🚣 Crewlit

Crewlit is an open-source Streamlit application that brings the power of CrewAI to your browser. It provides a user-friendly interface for creating, managing, and executing AI agent crews, making multi-agent AI systems accessible to everyone.

🌟 Features

• 🤖 AI Agent Management: Create and customize AI agents with unique roles, backstories, and goals.
• 📋 Task Definition: Craft specific tasks for your AI agents to accomplish.
• 👥 Crew Assembly: Combine agents and tasks to form powerful AI crews.
• 🛠️ Tool Integration: Enhance your agents' capabilities with various configurable tools.
• ⚙️ Configuration Management: Set up global settings, including API keys and default parameters.
• 📊 Execution Dashboard: Launch and monitor your AI crews' progress in real-time.
• 🖱️ User-Friendly Interface: Navigate effortlessly with our intuitive Streamlit-based UI.

🚀 Getting Started

Prerequisites

• Python 3.12 or higher
• Poetry for dependency management

Installation

1. Clone the repository:

git clone https://github.com/alexnodeland/crewlit.git
cd crewlit

2. Run the application:

   a. Using the provided script (recommended):

   ./scripts/run.sh

   This script will:

   • Check if Poetry is installed and install it if necessary
   • Install or update project dependencies
   • Run the Streamlit app

   b. Alternatively, if you prefer manual setup:

   poetry install && poetry run app

   This command installs dependencies and runs the app using Poetry.

3. Open your browser and navigate to http://localhost:8501 to start using Crewlit!

📖 Usage

Refer to the Crewlit Guide for detailed instructions on using the application.

🔗 Related Projects

• CrewAI: The underlying framework for multi-agent AI systems.
• Streamlit: The web app framework used for the user interface.

🗺️ Roadmap

✅ Completed:

• UI for creating and managing tasks, agents, and crews
• Crew execution interface

🚧 In Progress:

• Multi-tenant configuration support
• Enhanced output handling (default directory, zip download, incremental display)
• Comprehensive in-app help system

🔮 Future Plans:

• Docker containerization
• Live demo deployment
• Expanded crew, agent, and task configuration options
• Single task execution support

We're constantly evolving! For feature requests or suggestions, please open an issue.

📄 License

Crewlit is open-source software licensed under the MIT license. See the LICENSE file for more details.

🙏 Acknowledgements

I'd like to thank the creators of CrewAI (@joaomdmoura), Streamlit, and all the other open-source projects that make Crewlit possible.

🤝 Support

If you encounter any issues or have questions, please open an issue on the GitHub repository.

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Made with ❤️ by @alexnodeland