Your medical history, fragmented across a dozen patient portals, in one place on your server: MediKeep (formerly Personal Medical Records Keeper) is a self-hosted health record system. Built with a React frontend and FastAPI backend over PostgreSQL, it organizes 14 categories of medical data - medications with dosages and schedules, conditions, procedures, allergies, immunizations, symptoms, injuries, doctor visits and encounters, treatments, lab results, and even medical equipment with service dates and supplier info. Treatment management is genuinely sophisticated: an advanced mode links treatments to their medications with per-medication overrides for prescriber, pharmacy, and effective dates, and reverse lookup shows which treatments use a given medication. A dashboard summarizes records and recent activity, file uploads attach documents to records, and tagging works across categories. When a new specialist asks for your history, the report builder assembles custom reports by category and exports to PDF, JSON, or CSV - a curated, portable summary instead of a folder of photocopies. Authentication supports Google and GitHub SSO with OIDC providers like Keycloak and Authelia expected to work, and the built-in backup system protects the archive. Health data is exactly what should never live in someone else's cloud.

Mere Medical pulls the records from every hospital and clinic patient portal you use into one date-ordered timeline, so lab panels, immunizations, and procedures from different systems sit side by side. Each timeline card shows its facility and, when recorded, the provider, and expands with View More; a Jump To index leaps between years. The Summary tab condenses bookmarked labs, medications, conditions, immunizations, care plans, and allergies onto one dashboard whose cards can be dragged into any order or hidden. Lab results are graphed over time wherever the units line up, and a search bar finds specific entries by keyword. Connections sync from Epic MyChart, Oracle Health (Cerner), Veradigm, DrChrono, eClinicalWorks Healow, athenahealth, and NextGen, and several sources can feed one profile at once. Everything lives on your device, so records stay searchable offline and no account sign-in is needed; an optional password encrypts them at rest. Separate user profiles hold each person's records, and JSON export and import make backups simple. Experimental AI features add semantic search that links a phrase like high blood sugar to related labs, plus a Mere Assistant that answers plain-language questions about your records using local Ollama models or an OpenAI key. Install it on a phone or desktop home screen for quick access in the waiting room. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Three lab PDFs, a phone photo of a printed slip, and a spreadsheet become one cholesterol trend in Mirobody, a health data engine you host yourself, with the source file behind every number. Upload reports in 23 file types, import an Apple Health export, or connect Garmin, Oura, and Whoop, and every reading keeps a link to the page it was read from. Test names in English, Chinese, Japanese, and other languages resolve offline to LOINC codes and UCUM units, so HbA1c and Glycated Hemoglobin land on one series, and a name it cannot place stays unresolved instead of guessed. Ask questions in plain language and the agent shows each step as it works, charts the trend, and opens the reading and file behind every figure. A health journal turns one typed sentence into coded symptoms, blood pressure readings, and a medication entry, and a denied symptom like no fever is never logged. Genetic exports from 23andMe, AncestryDNA, and WeGene, or a VCF, can be queried by rsID, gene, or region. A care circle lets relatives share their own records on their own terms, and Claude Code, Codex, and Cursor can read your record through the built-in MCP endpoint. Choose OpenRouter, OpenAI, Gemini, Anthropic, or DeepSeek for answers, or keep every model on your own machine. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Baby Buddy is a private self-hosted child care tracker that centralizes feeding sessions, sleep cycles, diaper changes, and developmental health milestones into a collaborative dashboard for parents and caregivers. Caregivers can start quick timers on mobile devices to measure nursing intervals, bottle feedings, naps, and tummy time sessions with single-tap precision. The dashboard automatically calculates daily averages, feeding amounts, and awake windows to help families establish consistent daily sleep and feeding routines. Parents can track diaper changes by recording wetness, stool consistency, and color anomalies to spot digestive health changes early. Physical measurements including weight, height, and head circumference plot directly against World Health Organization growth curves to visualize percentile progression between pediatric visits. Multi-child profiles allow families with twins or multiple young children to switch contexts instantly and monitor individual growth timelines. Granular user permissions let parents invite nannies, babysitters, and relatives with restricted logging permissions while keeping administrative settings private. The built-in REST API and webhook system enable physical smart button clicks and home automation routines to log events instantly without opening a browser. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD-2-Clause licensed.

