Hey Search

A privacy-respecting metasearch engine that aggregates results from multiple search engines.

Inspired by SearXNG.

Architecture

  • Backend: Python / FastAPI — async metasearch orchestrator with retry logic
  • Frontend: React + Vite + TypeScript + Tailwind CSS (shadcn theming) — mobile-first UI
  • Docker: Multi-stage build (Node frontend build → Python runtime)

Prerequisites

  • uv (Python package manager)
  • Node.js >= 18
  • Python >= 3.12
  • Redis (optional — enables search result caching)

Running Locally

1. Backend

cd backend
uv sync                # install dependencies
uv run uvicorn app.main:app --reload --port 8000

To enable Redis caching:

REDIS_URL=redis://192.168.1.2:6399 uv run uvicorn app.main:app --reload --port 8000

The API will be available at http://localhost:8000. Interactive docs:

2. Frontend

cd frontend
npm install            # install dependencies
npm run dev            # start dev server with hot reload

The frontend dev server runs at http://localhost:5173 and proxies /api requests to the backend.

3. Quick start (both)

# Without Redis (caching disabled)
just dev

# With Redis
REDIS_URL=redis://192.168.1.2:6399 just dev

4. Docker (production)

docker build -t hey-search .

# Without Redis
docker run -p 8000:8000 hey-search

# With Redis
docker run -p 8000:8000 -e REDIS_URL=redis://your-redis:6379 hey-search

Then open http://localhost:8000.

API Endpoints

Method Path Description
GET /api/search?q=&category= Search web or images
GET /api/autocomplete?q= Autocomplete suggestions
GET /api/engines List all search engines
PUT /api/engines/{name} Enable/disable an engine
GET /api/settings Get app settings (cache TTL)
PUT /api/settings Update settings
DELETE /api/cache Flush search cache

Features

See FEATURES.md for the full feature list.

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