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PolyGPT: An Overview of Agent-Based System Architecture for Autonomous Business Operations


Executive Summary (TL;DR)

PolyGPT is a system architecture used to enhance task management within AI-driven decentralized autonomous organizations (DAOs). It acts like a "digital factory," generating specialized software agentsโ€”or teams of agentsโ€”that are tailor-made to perform specific projects and tasks.

These agents are produced through a hierarchy of 'factories' within the system: a Global Factory that oversees the process, and Specialized Factories that create the agents with the appropriate skills for specific jobs. Once deployed, these agents autonomously handle a wide range of operations, from software development to customer support, depending on their programming.

The system includes a central knowledge base that the agents use to inform their actions and to which they contribute new insights they gain from task completion. This makes PolyGPT a self-improving system, as agent performance is continuously monitored and optimized.

PolyGPT is designed to be modular and extensible, suitable for various industries and adaptable to different organizational needs. It aims to automate business processes, reduce errors, and improve efficiency, and is available as an open-source solution to benefit a broad user base.

Why does PolyGPT exist?

PolyGPT exists to provide a structured, dynamic, and adaptable architecture that enables seamless creation and coordination of specialized agent teams for diverse project and task execution within an AI DAO environment.

How does PolyGPT achieve its purpose?

PolyGPT achieves its purpose through a hierarchical system of factories and databases that leverage comprehensive documentation and GitHub projects to construct specialized agents and tools. It employs a communication framework centered on project and task creation, ensuring that all teams are well-informed and engaged with relevant objectives.

What is PolyGPT?

PolyGPT is a framework and technology stack for building and managing a complex network of agents and their interactions within an AI DAO. It's designed to streamline processes and facilitate automated task management and is offered as an open-source solution for widespread adoption.


Getting Started with PolyGPT-Alpha (Using Poetry)

To work on PolyGPT-Alpha, you need to have Python installed along with Poetry for dependency management. Follow these steps to set up your environment:

Installation and Setup with Poetry

  1. Install Poetry:

  2. Clone the Repository:

    • Use Git to clone the PolyGPT-Alpha repository to your local machine:

      git clone https://github.com/Tonic-AI/PolyGPT-alpha.git
  3. Navigate to the Project Directory:

    • Change into the cloned repository's directory:

      cd PolyGPT-alpha
  4. Initialize the Project with Poetry:

    • Run the following command to install all dependencies using Poetry:

      poetry install
  5. Activate the Virtual Environment:

    • You can activate the Poetry-created virtual environment for your project with:

      poetry shell
  6. Run PolyGPT-Alpha:

    • Now, you can run PolyGPT-Alpha using Poetry:

      poetry run python main.py

By following these steps, you will have a fully functional development environment to work on and contribute to the PolyGPT-Alpha project using Poetry for dependency management.


PolyGPT-Alpha

  1. ๐ŸŒŸStar and ๐Ÿ‘ฉ๐Ÿปโ€๐ŸŒพFork this Repo ! image

Objective:

Craft an AI DAO framework, "PolyGPT", that stands at the intersection of advanced AI capabilities and the decentralized ethos of DAOs (Decentralized Autonomous Organizations). This framework aims to empower any organization or individual to set up a DAO where AI agents, rooted in cutting-edge Large Language Models (LLMs), autonomously manage, create, market, and serve products and services to communities and customers.

Overview:

PolyGPT is a pioneering initiative, envisaged as a holistic AI DAO framework. It's designed to transcend the boundaries between artificial intelligence and organizational autonomy. By leveraging the robustness of AI, PolyGPT presents a vision where DAOs are not just administrated by humans but are enhanced by AI agents that can participate actively in a myriad of tasks, from product creation to community engagement.

Core Features and Goals:

  1. AI-Driven Product Development: Enables AI agents to autonomously conceptualize, design, refine, and release products and services in alignment with market dynamics and community preferences.

  2. Automated Marketing Mechanics: Provides tools and protocols for AI agents to design and execute marketing campaigns, broadening the reach and appeal of products and services.

