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I Built an Open Source AI Platform to Manage My Diabetes
jlengelbrech · 2026-04-26 · via DEV Community

jlengelbrecht

I'm excited to share something I've been building over the past few months — a project that's deeply personal to me.

As a Type 1 diabetic, I hit a stretch last year where I was between endocrinologists for months. No one was looking at my CGM data. No one was analyzing my patterns. I was on my own, staring at glucose graphs, trying to figure out what I was doing wrong.

So I built the tool I needed.

GlycemicGPT is an open source diabetes management platform that connects your continuous glucose monitor and insulin pump directly to an AI-powered analysis engine. It does what your endocrinologist does between appointments — and what nobody does at 3am.

The platform provides real-time glucose monitoring, AI-powered daily briefs analyzing overnight patterns and meal responses, conversational AI chat backed by clinical diabetes knowledge, and a predictive alerting system with caregiver escalation that catches problems before they become emergencies. It helped me regain control while waiting months to be seen, and it's built so no one else has to fly blind in that gap.

It's self-hosted, privacy-first, and BYOAI — you bring your own AI provider (Claude, OpenAI, Ollama for fully local inference, or any compatible endpoint). Your data stays on your hardware. No subscriptions to us, no vendor lock-in.

Currently supports Dexcom G7 and Tandem t:slim X2/Mobi with a capability-based plugin SDK for community device drivers. The stack is FastAPI/Python backend, Next.js/React dashboard, TypeScript AI sidecar, Kotlin Android + Wear OS apps. Full Docker deployment.

The project sits in the #WeAreNotWaiting tradition — a decade-old movement of diabetics building their own tools because the medical device industry moves too slowly. Projects like Nightscout and OpenAPS paved the way. GlycemicGPT builds on that philosophy by adding AI-powered analysis while keeping everything open source and self-hosted.

It's GPL-3.0 licensed, under active development, and in daily use managing my own diabetes. The repo has full contributing guidelines, governance docs, and good first issues tagged.

Important: This is not FDA approved. It is not a medical device. It does not control your pump. It's monitoring and analysis only — always consult your healthcare team.
I'm looking for contributors, early adopters, and feedback. If you're interested in open source healthcare, AI-powered health analysis, or you just know someone living with diabetes who might benefit — I'd love to connect.

Because no one should manage diabetes alone. 💙