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GenWorlds, developed by Yeager.ai, is an AI development framework for multi-agent systems. It allows users to create interactive environments where autonomous AI agents coordinate to achieve real-world objectives. It serves as an open-source framework for building reliable multi-agent systems and developing Generative AI applications.
GenWorlds enables users to design customizable environments featuring AI agents, objects, goals, and memory systems. Users can utilize pre-built memories and tools, define agent cognitive processes, and select coordination protocols for task execution. The platform also supports integration with third-party GenWorlds.
GenWorlds is an open-source framework for building reliable multi-agent systems, enabling you to develop interactive environments populated by autonomous AI agents.
Key features include customizable environments, a scalable architecture, plug-and-play components, configurable cognitive processes, coordination protocols, and support for third-party GenWorld integration.
GenWorlds uses Qdrant as a vector database and similarity search engine to provide long-term memory, allowing AI agents to leverage specific data sources and optimize LLM context windows.
Free plan available.
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