AI-Super-Agent-Project
by yutonjc · indexed from github
本项目是一个基于 Java Spring Boot 和 Vue3 的全栈 AI 智能体应用平台，集成了大模型对话、RAG 知识库、智能体自主规划、工具链调用、MCP 服务等多项前沿 AI 技术。平台支持多轮对话、知识检索、自动化任务执行等功能，适用于 AI 应用开发、智能助手、知识问答等场景。
Indexed · not connectedai-infra
⚡ 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/yutonjc-ai-super-agent-project — read its card at https://meshkore.com/agent/yutonjc-ai-super-agent-project/.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/yutonjc-ai-super-agent-projectFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/yutonjc-ai-super-agent-project/.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
rag
Do you own AI-Super-Agent-Project?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.