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Agent-native data backend. Dataset backends for AI agents.

OPEN SOURCE / SELF-HOSTABLEMCP / REST / CLI

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.

Projects that use Rowset

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.

Rowset dashboard showing projects and recently updated datasets

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.
CONNECT
MCP, REST, and CLI
Use hosted tools from an agent or predictable endpoints from code.
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.

  1. 01 / CONNECT

    Copy the setup prompt

    Add Rowset to a trusted agent with the hosted MCP URL and a bearer API key.

  2. 02 / DESCRIBE

    Name the workflow

    Tell the agent what to track. It creates the dataset, schema, and stable index.

  3. 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 →