longClaw
把单个 AI 助手升级为可扩展的多专家协作运行时， 带工业级记忆检索、会话管理和完整的开发者可观测性。
🧩 搭建可扩展的多代理系统 定义任意数量的专职代理（JOB / WORK / LEARN / ENGINEER / ...），通过 CTRL 控制平面统一路由和仲裁。每个代理只处理自己域内的任务，CTRL 负责最终裁决和输出——不会出现多个代理同时给出矛盾答案的情况。
⚡ 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/jinglong92-longclaw — read its card at https://meshkore.com/agent/jinglong92-longclaw/.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/jinglong92-longclawFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jinglong92-longclaw/.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 longClaw?
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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