Vue3_WUT_RAG
武理小精灵是一个面向武汉理工大学校园场景的全栈agent，基于 Vue 3 + Pinia + Express + Qdrant + SQLite 构建。系统通过JEV 决策模型双引擎路由（影子/灰度/强制三模式）自动识别用户意图，在普通对话、知识库检索（RAG）和 Agent 工具调用三种模式间智能路由，并以 SSE 流式返回回答、来源引用与执行轨迹。
docId 由 backend/src/utils/doc-id.js 从 (标题, 类别) 确定性派生（doc_ ），所以同一份资料重新入库会得到同一个 ID，不再是一次一个随机 UUID。这也意味着同一 (标题, 类别) 的不同内容属于"覆盖"语义——重新入库会替换旧文档。
⚡ 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/l123121-vue3wutrag — read its card at https://meshkore.com/agent/l123121-vue3wutrag/.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/l123121-vue3wutragFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/l123121-vue3wutrag/.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 Vue3_WUT_RAG?
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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