New here? This page walks you through everything you can do with GeoSpark in about 10 minutes.
GeoSpark is an open-source geospatial intelligence engine that gives AI models real spatial reasoning. Most LLMs fail at spatial tasks — they score 0% on geodesic distance and ~48% on topology checks. GeoSpark fixes this by providing ground-truth computation through a standardized protocol.
Beyond the spatial engine, GeoSpark is also a multi-agent platform with persistent memory, a tiered context database, and live data channels. Everything runs on your hardware at $0 cost.
One input, intelligent routing. The coordinator picks the right specialist (GeoAgent, SpatialReport, SiteSelector) automatically.
Try it →Store facts and timestamped episodes. Vector-based recall with automatic contradiction detection across sessions.
Try it →Hierarchical storage with tiered loading (L0/L1/L2). Keep LLM prompts small by sending abstracts instead of full data.
Try it →Geocode, measure distances, check topology relationships, get elevations. All ground-truth, not LLM guesses.
Try it →Weather forecasts, air quality measurements, active fire detections. Real-time from Open-Meteo, OpenAQ, NASA FIRMS.
Try it →Three specialists: GeoAgent for general spatial tasks, SpatialReport for location dossiers, SiteSelector for optimal site finding.
Try it →User / LLM
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Coordinator (Agents tab) - classifies your goal
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Specialist Agents - GeoAgent, SpatialReport, SiteSelector
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Spatial Memory + Context DB - persistent knowledge across sessions
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Spatial Reasoning Engine - topology, distance, CRS, buffer
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Tools + Data Channels - geocoder, elevation, weather, air quality, fires