#656 · Primary category: AI Agents & Automation

mirobody

ai-agents fhir genomics health health-data lab-reports loinc mcp model-context-protocol python self-hosted snomed terminology wearables

The AI-native health data engine — collect, standardize, and reason over labs, wearables & genomics.

Project last updated:08/27/26

GitHub Stars

1.1K

Forks

197

Contributors

13

License

Apache-2.0

Why we included this project

Mirobody is a self-hosted health data engine that links personal medical records to a language model while keeping everything on your own device or server. It pulls wearable, lab, and clinical-EHR data from a long list of sources, including aggregators like Terra and Human API, device brands like Fitbit and Garmin, and SMART-on-FHIR EHRs such as Epic, then normalizes everything to FHIR R4 with UCUM unit handling and SNOMED/LOINC mapping before exposing it to LLMs through one interface. A Model Context Protocol endpoint lets clients like Claude Desktop or Cursor discover and call health tools directly, so you can ask plain-language questions about trends and get answers grounded in your actual records. The native apps can also run a small Gemma or Qwen model fully on-device, with no server and no network needed, which matters for privacy-sensitive health work. That combination makes it worth a look for developers and small teams building secure health assistants that need controlled access to personal data.

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