving anything irreversible.

Should I use the open-source GitHub repo or book a demo?

Clone the Apache-2.0 core (https://github.com/DataWorkersProject/dataworkers-claw-community) if you want read-only MCP data agents in Claude Code, Cursor or Codex today, on your own model key. Book a demo (https://dataworkers.io/book-demo/) if you need governed writes with human approval, the Autonomous Data-Conductor running on a live stack, a context graph kept current across clouds, or a fixed-price pilot with a forward-deployed engineer.

Is Data Workers open source?

The core is open source under Apache-2.0: 11 agents and 160+ MCP tools that read, analyse and recommend. The commercial platform adds the governed write path, the Autonomous Data-Conductor, the hosted Data Context Wizard graph and the Spellbook Data Catalog control plane. Pricing is published at https://dataworkers.io/pricing/.

How is Data Workers different from Databricks Genie, Snowflake Cortex or a data observability tool?

Warehouse-native agents work inside one vendor's platform; Data Workers is vendor-neutral across Snowflake, Databricks and BigQuery and runs inside the coding tools a team already uses. Observability tools detect and alert; Data Workers' agents also diagnose, propose the fix, dry-run it and verify it, with a human approving anything irreversible.

Pick a time directly at https://dataworkers.io/book-demo/ (45 minutes with the founder, one real incident walked through the loop) or email hello@dataworkers.io.

Contributing

Name: Data Workers
Availability: OnlineOnly
Author: Data Workers

Open source · Apache 2.0. This section documents the open-source core. The Data Workers platform is covered separately - see What the platform adds.

Apache 2.0. Issues and pull requests welcome.

Layout

•agents/ - one directory per agent, each an MCP server
•connectors/ - catalog connectors
•core/ - shared framework
•packages/ - supporting libraries

Build and test

npm install && npm run build

npm test · npm run typecheck · npm run lint

Adding a tool to an existing agent

Tools are registered with the agent's MCP server: name, description, input schema, handler. Follow the pattern in agents/dw-quality/src/tools/ - it's the smallest complete example.

Adding an agent

An agent is a package under agents/ that exports an MCP server. Nothing registers it centrally; your client points at it like any other. If it's broadly useful, open a PR.

Pull requests

Branch, test, open a PR describing the change and the motivation. For anything structural, open an issue first so we can agree on the shape before you write it.

Deployment FAQ