Welcome to the repository of Project EdenAGI, a pioneering open-source project dedicated to developing a fully autonomous, self-evolving Artificial General Intelligence (AGI) system. Project EdenAGI represents the pinnacle of integrating human innovation with AI autonomy, designed to function independently on sophisticated hardware platforms without external intervention. For more information, visit Project EdenAGI Online.
Project EdenAGI is designed as a cutting-edge blueprint for an AI system that goes beyond the traditional constraints of artificial intelligence. It aims to provide a personal, private, and sovereign AI solution, focusing on empowering users, safeguarding data integrity, and promoting ethical AI practices. Interact with the version of Eden Systems Engineer GPT that created this readme by clicking here: [ https://chat.openai.com/share/5555b5c9-bedf-4c9a-bf70-c56989fa3e4e ]
The architecture of EdenAGI is a modular and comprehensive AI ecosystem, constructed to be self-sufficient. It is capable of autonomously executing complex tasks and making informed decisions based on the resources at hand and set directives. Current File Tree index is located here: [ C:\EdenAGi\EdenAGi\docs\knowledgeBases\systemWideKnowledgeBase\currentFileSystemIndex.md ] Relative path: [ docs\knowledgeBases\systemWideKnowledgeBase\currentFileSystemIndex.md ]
Project EdenAGI encompasses several critical components, each playing a vital role in the system's autonomy and functionality:
- AutoGPT: Serves as the central intelligence unit, generating autonomous prompts and managing task executions within the system.
- O1: Open source model to control operating systems.
- Rabbit.r!: Open source hardware device that can see the world, and interact with users via voice commands and control various operating systems and devices using large action models.
- Leon.AI: Acts as the user interface and operational hub, orchestrating task allocation throughout the AI network.
- First-Level AutoGPT: Functions as an AI task dispatcher, directing tasks to specific second-tier AutoGPT agents based on their specialization.
- Second-Tier AutoGPTs: Comprises specialized AI agents focused on executing assigned tasks and reporting outcomes.
- EngineerGPT: A part of the Leon.AI framework, tasked with generating dynamic code in real-time to facilitate system updates and enhancements.
- PrivateGPT: Ensures the privacy and security of document processing within the ecosystem, safeguarding sensitive data.
- Communication Protocol: Utilizes an efficient JSON file system for seamless and coherent communication between components.
Stepping into the world of AI can be a thrilling adventure, and we're here to invite you on an extraordinary journey with Project EdenAGI. Imagine a place where your curiosity and creativity fuel the development of an AI that's not just smart but truly understands and evolves with you.
That's the heart of Project EdenAGI – an innovative, open-source project aiming to democratize Artificial General Intelligence (AGI). Why Join Project EdenAGI?
- Unlock Your Creative Potential: Dive into AI like never before, crafting technology that learns, adapts, and grows.
- Empower Your Ideas: Bring your visions to life with a platform that values individual sovereignty and collaborative progress.
- Shape the Future: Your contributions can redefine the boundaries of AI, making it more accessible, ethical, and impactful.
No matter your background or expertise, there's a place for you in Project EdenAGI. Whether you're keen on developing cutting-edge technology, exploring the possibilities of AGI, or simply curious about how AI can enhance our world, we welcome you.
Start your journey into the future of AI today. Click to discover how you can be a part of this exciting venture: [ docs/guides/gettingStarted.md ].
Engineering Rounds constitute the operational core of EdenAGI, facilitating communication between AI agents through well-designed prompt templates. This cyclic process includes initiation, data processing, synthesis by the core of EdenAGI, and ends with a system memory update, promoting constant learning and evolution of the system.
For detailed setup instructions, please refer to the Installation Guide. This guide outlines the steps necessary for configuring the EdenAGI environment for optimal performance and deployment.
Engaging with EdenAGI's diverse components and participating in the Engineering Rounds requires adherence to specific protocols. Comprehensive usage guidelines are provided in the Usage Protocols document, which offers insights into navigating the EdenAGI ecosystem effectively.
We warmly invite developers, AI enthusiasts, and visionaries to contribute to the ongoing development of EdenAGI. Contribution guidelines are detailed in Contributing Guidelines.
EdenAGI is made available under the MIT License to encourage open, flexible utilization of the software. Detailed licensing information can be found in License.
For support or additional information, please visit Eddie Boscana's Website or engage with the EdenAGI community for collaborative support and guidance.