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OpenGeo-AI-Assistant

An open-source, AI-powered geospatial assistant for exploring, analyzing, and visualizing Earth data using natural language queries. This project is based on the original Earth Copilot by Microsoft, but is Azure-free.

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What's in it

Data offered docs-verified
satellite and geospatial data collections, searched and visualized via natural language · Open-Meteo API integration
Coverage llm-inferred
Global
Access docs-verified
Open source; runs locally via Docker; the user supplies their own LLM endpoint and API key (LLM_BASE_URL, LLM_API_KEY, LLM_MODEL); licence listed as Other

Useful for

Use cases llm-inferred
Natural-language discovery of satellite imagery collections for a site before a flood or drainage desk study · Quick visual screening of earth-observation coverage for ecological baseline or BNG desk studies · Prototyping a self-hosted, Azure-free geospatial chat tool for a consultancy team
Audience llm-inferred
GIS analysts · ecologists · hydrologists · developers extending the codebase

Limitations

Constraints docs-verified
Default ENABLE_AUTH=false is for local development only; production requires auth enabled · CORS_ORIGINS defaults to wildcard (*), which must not be used in production · Semantic (vector) search in ai-search is not used in the deployed app; only the STAC API is active · The MCP server is optional and not required for basic usage; the primary product is a web app · Derived from Earth Copilot; not affiliated with or endorsed by Microsoft or NASA
Licence
Other
Authentication
API key via env: LLM_API_KEY (auto-extracted from README)
GitHub stars
3
Last commit
16/10/2026
Last successful page check
14/10/2026
Page health
healthy
Package
Not recorded
Verification
Not independently verified

Auto-extracted, unverified fields: tools, auth. Check upstream documentation.

Provenance & evidence

Daily discovery 2026-10-17: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 14/10/2026 · daily-2026-10-17 (github-search)

Related sources

Browse: GIS & earth observation · Environmental monitoring · Flood risk assessments