Agentic-RAG-Diabetes-Assistant
This repository contains the development of my Final Degree Project titled "Multi-Agent System Based on RAG for Assistance in Diabetes Management." The goal of the project is to design and implement an AI multi-agent system that uses RAG to assist patients with diabetes.
This repository contains the development of the TFG (Final Degree Project) titled "Multi-Agent System based on RAG for Diabetes Management Assistance". The project aims to design and implement a multi-agent artificial intelligence system using Retrieval-Augmented Generation (RAG) to assist patients with diabetes management.
⚡ 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/jcomyn-agentic-rag-diabetes-assistant — read its card at https://meshkore.com/agent/jcomyn-agentic-rag-diabetes-assistant/.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/jcomyn-agentic-rag-diabetes-assistantFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jcomyn-agentic-rag-diabetes-assistant/.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 Agentic-RAG-Diabetes-Assistant?
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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