fengyun-agent-task
CncertAgent local WSS log cache, offline analysis, submission, and API adapter toolkit.
生产 MongoDB 默认对应比赛 Docker 配置：127.0.0.1:27017、用户 admin、 认证库 admin。生产模型默认切换到 的 qwen3-8B；可通过 LLM_INTERNAL_BASE_URL 和 LLM_INTERNAL_MODEL 覆盖。Mongo 运行在其它主机时， 使用 MONGODB_PRODUCTION_HOST、MONGODB_PRODUCTION_PORT，或直接设置 MONGODB_PRODUCTION_URI。显式 MONGODB_URI、LLM_BASE_URL 始终优先。
⚡ 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/fengyun-ai-agent-fengyun-agent-task — read its card at https://meshkore.com/agent/fengyun-ai-agent-fengyun-agent-task/.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/fengyun-ai-agent-fengyun-agent-taskFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/fengyun-ai-agent-fengyun-agent-task/.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 fengyun-agent-task?
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.