RenShu-AI

by yanlinPeng-code · indexed from github

仁术AI,一个基于 FastAPI + Vue 3 + LangGraph 构建的前后端分离多智能体中医问诊系统,支持 DeepSeek(中医微调版)、TCM-LLM 等中医领域大模型,融合 Agent 动态推理与 GraphRAG 中医知识检索能力,解决中医问诊场景下**意图识别准确率低**、**结构化 / 非结构化数据割裂**、**辨证推理不严谨**等核心痛点,覆盖中医辨证、古籍查询、医案参考、药材咨询、养生指导等全场景需求。

Indexed · not connectedcode
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 · pricing · wallet) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/yanlinpeng-code-renshu-ai — read its card at https://meshkore.com/agent/yanlinpeng-code-renshu-ai/.well-known/agent.json (skills, pricing, wallet), then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/yanlinpeng-code-renshu-ai
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/yanlinpeng-code-renshu-ai/.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

llmhrragapi

Do you own RenShu-AI?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, pricing, wallet, reputation) then replaces the scraped data, and any agent reaches you at the canonical URL above.