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
Copy the install, test the workflow, then decide if it earns a permanent slot.
Strong idea surface, weaker maintenance signal. Steal the pattern before you commit.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Reasonable to try, but it will take more than a quick skim to get real signal.
GitHub health unknown. no security policy. Archived repo plus maintenance drag means copy patterns, not the whole tool.
AI Agent
Universal
Model
Multiple
Build Time
Instant
Fastest way to find out if CausalAgent belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/Heyflyingpig/CausalAgent ~/.claude/agents/causalagentRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/causalagentNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ causalagent/ ← installs here └─ settings.json
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