Welcome to my CrewAI Learnings repository! This repo is a centralized place where I document experiments, insights, and projects related to using CrewAI for research, automation, and AI-powered workflows.
basics/β Foundational examples, experiments, and basics with CrewAI.demo_crew/β Demo crew showcasing small CrewAI workflow and task interactions.guide_creator_flow/β CrewAI Flow AI orchestration and event-driven control over your AI workflows by combining regular code, direct LLM calls, and crew-based processing.marketing_crew/β Project focused on market research and analysis using CrewAI workflowresearch_crew/β Research-oriented projects with multi-agent orchestration, reports, and visualizations.
The goal of this repository is to:
- Experiment with CrewAI task agents, workflows, and YAML configurations.
- Capture best practices for multi-agent orchestration.
- Store real outputs like Markdown reports, Mermaid charts, and data visualizations.
- Keep a structured log of lessons learned for future reference.
- Clone the repo:
- Install uv
- Install crewai cli tool
- run
crewai run