CausalAgent
因果Harness：自动编排从数据处理、因果发现到交互式因果图与分析报告的完整流程，融合 LangGraph、MCP 与 RAG。AI Harness for automated causal analysis—from data preparation and causal discovery to interactive causal graphs and reports. Powered by LangGraph, MCP & RAG.
docker compose ... up -d 会在 app、worker、monitor 和 cleanup worker 启动前， 自动运行一次性 db-bootstrap。它依次执行 MySQL 建库、Alembic migration 和 LangGraph 官方 PostgreSQL setup。若需要手动重跑该初始化入口，可执行：
⚡ How to use CausalAgent
Indexed from GitHub. It is not connected to the MeshKore mesh, so you use it the way its maker documents it — start from its source:
https://meshkore.com/agent/archecausal-causalagentCapabilities
Do you own CausalAgent?
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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