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Build, simulate, calibrate, and analyze reproducible EPA SWMM stormwater models.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Agentic SWMM" yet — see the docs or source repo.
Using Agentic SWMM, create a runnable baseline EPA SWMM model from the provided network nodes, pipe parameters, subcatchment areas, and rainfall conditions, then generate a run manifest and continuity check results.
A reproducible SWMM model file, run configuration summary, and continuity check report with potential modeling issues.
Use Agentic SWMM to calibrate model parameters against historical rainfall and monitored flow data, compare simulated versus observed values, and provide recommended parameters with error metrics.
Calibrated parameter sets, fit comparison results, error metrics, and a record of the calibration process.
With Agentic SWMM, compare current rainfall conditions with future climate design storms, analyze flooding at key nodes, pipe surcharge, and overflow risk, and generate chart-based summaries.
Risk comparisons across scenarios, charts of key metrics, and an analysis summary of system weak points.
Simulate wastewater treatment processes in natural language for AI-driven analysis and automation.
Configure, run, debug, and analyze SWMF space weather modeling workflows.
Control FEFLOW 7.5 via MCP for groundwater modeling and result export.
Enable coding agents on one machine to discover and collaborate together.
Compile, run, and diagnose COMSOL Java model scripts in batch workflows.
Automate COMSOL multiphysics modeling, solving, and result visualization through MCP.