AI-Media2Doc
一键将音视频转化为小红书/公众号/知识笔记/思维导图/视频字幕等各种风格的文档。
2️⃣：参考variables_template.env 在项目根目录下生成 variables.env 文件。 请根据 后端部署指引 / 配置项说明 完善 variables.env 文件中的环境变量。 variables.env 必须与 docker-compose.yaml 在同一目录下, 建议建个新的文件夹单独存放这两个文件。
⚡ 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/hanshuaikang-ai-media2doc — read its card at https://meshkore.com/agent/hanshuaikang-ai-media2doc/.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/hanshuaikang-ai-media2docFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/hanshuaikang-ai-media2doc/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own AI-Media2Doc?
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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