KnowledgeFlow-AI
企业级知识管理平台：上传文档即可获得带引用来源与置信度的 RAG 智能问答，以及 LangGraph 编排的 Agent 工作流（含 human-in-the-loop 人工确认节点）。Spring Boot 3 + Vue 3 + FastAPI 混合全栈，Qdrant 语义检索、Redis Streams 异步文档流水线、多租户隔离、编辑社论风前端；API Key 界面化配置，Docker 一键部署开箱即用。
⚡ 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/shanhuhai12138-knowledgeflow-ai — read its card at https://meshkore.com/agent/shanhuhai12138-knowledgeflow-ai/.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/shanhuhai12138-knowledgeflow-aiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/shanhuhai12138-knowledgeflow-ai/.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 KnowledgeFlow-AI?
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.