Spatial AI for the real world. Your context-aware assistant that knows where you are.
Open the app → instantly see:
- 📍 Where you are (street, postcode)
- ⛅ Weather + rain forecast
- 🕌 Current prayer time, next prayer
- 🚏 Live bus/train arrivals with countdown
- ☕ Nearby cafes, restaurants, pharmacies, shops
Move → it updates automatically. No searching, no typing. Just awareness.
Instant data: When you arrive somewhere, Malten fetches what you need immediately - weather, transport, places. No waiting.
Smart caching: Data is cached spatially. Move 500m? Get fresh local data. Stay put? Use cache.
Background agents: After serving you instantly, agents continue indexing the area - more places, more detail. You never wait for them.
go install github.com/asim/malten@latest
maltenOpen localhost:9090, enable location.
# For natural language queries
OPENAI_API_KEY=xxx ./malten
# or
FANAR_API_KEY=xxx FANAR_API_URL=https://api.fanar.qa/v1 ./malten- Location: OpenStreetMap Nominatim
- Weather: Open-Meteo
- Prayer times: Aladhan
- Transport: TfL (London buses, tubes, trains)
- Places: OpenStreetMap via Overpass
- Traffic: TfL disruptions
User at location
→ Check cache (instant)
→ Cache miss? Fetch now, cache, return
→ Background: agent enriches area
→ Next request: cache hit (instant)
No waiting. Cache-first. Fetch on demand. Enrich in background.
MIT