I am excited to introduce OpenGeoAgent, a powerful open-source multimodal AI agent for automated geospatial analysis and visualization! It supports QGIS, Jupyter notebook, and Python scripting. In this tutorial, you’ll learn how to automate GIS workflows using natural language, generate maps, analyze satellite data, and even run complex hydrological models. You can even interact with the agent using voice commands (no typing needed). Video: https://lnkd.in/eEgUMd93 GitHub: https://lnkd.in/eKPuNrfp QGIS Plugin: https://lnkd.in/eGNhGHrd #geospatial #GeoAgent #OpenSource #AI
I like what you are doing, but I hope you understand that my staff at OpenGeoHub Foundation have been nervously texting me about your "OpenGeoAgents".
Awesome work. Have been doing this for a long time but its web based, here is what it can do https://www.linkedin.com/posts/rabby0101_geoai-remotesensing-ndvi-ugcPost-7455620555908546560-ofhW?utm_source=social_share_send&utm_medium=ios_app&rcm=ACoAABmMIcUB-OO5SRy2RhxXK14RLERGRWqWQHM&utm_campaign=copy_link.
What is the best way to connect (extend) lines to meet at the point. This is vector map of Russia 2 miles (versty) from 1850th. Sorry cannot send pictures, but lines end at the outskirt os a settlements, not going to downtown. We did not want to vectirize streets initially. But I need to create road network. But, the lines are not connected. To do it manually is going to be a challenge, since I no longer have a team of cartographers. Is the some tools I can use? Tried most of it. No luck
Natural language + multimodal AI + geospatial workflows could dramatically reduce the technical barrier for spatial analysis and automation.
This is very convenient. Thank you so much for sharing. It takes time normally with some of these. I will put this to the test sometime in next days one evening and play it out. Thanks again for sharing!
Deeply inspiring, i can already imagine a plethora of possibilities from here!
Wow! Well done. “Jarvis, show aspects east and slopes less than 10% with no VOs within 300 meters”.
Tavis Mansfield you should play with this tool! Could be very useful

This is a powerful step toward making geospatial tools more accessible and interactive. It’s interesting to see how AI is now helping automate the use of GIS tools. The next layer is how these tools connect into a system—so we’re not just running analyses faster, but understanding how spatial processes behave and propagate across a connected environment. That’s where things start moving from automation to decision logic. We’ve largely mastered WHERE and WHAT—the next frontier is HOW and WHAT HAPPENS NEXT.