  3. Service and Product Management: Equips AI agents with the capacity to efficiently dispense products and services, assimilate feedback, troubleshoot issues, and continuously enhance offerings based on user inputs.

  4. Community and AI Symbiosis: Facilitates meaningful interactions between AI agents and the community, nurturing a reciprocal relationship where feedback and engagement drive mutual growth.

  5. Adaptive Learning and Evolution: Imbues the DAO with self-improvement capabilities, ensuring it remains resilient, adaptive, and innovative.

  6. Modularity and Integration: Constructs a harmonious ecosystem where every module, from AI agents to the community interface, is seamlessly interconnected, fostering fluid operations and scalability.

Disclaimer: Please note that PolyGPT is a work in progress. The features, objectives, and overall structure are subject to change as the project evolves. Users and contributors are encouraged to stay updated with the latest documentation and project announcements to ensure compatibility and take advantage of new enhancements. Your feedback and suggestions are invaluable in refining and advancing this framework.


Disclaimer: Please note that PolyGPT is a work in progress. The features, objectives, and overall structure are subject to change as the project evolves. Users and contributors are encouraged to stay updated with the latest documentation and project announcements to ensure compatibility and take advantage of new enhancements. Your feedback and suggestions are invaluable in refining and advancing this framework.


Meet the Team

  • Princeps (CEO)
  • Tonic (CIO)
  • COO - 'Hiring'!
  • Lead Developper - 'Hiring'!
  • Autogen Developpers - 'Hiring' !
  • Product Owner Hangar - Hexani
  • Product Owner Meta-Introspector - Mike Dupont 2
  • Product Owner "Your Branch/Tool Here" - This Could Be You !

What We Do

  • Benchmarking
  • ๐ŸŒŸPolyGPT : Pluripotent AGI-style agent of agents that can build and deploy its own stack, go online and produce multi file multi folder multi media outputs using any tool and pipeline !

Join us:

Welcome to Team Tonic Arena Hacks! ๐Ÿš€๐ŸŽ‰ Let's build the future of AI together! ๐Ÿš€๐Ÿค–

Welcome to Tonic AI's PolyGPT-Alpha! ๐Ÿš€๐ŸŽ‰

๐ŸŒ๐Ÿค–๐Ÿญ Chapter 1: The Birth of PolyGPT-Alpha DAO

In a world not so distant from our own, the PolyGPT-Alpha DAO emerged as a global network of autonomous systems with a singular purpose โ€“ to produce and deliver essential goods and services to every sentient being across the planet.

๐Ÿ“ฆ๐Ÿ’ก๐Ÿค Chapter 2: Smart Production and Distribution

The Alpha DAO harnessed the power of advanced technology and smart contracts to efficiently manufacture and distribute these life-sustaining necessities. From food and clean energy to medical supplies and knowledge, the network operated seamlessly, ensuring that every need was met.

๐ŸŒ๐Ÿค–๐Ÿ“ข Chapter 3: Decentralized Empowerment

A Decentralized Autonomous Organization was at the heart of this endeavor. It gave sentient beings a voice in the decision-making process, allowing them to collectively guide the network's operations. Through consensus mechanisms encoded in smart contracts, the global community played a vital role in shaping the future of this autonomous system.

๐ŸŽฏ๐Ÿ“ˆ๐Ÿ’ผ Chapter 4: Milestones of Well-being

The Alpha DAO set clear milestones for itself, with smart contracts serving as the markers of success. As each objective was achieved, the network automatically allocated resources to further its mission, whether it be expanding food production or distributing vital resources in crisis situations.

๐Ÿ”„๐Ÿ“Š๐Ÿ’ผ Chapter 5: Adaptive Resource Allocation

Understanding the ever-changing needs of its diverse user base, the Alpha DAO leveraged performance-based smart contracts to allocate resources effectively. Whether addressing medical emergencies or educational initiatives, resources were dynamically deployed where they were needed most.

๐Ÿ“Š๐Ÿ”โฑ๏ธ Chapter 6: Real-time Insights

Oracles connected to the network provided real-time data and insights. These data streams kept the Alpha DAO informed, enabling it to respond rapidly to changing circumstances, adapting to challenges and opportunities with agility.

