writing-agent
It shows an intelligent agent based on LangGraph for long form writing.
여기서 구현하는 LangGraph 기반의 multi-agent는 사람의 글쓰기 사고 과정을 모방함으로써 한번에 MS Word 기준으로 약 7-11페이지 정도의 글쓰기가 가능합니다. 인터넷과 RAG를 통해 얻어진 결과를 활용하고 markdown 형태로 작성되어 blog나 github에 바로 올릴 수 있으며, URL로 Markdown 문서를 공유할 수 있습니다.
⚡ 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-writing-agent — read its card at https://meshkore.com/agent/kyopark2014-writing-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/kyopark2014-writing-agentFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kyopark2014-writing-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 writing-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.
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