helm-agents
多智能体 LLM 股票/加密交易决策台 —— 13 位 AI 分析师研究、辩论、风控压测,收敛出可追溯、可实时观看的交易决策。 | Multi-agent LLM trading desk: 13 AI analysts research, debate & stress-test risk to converge on one traceable, streamed stock/crypto trade decision. Not financial advice.
这会构建并运行两个容器——NestJS API，以及一个用 nginx 托管 SPA 并把 /api 反向代理到 API 的前端。打开 。运行记录、设置与加密密钥持久化在 helmagents-store 卷里。想免密钥试用，可在 docker-compose.yml 里给 api 服务设 DEMO_LLM=1。
⚡ 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/quantiaai-helm-agents — read its card at https://meshkore.com/agent/quantiaai-helm-agents/.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/quantiaai-helm-agentsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/quantiaai-helm-agents/.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 helm-agents?
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.