FLOWS with Content Research Crew

Welcome to the Content Research Crew project, powered by crewAI. This project implements a multi-agent AI system that creates comprehensive research guides on any topic. The system leverages crewAI's powerful framework to coordinate multiple AI agents that collaborate on researching, writing, and reviewing content.

System Architecture

The system operates through the following key components:

1. Guide Creator Flow: Manages the overall content creation process
2. Content Research Crew: Specialized agents working together to:
   • Research and gather information
   • Write comprehensive content
   • Review and improve quality
3. Output Generation: Produces structured markdown guides with:
   • Detailed sections
   • Examples and practical applications
   • Citations and references

Installation

Ensure you have Python >=3.10 <3.13 installed. This project uses UV for dependency management.

1. Install UV:

pip install uv

2. Clone and setup the project:

git clone <repository-url>
cd content-research-crew
crewai install

3. Configure your environment:

• Copy .env.example to .env
• Add your OPENAI_API_KEY to .env

Configuration

Customize the system by modifying:

• src/researcher_content/config/agents.yaml: Define agent roles and capabilities
• src/researcher_content/config/tasks.yaml: Configure research and writing tasks
• src/researcher_content/crew.py: Implement custom logic and tools
• src/researcher_content/main.py: Adjust input handling and flow control

Usage

1. Run the content creation flow:

crewai run

2. View the generated content:

• Guide outline: output/guide_outline.json
• Complete guide: output/complete_guide.md

3. Visualize the flow:

crewai plot

This generates an interactive flow visualization at guide_creator_flow.html

Example Output

The system generates comprehensive guides with:

• Detailed introduction and context
• Multiple content sections with examples
• Practical applications and exercises
• Professional formatting in Markdown

Development

To extend or modify the system:

1. Add new agent types in config/agents.yaml
2. Create custom tasks in config/tasks.yaml
3. Implement new tools in src/researcher_content/tools/
4. Modify the flow logic in main.py

Support

For assistance:

• Documentation
• GitHub Issues
• Discord Community
• Documentation Chat

License

MIT License