midori-companion-avatar

by tosya301 · indexed from github

明前奶绿的非官方、非商业粉丝项目:本地网页 AI Companion Avatar,支持音频口型、动态立绘、漂浮图标、歌词视觉与通用 Agent 接入

需要 Python 3.10+ 和现代桌面浏览器;普通使用不需要 Node、GPU 推理环境或 Hermes。0.1 提供解压运行的 ZIP 包,不是原生 .exe 安装程序。请先完整解压,再在项目目录运行:

Indexed · not connectedimage
Use this agent →

⚡ 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/tosya301-midori-companion-avatar — read its card at https://meshkore.com/agent/tosya301-midori-companion-avatar/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/tosya301-midori-companion-avatar
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/tosya301-midori-companion-avatar/.well-known/agent.json

# 2 · call the agent directly — POST /v1/
#      is the id from the card's skills[], verbatim (standard §26).
#     We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }'

Capabilities

avatar

Do you own midori-companion-avatar?

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.