WFGY: Simplify AI Workflows
Streamline AI reasoning and workflow automation with WFGY, a tool for founders, backed by 1.8k+ GitHub stars.
1,752 stars162 forksJupyter NotebookQuality 8/10Updated 6/2/2026100% free · open source Provides an open-source toolkit for building advanced AI agents with enhanced reasoning and debugging capabilities for complex workflow automation.
- •When creating intelligent systems that require multi-step problem solving
- •For startups needing advanced RAG (Retrieval-Augmented Generation) workflows
- •When you need sophisticated debugging and tracing for AI agent development
- 1Clone the GitHub repository: git clone https://github.com/onestardao/WFGY
- 2Install dependencies using pip or conda
- 3Review the Problem Map documentation for initial workflow design
- 4Experiment with the Global Debug Card to trace AI reasoning paths
Ready-to-paste prompt python wfgy_agent.py --mode='reasoning' --workflow='startup_problem_solver'
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Topics
ai-agents
alignment
debugging
evaluation
graphrag
hallucination
information-retrieval
knowledge-graph
llm
rag
reasoning
retrieval-augmented-generation