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Kizuna icon

Kizuna

Kizuna is a local-first personal relationship management system for people, organizations, interactions, reminders, and lightweight pipelines.

Requirements

  • Python 3.12+
  • uv
  • Docker
  • Node ^20.19, ^22.12, or >=24
  • pnpm

Use the version in .nvmrc for the smoothest frontend setup. The repo does not enforce engines strictly because odd Node releases such as 23.x may still run locally even when some packages only declare LTS support.

Local Development

The normal development loop uses Docker only for Postgres. Run the backend and frontend directly from your shell so both support hot reload.

Start the database:

docker compose up -d postgres

Run the backend directly:

cd backend
uv sync
uv run alembic upgrade head
uv run uvicorn app.main:app --reload

Run the frontend directly:

cd frontend
pnpm install
pnpm dev

Development URLs:

  • Backend API: http://localhost:8000
  • Backend health check: http://localhost:8000/health
  • Frontend dev server: http://localhost:5173

You do not need pnpm build for local development. Use pnpm build only when checking a production bundle.

Useful backend checks:

cd backend
uv run pytest
uv run ruff check .
uv run mypy app tests

Useful frontend checks:

cd frontend
pnpm check
pnpm lint
pnpm format:check

Or run all frontend checks together:

pnpm check:all

Demo Seed

Seed a small local dataset after the backend is running:

curl -X POST http://localhost:8000/api/demo/seed

Smoke Test

  1. Start Postgres, backend, and frontend with the commands above.
  2. Optionally seed demo data with POST /api/demo/seed.
  3. Open http://localhost:5173.
  4. Verify People, Organizations, Events, Reminders, Pipelines, Search, Imports, and Exports all load.
  5. Create a person, log an event, add a reminder, and confirm the person detail updates.
  6. Add a pipeline item and advance it to the next stage.
  7. Export a CSV and confirm the new records are present.

About

Local-first personal relationship management system for people, organizations, interactions, reminders, and lightweight pipelines.

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