Die Werkzeugbeschreibungen sind auf Englisch.

agentic-swmm-workflow — Werkzeugprofil und Verlauf

Agentic SWMM is an automated, auditable, and memory-informed framework for reproducible stormwater modelling, integrating QGIS and EPA SWMM through the aiswmm runtime, reusable Skills, and MCP interfaces, with QA verification, provenance tracking, calibration support, and Codex, Hermes, Claude code as well as OpenClaw compatibility

Aktiv

Kanonische Quelle ↗

Sprache
Python
Lizenz
MIT
Erstellt
Letzte Aktivität
Themen
  • agentic-ai
  • agentic-framework
  • claude-code
  • claude-skills
  • codex
  • gis
  • hermes-skill
  • mcp
  • mcp-servers
  • modelling-memory
  • openclaw
  • provenance-tracking
  • qgis
  • reproducible-research
  • skills
  • stormwater
  • stormwater-modelling
  • swmm
  • uncertainty-quantification
  • urban-hydrology

Aktuelle Messung

25GitHub-Sterne+3 (+13.6 %)
gemessenes Wachstum

Momentum uses available readings from the last 7 days: measured with at least two comparable readings, estimated otherwise.

Messverlauf

90 Tage · 90 Messungen maximal
DatumWertMetrik
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Klassifikationen

Bereiche
Typ
MCP-Server
Anwendungsfälle