Hello (Gen)World: Building Multi-Agent Systems with GenWorlds

GenWorlds is an event-based communication framework designed for creating sophisticated multi-agent systems. It empowers developers to build complex, interactive AI applications by providing a robust and scalable architecture for coordinating multiple AI agents.

Getting Started

GenWorlds is built around the concept of 'GenWorlds,' customizable environments where AI agents interact and collaborate. These environments are highly configurable, allowing developers to define every aspect, from the agents' personalities and memories to their goals and the objects within the world.

Key Features

• Customizable Environments: Design your AI world, including agents, objects, goals, and memories.
• Scalable Architecture: Handles various workloads efficiently, scaling from simple interactions to complex, multi-agent systems.
• Plug-n-Play Components: Utilize a library of pre-built memories and tools for easy integration into your GenWorlds.
• Cognitive Process Selection: Choose from diverse cognitive processes (Tree of Thoughts, Chain of Thoughts, AutoGPT) to tailor agent thinking styles.
• Coordination Protocols: Implement various coordination methods (token-bearer, serialized processing) for efficient task execution.
• 3rd Party Integration: Seamlessly connect existing agents and worlds to expand your GenWorld's capabilities.

Use Case Highlight: All-In RoundTable

Imagine a discussion with history's greatest minds! GenWorlds' RoundTable application brings this to life. It's not just a ChatGPT wrapper; it's a team of independent AI agents, each with unique personalities, memories, and expertise, collaborating to answer complex questions and generate creative ideas.

Community and Collaboration

GenWorlds fosters a vibrant community of developers, AI enthusiasts, and innovators. We encourage collaboration, knowledge sharing, and mutual growth.

Technology Stack

GenWorlds leverages LangChain for agent coordination, showcasing a paradigm shift in generative AI. It integrates with Qdrant, a vector database, to optimize LLM context windows, using Qdrant for long-term memory and LLMs for short-term memory. This allows for the creation of robust GenAI applications capable of handling extensive datasets and complex tasks.

Getting Involved

• Quick Tutorial: Learn the basics quickly.
• Try GenWorlds: Experience the platform firsthand.
• Join our Discord: Connect with the community.
• Explore Tools and Use Cases: Discover the possibilities.
• Give us a Star on GitHub: Support our development efforts.

Disclaimer

GenWorlds is an early-stage product under active development. We appreciate your feedback and reports of any issues or bugs.