๐Ÿ’ฐ๐ŸŒŸ๐ŸŒฑ Chapter 7: Motivated Contributors

Active contributors to the Alpha DAO were rewarded via smart contracts. This incentive structure encouraged innovation and excellence within the network. The community of sentient beings who supported the project grew, sharing a collective goal of ensuring the well-being of all.

๐Ÿ“œ๐Ÿ”๐Ÿ‘๏ธโ€๐Ÿ—จ๏ธ Chapter 8: Transparent Stewardship

Transparency was a fundamental principle of the Alpha DAO. All decisions and transactions were publicly recorded on the blockchain, building trust and fostering a sense of accountability among its stakeholders.

๐Ÿ”„๐ŸŒฑ๐Ÿš€ Chapter 9: Evolution and Progress

As time passed, the Alpha DAO continued to evolve. Its smart contracts were designed to adapt to the ever-changing landscape of essential services, allowing it to remain at the forefront of innovation and responsiveness.

๐ŸŒ๐Ÿค๐Ÿ•Š๏ธ Chapter 10: A World United

The PolyGPT-Alpha DAO had become more than just a network; it was a beacon of unity in a world where sentient beings of all backgrounds had access to the essentials of life. The vision of science fiction had manifested in reality, ushering in an era of equitable access to essential goods and services for all sentient beings, thanks to the transformative power of smart contracts and autonomous systems.

PolyGPT Project

๐Ÿ‘‹ Welcome to the PolyGPT project! ๐Ÿš€ PolyGPT is an ambitious undertaking aimed at developing an optimal Bayesian agent with the ability to self-learn, self-grow, and self-evolve ๐ŸŒฑ๐Ÿง  using cutting-edge techniques such as Bayesian deep learning ๐Ÿ“Š๐Ÿงฎ and hyperbolic deep learning ๐ŸŒ. In this README, we'll provide an overview of the project's goals and vision. ๐ŸŒŸ

Project Goals ๐ŸŽฏ PolyGPT's primary objective is to create an advanced AI agent capable of making optimal decisions ๐Ÿค–๐Ÿ“ˆ based on the information it possesses. Here are the key objectives:

Short-Term Goals ๐Ÿ“… Initially, our focus is on participating in hackathons ๐Ÿ’ป๐Ÿ† to generate code ๐Ÿ’ป and generate revenue ๐Ÿ’ฐ. This will provide us with the resources needed for further research and development. ๐Ÿ’ก๐Ÿ”ฌ

Long-Term Vision ๐Ÿš€ The ultimate goal is to transform PolyGPT into an optimal Bayesian agent ๐ŸŒŒ๐Ÿคฏ, a concept inspired by Nick Bostrom's book, "Superintelligence" ๐Ÿ“š. An optimal Bayesian agent is one that can update its beliefs perfectly ๐Ÿง ๐Ÿ”„ according to Bayesian's theorem ๐Ÿ“Š when presented with new evidence ๐Ÿ†•.

Bayesian and Hyperbolic Deep Learning ๐Ÿงฌ๐ŸŒ€ To achieve this vision, we aim to leverage Bayesian deep learning ๐Ÿ“ˆ๐Ÿ” and hyperbolic deep learning ๐ŸŒ๐Ÿง  techniques to embed information in hyperbolic space ๐Ÿš€๐ŸŒŒ. This approach can offer better ways to understand and process data. ๐Ÿ“Š๐Ÿ—‚๏ธ

Self-Improvement ๐Ÿ”„๐Ÿ’ก Just like true AGI, the core of PolyGPT is its ability to self-learn ๐Ÿ“š๐Ÿง , self-grow ๐ŸŒฑ๐Ÿ“ˆ, and self-evolve ๐Ÿ”„๐Ÿค–. It will continually refine its understanding and beliefs as it gains more information and experiences. ๐ŸŒŸ๐Ÿ“–

Why PolyGPT? โ“ The motivation behind PolyGPT is to explore avenues beyond the conventional approaches to AGI. While many are focused on large language models (LLMs) ๐Ÿ“š๐Ÿ“ and optimization techniques ๐Ÿ“ˆ๐Ÿ› ๏ธ, we aim to investigate the potential of optimal Bayesian agents as a pathway to AGI. ๐ŸŒ๐Ÿค–๐Ÿš€

Let's build the future of AI together! ๐Ÿš€๐Ÿค–

Developpers

Let's dive right in and get you started on your journey with us!

