Deliver Step 9: agent-card.json, SKILL.md, USDA lookup, integrations dynamic config, Welcome/Integrations/MealPlan pages, API methods, README, routes

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# Fitness Rewards
# Diligence — Self-Hosted Fitness Rewards with AI Agent Support
Personal fitness web app with a points-based behavioral economy. Earn points through fitness activities, spend them on real-world rewards.
Points-based fitness accountability app. Log workouts and food, earn points, unlock rewards. Connect any AI agent via MCP for logging, coaching, and meal planning. Self-hosted, open source, zero cloud dependencies.
## Stack
- **Backend**: FastAPI + PostgreSQL + SQLAlchemy (async)
- **Frontend**: React + Vite
- **Deployment**: Docker Compose via Coolify
Built by [DiligenceWorks](https://diligenceworks.online).
## Quick Start (Development)
## Quick Start
```bash
# Backend
cd backend
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
uvicorn app.main:app --reload
# Frontend
cd frontend
npm install
npm run dev
git clone https://github.com/diligenceworks/diligence
cd diligence
./setup.sh
docker compose up -d
```
## Deploy (Production)
```bash
cp .env.example .env
# Edit .env with real secrets
docker compose up -d --build
```
Open http://localhost and create your account.
## Features
- Science-based onboarding (PAR-Q+, TTM Stages of Change, BREQ-2)
- Points economy with configurable earning rules and rewards
- Daily gate: earn your daily minimum before unlocking rewards
- Weekly targets with reset
- Strava + Polar integration (OAuth 2.0)
- Open Food Facts barcode scanning for food logging
- Curated external fitness resources (Darebee, StrongLifts, YouTube)
- 90-day program commitment tracking
- Mobile-first PWA design
- **Points economy** — earn from workouts, food logging, step goals. Daily gate locks rewards until you earn enough. Weekly reset.
- **Science-based onboarding** — PAR-Q+ safety screening, TTM stages of change, BREQ-2 motivation profiling.
- **AI agent integration** — 14 MCP tools for logging, coaching, meal planning, and device configuration.
- **Meal plans** — AI-generated plans with compliance tracking and points integration.
- **Activity sync** — Strava, Polar (OAuth 2.0). Garmin, Fitbit, Withings, WHOOP, Oura configurable in-app.
- **Food search** — Open Food Facts (4M+ products) + USDA FoodData Central (400K+ research-grade).
- **Program tracking** — 90-day structured programs (StrongLifts, Darebee, etc.) with day-by-day progression.
- **Configurable rewards** — you define what's worth earning. Gaming time, screen time, treats — your rules.
## Connecting an AI Agent
Point your agent's MCP config to `http://localhost:3001/sse` (development) or `https://your-domain/mcp` (production behind reverse proxy).
Works with Claude Desktop, Cursor, Windsurf, and any MCP-compatible agent.
Copy the contents of [AGENT_GUIDE.md](AGENT_GUIDE.md) into your agent's system instructions for motivation-aware coaching.
## Configuring Integrations
All integrations are configured through the app UI (Settings → Integrations) or through your AI agent. No `.env` file editing or container restarts needed.
## Data Sovereignty
Diligence is self-hosted software. Your data never leaves your server. No cloud dependency, no vendor lock-in, no telemetry. MIT license — fork it, modify it, keep it forever.
Your fitness data — heart rate, body composition, food intake, GPS traces — is biometric data that deserves sovereignty.
## Stack
- Python 3.12, FastAPI, SQLAlchemy
- React 18, Vite
- PostgreSQL 16
- FastMCP (Streamable HTTP/SSE)
- Docker Compose
## Contributing
Contributions welcome. Open an issue to discuss before submitting a PR.
## License
MIT — see [LICENSE](LICENSE).