Lovomo
Lovomo——本地运行的 AI 角色聊天助手：本地大语言模型 + GPT-SoVITS 语音合成，通过 NapCat 接入 QQ。多角色人设与情绪化语音、流式回复、表情包、RAG 知识库、工具调用、定时问候与待办提醒，全部在 WebUI 里配置，另带插件市场与 GitHub 分支发布。数据不出本机。
在 WebUI 中配置完成后点击「仅保存」（需要顺带重启 TTS 时用「保存并重启TTS」），程序会生成 config.json 文件并持久化设置；定时任务、工具、事件等数据分别保存在 data/ 目录下的 JSON 文件中。
⚡ 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/slpk1ng-lovomo — read its card at https://meshkore.com/agent/slpk1ng-lovomo/.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.
https://meshkore.com/agent/slpk1ng-lovomoFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/slpk1ng-lovomo/.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
Do you own Lovomo?
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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