Genworlds
GenWorlds is an open-source framework for building reliable multi-agent systems.
Drawing inspiration from the seminal research paper "Generative Agents: Interactive Simulacra of Human Behavior" by Stanford and Google researchers, GenWorlds provides a platform for creating flexible, scalable, and interactive environments where AI agents can exist, communicate asynchronously, interact with diverse objects, and form new memories.
Agents can also be pre-loaded with a series of memories that give them personality and helps them become subject-matter experts. This feature allows for nuanced and sophisticated interactions and behaviors. These agents communicate with the world through a WebSocket server, promoting ease of UI construction and future scalability.
The current version of GenWorlds is powered by OpenAI's GPT4, Langchain, Chroma, and was inspired by AutoGPT.
🚀 Key Features
🌐 Customizable Interactive Environments: Design unique GenWorld environments, tailored to your project's needs, filled with interactive objects and potential actions for your agents.
🎯 Goal-Oriented Generative Autonomous Agents: Utilize AI agents powered by Langchain that are driven by specific objectives and can be easily extended and programmed to simulate complex behaviors and solve intricate problems.
🧩 Shared Objects: Populate your world with shared objects, creating opportunities for your agents to interact with their environment and achieve their goals.
💡 Dynamic Memory Management: Equip your agents with the ability to store, recall, and learn from past experiences, enhancing their decision-making and interaction capabilities.
⚡ Scalability: Benefit from threading and WebSocket communication for real-time interaction between agents, ensuring the platform can easily scale up as your needs grow.