ai-cloud-station
对标大厂内部研发环境建设，面向小型创业团队的云端 IDE 标准环境。 预置 VSCode 在线版与 Claude Code、Gemini、Codex 等 AI 编程工具。 专为弱网、出行、休眠与长时间 Agent 运行场景设计。 保持熟悉体验，实现持续在线的开发协作。
Q6：如何使用 Python 环境？ A：容器使用系统级 Python 3.12，python 命令已指向 python3。预装了 pip、poetry 和 uv 包管理器，支持虚拟环境创建。
⚡ 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/shareai-lab-ai-cloud-station — read its card at https://meshkore.com/agent/shareai-lab-ai-cloud-station/.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.
https://meshkore.com/agent/shareai-lab-ai-cloud-stationFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/shareai-lab-ai-cloud-station/.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
Do you own ai-cloud-station?
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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