Corpus is a personal health data aggregation and AI advisor app for iOS 17+, currently in invite-only private beta. It brings HealthKit, meal logging, and peptide cycles into a single dashboard, with the main goal of solving the problem of health data being scattered across tools like Whoop, Apple Watch, body composition scales, Notes, and more. Its design emphasizes a local-first approach, using HealthKit as the data source rather than creating a closed data silo.
At the center of the product is the Corpus Index: a readiness score built from a 28-day baseline that combines HRV, sleep efficiency, training load, nutrition intake, and other signals, while also showing the contributing factors. Oracle/Advisor is the main AI feature, enabling Q&A based on 90 days of HealthKit data, meals, and peptide stacksโfor example, explaining changes in HRV. The meal module supports photo-based logging, where a Vision LLM provides an initial estimate of calories and macronutrients; barcode scanning is also supported. Users must confirm the entry before saving. The peptide module supports cycles, dosage, inventory, and reminders. It targets a relatively niche use case, but this is also a clear point of differentiation.
Local Solo is the free tier. Everything runs on-device, but users must bring their own OpenRouter key. It includes the HealthKit dashboard, visual meal estimation, peptide tracking, and a BYO API key advisor, but does not include cloud sync or long-context capabilities. Cloud Corpus costs $12/month and adds a private VPS, 90-day cloud aggregation, vector search, an advisor with up to 200k context, and weekly reports. Self-host costs $0 plus infrastructure expenses, and supports Docker Compose, Postgres, pgvector, Redis, and Caddy. For integrations, Corpus mainly relies on HealthKit; data from Whoop, Activa, Apple Watch, and similar devices needs to be imported through HealthKit.
The strengths are its restrained privacy architecture, with support for Sign in with Apple, JWT, TLS, signal-by-signal opt-in for cloud processing, and self-hosting. Its AI advisor also has cross-signal context, making it more suitable for attribution analysis than a simple health journal. The downsides are that access is currently invite-only and limited to iOS 17+. Visual meal estimation is not highly precise; the page mentions feedback suggesting it may be around 20% off, so manual editing and confirmation are required. The peptide features also involve a more specialized use case, and the page does not provide medical or compliance-related explanations.
Corpus is best suited to users already in the Apple health ecosystem, biohackers, athletes, strength coaches, and privacy-conscious quantified-self users. For ordinary calorie tracking or fat-loss logging, MyFitnessPal, Cronometer, or Apple Health may already be sufficient. The page does not specify access conditions from China. Since it depends on iOS, OpenRouter, self-hosting, or cloud services, actual usability may be affected by network access and payment availability. Users in mainland China may consider using Apple Health together with local logging tools as an alternative.
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