Garmin, Oura, Whoop, and Apple Health each speak a different data dialect, and Open Wearables translates all of them into one consistent REST API that you host yourself. Users authorize through a connection link or the connect widget, history backfills on the first sync, and heart rate, HRV, SpO2, sleep, workouts, and meals land in one normalized schema. When two devices record the same night, configurable data priorities decide which provider and device type wins. Native iOS, Android, Flutter, and React Native SDKs push Apple Health, Samsung Health, and Health Connect data from the phone, and full Apple Health XML exports can be imported too. Outgoing webhooks announce new data with signed payloads, test events, and delivery logs, while a live sync stream shows every pull as it happens. The developer portal adds a dashboard, user profiles with sleep, meals, scores, and women's health tabs, sync history, data coverage, API keys, team invitations, retention policies, and a seed data generator. Sleep and resilience scores ship with open algorithms you can audit and tune. An MCP server lets Claude Desktop or Cursor answer questions such as how a user slept last week. Use it for AI health coaches, fitness coaching apps, healthcare platforms, research cohorts, or a personal health archive with n8n automations on top. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Lyftr delivers a self-hosted workout and nutrition tracker that runs on a small VPS — no subscriptions, no vendor lock-in, no "export is a Pro feature" paywalls. The Go backend with Gin framework provides JWT authentication and a REST API while storing everything in a single SQLite database file you can back up with one copy command. The exercise library ships with 800+ movements auto-seeded on first run, letting you build reusable workout programs with target sets, reps, and weights from day one. Active workout mode provides a guided set-by-set flow through your session while Gym Mode offers a full-screen card layout showing one exercise at a time with an integrated rest timer for focused training. The React frontend built with TypeScript and Tailwind delivers a mobile-first interface featuring a dashboard with weekly session KPIs, daily calorie and protein tracking, 12-week consistency heatmap, volume trend charts, and muscle balance visualization with sparklines. Nutrition tracking connects to Open Food Facts for food search with camera-based barcode scanning, logging calories and macros across customizable meal sections. Bodyweight logging with trend graphs supports both lbs and kg units across all data. An Android APK connects to your self-hosted instance for native mobile access. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Stop handing your daily food diary, body weight history, and biometric sleep data to ad-funded fitness clouds: NutriTrace brings complete calorie, macro, micronutrient, and wellness tracking to your own server with an offline-capable web PWA and native Android app. Log meals across customizable slots using live Open Food Facts and USDA FoodData Central lookups, barcode scanning, AI nutrition label OCR, or direct recipe imports from Mealie and CookTrace. Calorie and macro targets adjust automatically through three goal engines, including an inspectable Adaptive TDEE algorithm that regresses 35 days of intake against scale weight at 7,700 kcal per kilogram. Connect Fitbit via Google Health, Garmin, Withings, and Android Health Connect to pull steps, heart rate variability, sleep stages, and body composition into unified Sleep, Readiness, and Resilience scores. An integrated Trace AI assistant and Smart Log let you log meals by voice, text, or meal photo, while the opt-in Model Context Protocol server exposes 20 read, write, and management tools to Claude Desktop, Cursor, and Codex. Multi-user households get OpenID Connect SSO and one-step migration from MyFitnessPal, Cronometer, Lose It, and Waistline. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

HabitSync treats habit tracking as a team sport, because willpower alone rarely survives February. Set each habit up the way life actually works: daily, weekly, monthly, on chosen weekdays, or at a custom interval, with a target value to reach or a ceiling to stay under for the habits you are trying to quit. Logging takes one tap, or a long press when today's effort deserves a custom number or a stopwatch. Share a habit with a partner, a sibling, or the whole household and everyone's progress sits side by side, which turns "did you go to the gym" into a question the dashboard answers. Monthly challenges raise the stakes with community voting, leaderboards, and medals for the top performers, while gentle automation watches your back: scheduled reminders when a habit goes unlogged, an alert when your completion slips under a threshold, and a quiet nudge when a friend overtakes you. Years of Loop Habit Tracker history import instead of being abandoned, and the installable web app keeps the streak one tap away on any device. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD-3-Clause licensed.

