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Glycemicgpt

Glycemicgpt is an open-source diabetes platform for device and Nightscout data, providing monitoring and AI-supported analysis including daily briefs, pattern detection, chat and caregiver alerts.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Glycemicgpt — OpenViST project profile in AI Data & Analytics.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Consider it when you want a self-deployed diabetes platform for supported device or Nightscout data and can evaluate its alpha-stage software and device-specific qualifications. Its suggestions are intended to accompany professional medical care.

Who it is for

  • People managing diabetes who want to view supported glucose and therapy data with AI-generated supplementary analysis.
  • Developers and self-hosters interested in deploying or extending an open-source diabetes platform.

Documented uses

  • Monitor data from supported continuous glucose monitors and insulin devices.
  • Review daily AI briefs and detected patterns in diabetes-related data.
  • Ask questions through conversational AI chat.
  • Add AI analysis to data from an existing Nightscout instance.
  • Configure an AI provider and choose whether inference runs locally or through a cloud service.
Before you choose

Requirements & limits

  • AI provider choice determines whether health data stays on user-controlled infrastructure or is transmitted to a third-party cloud provider.
  • Device status varies: some integrations are verified, while Tandem Mobi is unverified on hardware and Medtronic 700-series data mapping has unverified areas.
  • The platform is alpha software and the project says it has not been broadly tested.
  • The web platform, Android app and Wear OS watch face occupy separate repositories; the mobile components are not part of the main repository's listed stack.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Start the platform locally with Docker Compose

Bring up the documented web interface and API for local development.

Before you start

  • Git
  • Docker Compose

Steps

  1. Clone the GlycemicGPT repository.

  2. Change into the repository directory.

  3. Copy .env.example to .env.

  4. Run the command below.

    Documented command
    docker compose up --build -d

Expected outcome

The README lists the web UI at localhost:3000, the API at localhost:8000 and API documentation at localhost:8000/docs.

Guide limitations

  • This quick start is described as a developer-oriented local setup.
  • The project is identified as alpha software and has not been broadly tested.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
12 October 2026
Original website title
lumose-health/GlycemicGPT · Official homepage title · retained in its source language
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