Agentic Earth

💬

Chat like an LLM. Think like an analyst.

ae chat gives you a conversational interface that feels like ChatGPT — except every answer is grounded in live geospatial data. Ask follow-ups, refine results, and build a full picture across multiple sources in a single session.

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150+ live data sources

AIS vessels, SAR imagery, ACLED conflict events, NDBC buoys, Overture buildings, GDELT, planetary climate layers, and much more — all queryable in plain English.

⚡

One-line install

pip install agenticearth — then ae login. You're querying live satellite, vessel, conflict, and climate data in under a minute.

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Natural language to geodata

Ask a question, get GeoJSON, CSV, or Parquet back. The agent picks the right sources, fetches and cross-references the data, then streams results back to you.

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Python-native

The SDK returns GeoDataFrames if you have geopandas installed — drop straight into your analysis pipeline with zero extra wrangling.

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Export anywhere

Save results as GeoJSON, CSV, or Parquet with --output or result.save(). Every result is also accessible by key for later retrieval.

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MCP — native in Claude Desktop & Cursor

Connect Agentic Earth to Claude Desktop, Cursor, or Windsurf in two minutes. 150+ live geospatial datasets as native tools inside your AI assistant.

Setup guide →

ae chat — a smarter terminal

Most LLMs can reason about geography. None of them can fetch it.

ae chat is an interactive terminal session backed by 150+ live geospatial datasets. Ask it anything — it reasons about what data to pull, fetches it in real time, and gives you a synthesized answer with exportable results. Then ask a follow-up.

$ ae chat

  > What's the current vessel traffic near the Strait of Hormuz?
  ✓ get_ais_vessels  (312 features)

  There are 312 AIS-tracked vessels within 50km of the Strait of Hormuz.
  The heaviest concentration is in the northbound lane — 47 tankers,
  predominantly flagged to Panama and Marshall Islands...

  > Which of those are supertankers carrying crude?
  ✓ get_ais_vessels  (18 features)

  18 VLCCs match the profile. Notable vessels include...

  > /save hormuz_vlccs.geojson
  ✓ Saved → hormuz_vlccs.geojson

The difference from a standard LLM:

	Standard LLM	ae chat
Knowledge cutoff	Yes	No — live data
Real vessel positions	❌	✓ AIS feed
Satellite imagery	❌	✓ SAR, optical
Conflict events	❌	✓ ACLED, GDELT
Exportable geodata	❌	✓ GeoJSON, CSV, Parquet
Follow-up memory	Limited	✓ Full session context

Standard LLM

ae chat

Knowledge cutoff

Yes

No — live data

Real vessel positions

❌

✓ AIS feed

Satellite imagery

❌

✓ SAR, optical

Conflict events

❌

✓ ACLED, GDELT

Exportable geodata

❌

✓ GeoJSON, CSV, Parquet

Follow-up memory

Limited

✓ Full session context

Agentic EarthDeveloper Documentation

Chat like an LLM. Think like an analyst.

150+ live data sources

One-line install

Natural language to geodata

Python-native

Export anywhere

MCP — native in Claude Desktop & Cursor

`ae chat` — a smarter terminal

Agentic EarthDeveloper Documentation

Chat like an LLM. Think like an analyst.

150+ live data sources

One-line install

Natural language to geodata

Python-native

Export anywhere

MCP — native in Claude Desktop & Cursor

ae chat — a smarter terminal ​

`ae chat` — a smarter terminal