No targets, no gamification spiral, no motivational nagging: Beaver Habit Tracker is a self-hosted habit tracker deliberately built without "Goals". The core loop is honest: add habits, check them off each day, watch streaks accumulate on a calendar view. Its design follows behavioral-science basics - make it obvious (visual streak cues), make it attractive (progress is the motivator), make it satisfying (tracking becomes its own reward). Beyond the daily checklist it supports per-day notes intelligently grouped per habit, periodic habits, habit categories and tags, drag-to-reorder (manual or automatic), dark mode, and detailed streak and frequency views. Data lives where you choose: a single SQLite database or flat JSON files on a mounted volume, with JSON export and import for full portability. A REST API opens automation - community integrations already cover Stream Deck buttons, Home Assistant triggers, and CalDAV. The Python app ships as one Docker container with no external dependencies; environment variables tune everything from first day of week and index-page columns to iOS standalone PWA mode, and single-user setups can bypass the login entirely with TRUSTED_LOCAL_EMAIL. BSD-3-Clause licensed with no commercial restrictions - a well-executed single-purpose tool whose mobile PWA works anywhere a browser does.

openGym is a self-hosted gym and body-weight tracker that plans your weekly routines, guides every set with pre-filled weights and rest timers, and keeps your training data on a server you control instead of inside a subscription app. Over 5,600 exercises come with animated demos, searchable by body part and the equipment you own, and you can add custom ones with your own photo or video. Progression follows a rule you pick per routine (linear, Greyskull LP, double, triple, or added time), and each target explains where it came from. Supersets, warm-ups, drop sets, rest-pause, timed planks, and cardio by time and speed all log properly, and plate math shows what goes on each side of the bar. A muscle map shows where your volume went, what is still recovering, and what went untrained, beside estimated one-rep maxes, a year-long heatmap, and body weight charted against your goal. Imports from FitNotes, Strong, and Hevy carry your history over. Several people can share one server, each with a private passkey profile, and an optional admin dashboard handles invite-only signup. An optional AI coach, off by default, drafts routines and suggests changes through your own Anthropic, OpenAI, Gemini, or Ollama endpoint, and nothing applies without your approval. The interface speaks 19 languages. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Strength training, cardio, and body metrics land in one workout log on your own server, backed by an optional AI coach that explains its advice from your real numbers. Quick entry such as 100x8@9 logs weight, reps, and effort in one line, with a rest timer, plate-loading calculator, and warm-up ramp beside the set table. A weight picker offers only loads your equipment can build, and a readiness check-in adjusts the suggested load and says why. Templates for 5/3/1 BBB, GZCLP, nSuns, PPL, and Upper/Lower run as written and edit like any custom program. Progress pages chart estimated 1RM, weekly volume per muscle group against MEV and MRV bands, a muscle heat map, bodyweight goals, and a training calendar. Garmin FIT, TCX, and GPX imports need no cloud account and add heart-rate charts and aerobic decoupling to each run or ride. The coach writes a weekly debrief, chats in a streaming conversation, and drafts a full program from a one-sentence goal, using your own Anthropic or OpenRouter key. History imports from Strong or Hevy CSV files with a dry-run preview and exports to CSV or TCX, and an MCP connector lets ChatGPT or other agents analyse it. The app installs as an offline-capable PWA, speaks English, French, Russian, and German, and keeps every user's data separate. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.