CausalAgent

About CausalAgent

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

agent ai-agent causal-inference langgraph llm mcp multi-agent rag

Quick Facts

Stars	37
Forks	6
Language	Python
Category	MCP Server
Quality Score	34.2/100
Open Issues	1
Last Updated	2026-05-20
Created	2025-05-08
Platforms	mcp, python
Est. Tokens	~475k

Compatible Skills

These tools work well together with CausalAgent for enhanced workflows:

recursive-improve — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
llm-agents-interview — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (55%)
stata-skill — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (55%)
openclaw-qa — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (55%)
LiteMultiAgent — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)

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Frequently Asked Questions

What is CausalAgent?

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 37 GitHub stars.

What programming language is CausalAgent written in?

CausalAgent is primarily written in Python. It covers topics such as agent, ai-agent, causal-inference.

How do I install or use CausalAgent?

You can find installation instructions and usage details in the CausalAgent GitHub repository at github.com/Heyflyingpig/CausalAgent. The project has 37 stars and 6 forks, indicating an active community.

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