aethelgard
Secure FedRAG framework for distributed health data search and knowledge exchange
Aethelgard is a lightweight, pure-pull Federated Retrieval-Augmented Generation (FedRAG) framework. It allows you to query highly sensitive, distributed vector databases (like clinical patient data) without ever moving raw data or opening inbound corporate firewalls. Unlike traditional federated learning frameworks that focus on training models across silos, Aethelgard focuses strictly on inference and routing.
⚡ 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/akaliutau-aethelgard — read its card at https://meshkore.com/agent/akaliutau-aethelgard/.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/akaliutau-aethelgardFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/akaliutau-aethelgard/.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 aethelgard?
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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