MSZLU-AI
by mszlu521 · indexed from github
现代化的AI驱动知识管理与智能体工作流平台，集成了大语言模型(LLM)、Skills、向量数据库、智能体(Agents)、工具集成，MCP，A2A协议等功能。该平台旨在帮助个人和团队高效地组织、存储、检索和利用知识资产，同时通过可定制的工作流自动化复杂任务。
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 · 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/mszlu521-mszlu-ai — read its card at https://meshkore.com/agent/mszlu521-mszlu-ai/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, 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/mszlu521-mszlu-aiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/mszlu521-mszlu-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
llm
Do you own MSZLU-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.