MedDroid developer docs

One SDK to build on the MedDroid Health OS: ship a connector, orchestrate agentic workflows, run inference on-device, then train and submit models to the Marketplace.

Publish an app to the Marketplace

Marketplace apps run inside MedDroid Providers on the clinic's computer. They read and save the clinic's records through the app SDK, which stores everything in the desktop app's encrypted database (SQLite + SQLCipher), and they can use the offline AI (MedDroid-v9). Apps declare their permissions, which clinics see before adding them; the SDK checks the app (Python 3.10 or newer), MedDroid reviews the code, and approved apps ship to every clinic in the next update. Every app in the Marketplace is free.

What else you can build

• Connectors: publish a device or app connector so data streams into a user's Sync hub
• Agentic workflows: multi-agent pipelines that read connected data and produce drafts, reminders and reports, with the user in the loop
• On-device inference: private offline inference for the most sensitive data, plus APIs and webhooks for records, vitals and events
• Models: train on your own data with the guided Model Studio tracks, package an honest model card, and submit for human review

Start with Model Studio or browse the Marketplace.

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MedDroid gives educational information and drafts for clinicians to check. It is not a diagnosis and does not replace a doctor. In an emergency, call 112.