Four ways in, depending on what you are building. Every path runs entirely on your machine: no account, no API key, and no network call is required to read or write a Pod.

TypeScript SDK

Read and write Pods from Node or the browser. Typed models for every clinical and wellness class, SHACL validation, and JSON-LD context handling.

Start with TypeScript npm

Python SDK

The same model surface for data and research work, with dataframe-friendly readers over a Pod's Turtle files.

Start with Python PyPI

Command Line

Create a Pod, import FHIR data, validate against SHACL shapes, query records, and run an MCP server, without writing any code.

Start with the CLI npm

Cascade Agent

Give an AI assistant read and write access to a Pod over MCP. Agent-written records carry AIGenerated provenance automatically, and every operation is logged.

Start with the agent Agent examples

Before you build

The vocabularies define what a record can say, and the specification defines how it is written to disk. Both are worth a skim before you model your own data.

Vocabularies

Every OWL class and property, with SHACL shapes and JSON-LD contexts.

Browse vocabularies

Specification

Serialization rules, Pod directory structure, and the versioning policy.

Read the specification