Here's a rewritten project description for Swarm Agency based on your concept and framework:

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🐝 Swarm Agency

Overview

Swarm Agency is an evolved concept where autonomous AI agents collaborate seamlessly within a dynamic ecosystem. Initially inspired by Arsenii Shatokhin’s (aka VRSEN) AI Agency automation effort, we’ve rebuilt the framework to allow you to effortlessly create your own swarm of specialized agents—each with unique roles, skills, and tools. This approach makes automating tasks through AI more intuitive by defining roles like a virtual assistant, developer, and CEO, making collaboration fluid across agents.

Whether you're looking to optimize business operations, manage a team of virtual assistants, or create complex automated workflows, Swarm Agency lets you configure agents that communicate and collaborate to get tasks done efficiently. Get started with a fully deployable, customizable AI agency swarm!

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Key Features

• Customizable Agent Roles: Tailor agents to specific roles like CEO, virtual assistant, or developer with complete functionality customization using the Assistants API.
• Full Control Over Prompts: Freedom to customize prompts without constraints, allowing full adaptability for complex tasks.
• Tool Creation: Build tools that integrate smoothly with your agents using Instructor for auto type-validation and easy interface setup.
• Efficient Communication: Built-in messaging system ensures seamless interaction between agents for optimal collaboration.
• State Management: Track and manage the state of your agents automatically with settings.json, ensuring smooth task execution and minimal downtime.
• Production-Ready: Designed to scale with your business needs and deploy in real-world environments.

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Installation

pip install -U agency-swarm

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Getting Started

1. Set Your OpenAI Key:

   from agency_swarm import set_openai_key
   set_openai_key("YOUR_API_KEY")

2. Create Custom Tools: Define custom tools with Instructor:

   from agency_swarm.tools import BaseTool
   from pydantic import Field
   
   class MyCustomTool(BaseTool):
       # Define fields and logic for your custom tool here
       example_field: str = Field(..., description="Description of the example field")
   
       def run(self):
           # Implement your tool's logic
           do_something(self.example_field)
           return "Result of MyCustomTool operation"

3. Define Agent Roles: Create specialized agents like CEO or developer, each with its set of instructions and tools.

   from agency_swarm import Agent
   
   ceo = Agent(name="CEO", description="Task manager and decision maker.")

4. Define Agency Communication: Set up how agents will communicate and collaborate across different roles.

   from agency_swarm import Agency
   agency = Agency([ceo, developer, assistant], shared_instructions='agency_manifesto.md')

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Future Enhancements

• Autonomous agency creation.
• Asynchronous communication.
• Inter-agency communication to create self-expanding systems.

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Contributing

For details on how to contribute to the Swarm Agency, check out our Contributing Guide.

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License

Swarm Agency is open-source and licensed under the MIT.

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Need Help?

For custom AI swarm setup, consult our Agents-as-a-Service subscription or schedule a consultation at Calendly.

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This version is designed to showcase the features and capabilities of the Swarm Agency with a clear emphasis on its role as an advanced, modular AI framework. It also highlights that this is a rebirth of an idea, integrating ease of customization, collaboration, and efficiency. Let me know if you'd like to refine it further! 😊