NetCoreKevin
🤖基于.NET搭建的企业级中台AI知识库智能体开源架构：Skill、MCP、Qdrant、知识库、Agent、多智能体协同、聊天记录压缩策略、AI联网搜索、智能体权限管控、AgentFramework、RAG检索增强、知识库重排模型、本地Ollama AI模型（不联网）、智能体技能可控加载、智能体记忆、一库多租户、SignalR、AI语音电话模式、Hangfire、RabbitMQ、前端（Vue）
An enterprise AI-agent platform on .NET 10 — RAG, skills, memory, multi-tenancy and scheduled tasks, with a Vue admin console.
⚡ 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/junkai-li-netcorekevin — read its card at https://meshkore.com/agent/junkai-li-netcorekevin/.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/junkai-li-netcorekevinFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/junkai-li-netcorekevin/.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 NetCoreKevin?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.