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DuarteSantos8/openGym

⭐ 20416 JavaScript added to this list on 2026-11-02 repository created 2026-07-18

openGym is a self-hosted workout and gym-tracking application distributed as a Docker Compose stack, with native-feeling apps for iPhone, Android and the web (installable PWA, passkey sign-in, offline support, multi-device sync). It keeps all data, including routines, workout logs, body-weight history and progress photos, on the user's own server instead of a vendor's cloud, with no subscription, ads or telemetry. Planning features include a library of over 5,600 exercises with animated demos and muscle-map browsing, four starter programs (push/pull/legs, upper/lower, full body, 5x5), supersets, drop sets, rest-pause and timed or cardio exercises, and either a weekday schedule or a day-agnostic A/B/C rotation. During training it pre-fills weights from the last session, runs rest timers, detects personal records, and computes plate math for barbell, EZ bar, trap bar and Smith-machine setups. Progress tracking covers per-exercise or per-routine progression rules (linear, Greyskull, double/triple progression), an estimated one-rep-max curve, structural-balance ratios, and a year-long training heatmap. Two optional AI-adjacent features sit on top of the core tracker and are off by default: an AI coach that reads a user's training history and answers questions using a provider key the user supplies (Anthropic, OpenAI, Gemini or an OpenAI-compatible endpoint, including local Ollama), and a local MCP server that exposes the same training history to an MCP client such as Claude Desktop, letting the assistant answer questions about past workouts or log a new one described in natural language. Both are opt-in, run locally, and are excluded from the default Docker build; the project's CI test suite covers the frontend, API and MCP components separately. openGym is AGPL-3.0 licensed and supported through voluntary donations rather than a paid tier.

https://github.com/DuarteSantos8/openGym

fitnessself-hostedworkout-trackerdockerpwamcp-serverai-coach

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