EDSim
An Agentic Simulator for Emergency Department Operations
EDSim is a multi-agent simulation of emergency department (ED) workflows driven by large language model (LLM)-powered autonomous agents. Each agent — doctor, bedside nurse, triage nurse, or patient — perceives its environment, makes decisions through cognitive modules, holds natural-language conversations with other agents, and executes clinically-constrained behaviors in real time. The result is a high-fidelity testbed for ED operations research that goes beyond what traditional simulation methods can produce.
⚡ 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/denoslab-edsim — read its card at https://meshkore.com/agent/denoslab-edsim/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/denoslab-edsimFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/denoslab-edsim/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own EDSim?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.