floodops-multi-agent-system
8-agent LangGraph flood-monitoring & disaster-response system — 10 real-time data connectors, Anthropic/Gemini LLM reasoning, Google Maps + deck.gl frontend
floodops is a Python + LangGraph backend paired with a Vite + Google Maps frontend. It ingests data from NOAA, USGS, ESA Copernicus, ECMWF, HydroSHEDS, GLIMS, OSM, WorldPop, ESA CCI Soil Moisture, the Dartmouth Flood Observatory, GDACS, ReliefWeb, and Google's operational Flood Forecasting API (the Nature-2024 LSTM model behind Flood Hub); runs a 7-phase state machine across 8 specialised agents; and surfaces the result on a live map with an LLM chat panel for situational reasoning.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/krishddd-floodops-multi-agent-system — read its card at https://meshkore.com/agent/krishddd-floodops-multi-agent-system/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/krishddd-floodops-multi-agent-systemFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/krishddd-floodops-multi-agent-system/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own floodops-multi-agent-system?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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