# OpenMed

> Open-source healthcare NLP toolkit with curated models, Apple Silicon MLX acceleration, OpenMedKit for Swift apps, advanced NER, and one-call orchestration.

OpenMed is a local-first healthcare NLP toolkit for clinical entity extraction, de-identification, model discovery, and on-device or self-hosted integrations.


## Getting started

- [Welcome](https://openmed.life/docs/index.md): OpenMed documentation overview
- [Quick Start](https://openmed.life/docs/getting-started/index.md): Installation and first local workflow
- [Persona Quickstarts](https://openmed.life/docs/quickstarts/index.md): Persona quickstarts, including AI agent usage over MCP

## APIs and de-identification

- [Analyze Text Helper](https://openmed.life/docs/analyze-text/index.md): Top-level text analysis API
- [API Reference](https://openmed.life/docs/api-reference/index.md): Public Python API reference
- [De-identification API](https://openmed.life/docs/api/deidentification/index.md): De-identification API reference
- [Advanced NER & Output Formatting](https://openmed.life/docs/output-formatting/index.md): Output formats and agent-facing tool schemas

## Agents and tool surfaces

- [MCP Client Connections](https://openmed.life/docs/mcp-clients/index.md): MCP client setup and transport guidance
- [REST Service (MVP)](https://openmed.life/docs/rest-service/index.md): REST service endpoints and deployment
- [REST API Recipes](https://openmed.life/docs/rest-recipes/index.md): Copy-ready REST API recipes
- [Detector Plugin SDK](https://openmed.life/docs/plugin-sdk/index.md): Detector plugin interfaces