openGym Launches as Open-Source Routine and Workout Tracker
· GlobeWire Daily Editorial Desk · Source: github.com

Image: GitHub · Photo source · Resized and letterboxed to 16:9; no AI generation
Introducing openGym
openGym is a newly released, open-source workout and body-weight tracking platform designed for users who want to manage their fitness data locally or self-hosted. Available via mobile app stores and direct downloads, the project aims to provide modern routine planning without relying on third-party cloud servers, mandatory subscriptions, or telemetry.
Key Features and Capabilities
- Self-Hosted or Standalone: Users can run the platform via Docker on their own infrastructure or use standalone mobile apps locally without creating an external account.
- Comprehensive Exercise Library: Includes thousands of searchable exercises categorized by muscle groups, complete with animated demonstrations and equipment filters.
- Routine Planning: Offers starter plans such as Push/Pull/Legs and 5x5, supports flexible weekly schedules or open rotations, and accommodates advanced training styles like supersets, drop sets, and timed holds.
- Data Import and Export: Allows imports from popular trackers like Strong, Hevy, and FitNotes, alongside Apple Health weight exports, with complete data export options to CSV or JSON formats.
Smart Tools and Integrations
- Live Progression Tracking: Calculates estimated 1RM, tracks volume dynamically, and applies customizable progression rules.
- Optional AI Features: An opt-in AI coach and Model Context Protocol (MCP) server can be configured using a personal provider key (such as Anthropic, OpenAI, or Ollama) to assist with routine drafting.
- Wearable Support: Includes dedicated companion tools for smartwatches and lock-screen widgets for quick set logging.
Verification and Licensing
Source code and documentation are hosted publicly on GitHub and mirrored on GitLab under the GNU AGPL v3.0 license. Users interested in verifying the original announcement, reviewing installation guides, or inspecting the roadmap can check the official repository and the embedded self-hosting documentation.
AI-assisted reporting; source claims are attributed and have not been independently verified.
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