clinical-rag-agent
Evidence-based clinical workflow assistant with agentic RAG for hypertension care with LangGraph orchestration, hybrid retrieval, OKF knowledge spine, safety-first guardrails, and Vercel deployment.
An evidence-based, zero-hallucination clinical workflow assistant combining hybrid retrieval, curated Open Knowledge Format (OKF) concepts, LangGraph stateful orchestration, and safety-first guardrails — delivered via a modern Claude-style AI workstation. Ready to deploy at $0/month.
⚡ 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/jeevesh2515-clinical-rag-agent — read its card at https://meshkore.com/agent/jeevesh2515-clinical-rag-agent/.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/jeevesh2515-clinical-rag-agentFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jeevesh2515-clinical-rag-agent/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own clinical-rag-agent?
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.