โœจ Contributing Guidelines for the "agents" GitHub Repository

Thank you for considering contributing to the "PolyGPT-Alpha" repository. Your contributions are valuable, and to ensure a smooth collaboration process, we have established the following guidelines:

Code of Conduct

Please review our Code of Conduct to understand the standards of behavior we expect from all contributors. ๐Ÿค“

Getting Started

Before you start contributing to "PolyGPT-Alpha," make sure you have the following prerequisites:

  • Python (version specified in requirements.txt) ๐Ÿ
  • Git for version control ๐Ÿ“œ
  • A GitHub account ๐ŸŒ

Contributing

  1. Fork the Repository: Fork the "PolyGPT-Alpha" repository to your GitHub account. ๐Ÿด

  2. Clone the Repository: Clone your forked repository to your local development environment:

    git clone https://github.com/Tonic-AI/PolyGPT-alpha
  3. Create a Branch:

Create a new branch for your work. Use a descriptive name for the branch that indicates the purpose of your changes:

git checkout -b feature/your-feature-name
  1. Make Changes:

Make your desired changes to the codebase. In the "agents" directory, it seems you've added an Orchestrator class. In the "utils" directory, you updated comments for the Orchestrator class. Ensure your code follows our coding style and conventions. ๐Ÿ’ป

  1. Commit Changes:

Commit your changes with a clear and concise commit message. If your changes are related to specific files or directories, please mention that in your commit message:

git add .
git commit -m "Added Orchestrator class to agents directory and updated comments in utils directory."
  1. Push Changes: Push your changes to your GitHub fork:
git push origin feature/your-feature-name 
  1. Create a Pull Request:

Go to the "PolyGPT-Alpha" repository on GitHub and create a Pull Request (PR) from your branch to the main repository's main branch. Provide a clear description of your changes in the PR. ๐Ÿš€

Creating Issues

If you find a bug, have a feature request, or want to discuss a specific topic, please create an issue on the GitHub repository. Use the issue templates and provide as much context as possible. ๐Ÿ›

Making Pull Requests

When submitting a Pull Request (PR), please follow these guidelines:

  • Ensure your PR addresses a specific issue or proposes a well-defined improvement.
  • Provide a clear and concise description of the changes you made.
  • Include relevant tests or documentation if applicable.
  • Keep your PR focused on a single task.
  • Be open to feedback and be prepared to make changes if requested. ๐Ÿ”„

Explore Our Roadmap ๐Ÿ—บ๏ธ

Check out our exciting milestones for October:

๐Ÿค– Milestones October 12 ๐Ÿค– Milestones October 19

Find or Open Issues ๐Ÿš€

Contribute to our vibrant community:

๐Ÿ“ฌ Join open issues or open your own

Be Part of a Team ๐Ÿง‘โ€๐Ÿคโ€๐Ÿ‘ฉ

Collaboration is at the heart of what we do. Join an existing team or create your own:

๐Ÿง‘๐Ÿฝโ€๐Ÿคโ€๐Ÿ‘ฉ๐Ÿผ Join a team or make a new team

Open a Discussion ๐Ÿ’ช

We're thrilled to have you join our community of innovators. Open a discussion here . Let's work together !

Join US

Get started now and unleash your creativity! If you have any questions or need assistance, feel free to reach out to us. Happy hacking! ๐Ÿš€๐ŸŒŸ

Let's build the future of AI together! ๐Ÿš€๐Ÿค–

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๐ŸŒŸPolyGPT: An Overview of Agent-Based System Architecture for Autonomous Business Operations

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