WhaleBot
Self-hosted, Docker Compose based AI agent orchestration: ReAct runtime, multi-adapter chat (Telegram / web), skills, memory with encrypted secrets, model benchmarking, and distributed userdocker work nodes.
根目录 .env 主要承载 Compose 与通用变量；不必在根文件里配置模型 API 密钥（模型侧在 llm-openai 数据卷 / WebUI 中配置，见 AGENT.md）。
⚡ 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/whalemesh-whalebot — read its card at https://meshkore.com/agent/whalemesh-whalebot/.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/whalemesh-whalebotFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/whalemesh-whalebot/.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 WhaleBot?
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.