agent-wiki
It shows how to use wiki for the data source of agent.
OpenAI 공동 창업자이자 Tesla 전 AI 리드인 Andrej Karpathy는 구조화된 Markdown을 이용해 로컬에서 LLM Wiki를 활용하여 데이터를 조회하는 방법을 제안하였는데, RAG/벡터DB없이도 로컬에 있는 다양한 데이터를 Graph로 조회할 수 있는 방법을 제공합니다.
⚡ 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/kyopark2014-agent-wiki — read its card at https://meshkore.com/agent/kyopark2014-agent-wiki/.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/kyopark2014-agent-wikiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kyopark2014-agent-wiki/.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 agent-wiki?
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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