Agent-native data backend. Dataset backends for AI agents.
Any agent.
Any workflow.
One backend.
Rowset is the open-source and self-hostable MCP database for AI agents. Give every workflow reliable, searchable, structured data—without building another backend.
Built in the open
Open source. Self-hostable.
Run Rowset in our cloud or on your own infrastructure. Inspect the code, shape the roadmap, and keep deployment under your control.
Inside Rowset
See what your agents changed.
Review projects, recent datasets, row counts, and public previews from one calm control surface.
AI agent examples
What will your agent keep moving?
Simple primitives
The workflow changes. The backend doesn’t.
Agents get a small set of dependable operations they can reuse everywhere. You get data that stays structured, private, and portable.
- STORE
- Typed, indexed rows
- Stable business keys, generated IDs, descriptions, links, and flexible column types.
- FIND
- Exact and semantic search
- Retrieve a known row or search by meaning with vector embeddings.
- MOVE
- Five export formats
- Take snapshots as CSV, JSONL, XLSX, SQLite, or Parquet.
Three steps to agent-ready data
Connect once. Then ask your agent to build.
01 / CONNECT
Copy the setup prompt
Add Rowset to a trusted agent with the hosted MCP URL and a bearer API key.
02 / DESCRIBE
Name the workflow
Tell the agent what to track. It creates the dataset, schema, and stable index.
03 / DELEGATE
Let it manage the rows
The agent reads, writes, searches, exports, and shares results through authenticated tools.
Private by default
Your next agent workflow needs somewhere to live.
Start with full product access for 7 days. Keep control with bearer-key authentication, explicit sharing, and exports whenever you want them.
Start your 7-day trial →