by Heyflyingpig · MCP Server · ★ 31
简体中文 | English CausalAgent 新一代因果分析智能体 只需上传你的数据集,Causal-Agent 就能以对话的方式,自动帮你选用因果分析算法,并在生成可交互的对话面板和专业的分析报告。 [!IMPORTANT] 项目开发中 目前 CausalAgent 正在进行核心架构升级,我们正在努力完善功能,请点击右上角 Star ⭐ 关注后续更新! 目录 目录 WHAT IS CausalAgent WHY CausalAgent 技术栈 展示 核心功能 Agent 总览 预处理 因果分析(MCP) 知识库(RAG) 后处理 报告生成 快速开始 | Quick Start Docker部署 数据库生产化配置 windows部署 贡献 Star 趋势 项目结构 更新日志 WHAT IS CausalAgent 新一代因果分析智能体: CausalAge
| Stars | 31 |
| Forks | 6 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 64.6884758483964/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-26 |
| Created | 2025-05-08 |
| Platforms | mcp, python |
| Est. Tokens | ~479k |
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CausalAgent is 这是一个由LangGraph协议主导的因果分析Muti-Agent,结合MCP,RAG等多种工具进行辅助进行因果分析,提供给用户一份完善的因果分析的分析报告和因果图. It is categorized as a MCP Server with 31 GitHub stars.
CausalAgent is primarily written in Python. It covers topics such as agent, ai-agent, causal-inference.
You can find installation instructions and usage details in the CausalAgent GitHub repository at github.com/Heyflyingpig/CausalAgent. The project has 31 stars and 6 forks, indicating an active community.