Open Health Atlas
Explore your health records together—and check the evidence behind the patterns.
Created by Kajeesan Jeevendra · AGPL-3.0 licensed
Open Health Atlas brings sleep, training, mood, nutrition and other health records into one local application. Compare periods and inspect the sources, units and calculations behind the results.
Use the dashboard on its own, or connect a compatible MCP client to query your records and verify evidence with the model you choose. Open Health Atlas runs the calculations; the external model provides the interpretation.
Try the fictional demo · Connect an MCP client · Develop the project
macOS desktop preview: Open Health Atlas 0.2.9 is a signed-notarized Apple silicon preview. See the 0.2.9 release page and its attached receipts for exact artifact verification. The installation and build guide and tested/blocked acceptance matrix record the remaining platform limits.
Fictional UI demo snapshot. Explore the demo · Image details.
Choose your starting point
New here? Start here: install and connect your AI. The guide includes copy-paste instructions for a setup agent. Hermes, Telegram, Google Health, Hevy, Cronometer and a Hostinger VPS have their own sections on the separate Optional page.
| I want to… | Start here |
|---|---|
| See the interface without installing anything | Open the browser demo — a clickable, read-only fictional snapshot, with no backend or AI connected. |
| Check the macOS desktop preview | Installation and release status (Apple silicon, signed and notarized 0.2.9 preview). |
| Run the real panel and try fictional data locally | Try the local demo — includes the local API and write broker. |
| Use my preferred AI client with local data | Connect an MCP client — copyable setup and a fictional query → analysis → evidence example. |
| Change code or contribute | Develop the project — environment, relevant tests and contribution guidance. |
The browser snapshot is useful for exploring screens and navigation; its values are not a fresh evaluation of the current engine. Run the local demo to execute calculations, save fictional entries and test imports.
What you can do
- Bring records into a shared timeline. Supported imports and validated entry tools cover training, wearables, sleep, nutrition, subjective logs, symptoms, laboratory records and other health domains.
- Explore recorded patterns. Query summaries or periods, inspect training exposure and recovery, and calculate bounded associations across selected features. Missing data and source differences remain visible.
- Check how a result was produced. Findings retain source, time, units, sample coverage, transformations and replayable evidence references.
- Choose your AI client. The optional local MCP server exposes discovery, query, background analysis and evidence tools. It contains no model and makes no provider calls itself.
For example, compare recorded sleep with day ratings over a selected period, then inspect the number of observations, source coverage and evidence behind the result. An association can suggest a useful question; it does not establish why the days differed.
How the pieces fit
| Component | Responsibility |
|---|---|
| Open Health Atlas | Local records, deterministic calculations, validated writes, evidence and dashboard. |
| Your MCP client and chosen model | Conversation, tool selection and interpretation of returned evidence. |
| Optional external Hermes | The existing integrated conversations, Telegram and configured automation workflows. |
The standalone MCP connection is read-only and does not require Hermes. Model credentials belong in the client. A local database does not guarantee that a client using a hosted model processes returned data locally.
Current scope
This is a developer-oriented, single-user source release. Current local setup supports macOS and Linux with Python 3.11 or newer; native Windows is not supported by the Unix-socket broker and POSIX file locks. The standalone MCP entry point uses stdio. Clients requiring remote MCP need a separate transport setup.
A macOS desktop packaging preview includes the existing dashboard, guided local workspaces and a bundled optional MCP executable. The 0.2.9 preview has exact artifact and receipt details in its release notes. Clean-Mac installation and the minimum supported macOS remain unverified; this is not a stable-release qualification claim. Built-in API-key chat, a hosted multi-user service and a bundled always-on agent are not included. Existing Hermes and external-service integrations require their own configuration. Results describe recorded data and bounded associations; clinical validation and causal conclusions are not claimed. See known limitations and the feature-retention matrix.
Contribute
Start with Contributing, the development guide and the code of conduct. Look for good first issues or propose a focused improvement through the issue forms.
Use fictional or redacted reproductions. Report security vulnerabilities through the private reporting channel, not a public issue.
Evidence and technical detail
- Architecture and product boundaries
- Testing and verified results
- Current implementation checkpoint
- Service deployment
- Repository checks
Creator and license
Open Health Atlas was created by Kajeesan Jeevendra. Its product architecture, data/evidence boundaries and user experience were developed and assembled through an AI-assisted development process.
Original project code uses the GNU Affero General Public License, version 3
only (AGPL-3.0-only). Commercial use is allowed subject to its
terms, including applicable source-sharing requirements. See
licensing and earlier MIT releases for details. Preserve
applicable copyright and license notices.
Third-party components retain their own licenses and credits; see
NOTICE, third-party notices and
research references. Use CITATION.cff for citation.