AgentVerse

It is a framework designed to facilitate the deployment of multiple large language model (LLM)-based agents in various applications, primarily offering two frameworks: task-solving and simulation.

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AgentVerse AI Agent Competitors

It is a framework designed to facilitate the deployment of multiple large language model (LLM)-based agents in various applications, primarily offering two frameworks: task-solving and simulation. AgentVerse enables users to create multi-agent environments for solving complex tasks or simulating scenarios, such as NLP classrooms or the Prisoner’s Dilemma. It supports integration with OpenAI API keys, Azure OpenAI services, and local models like LLaMA and Vicuna. Users can deploy agents in environments like Minecraft, software design, database administration, and interactive games. The framework also supports tool usage, such as web browsers and Jupyter notebooks, for enhanced problem-solving. AgentVerse was introduced in NVIDIA’s blog and its paper was accepted at ICLR 2024. It is open-source, available on Hugging Face, and encourages community contributions through code development, documentation, and feedback. The project is led by Weize Chen and Yusheng Su, with active engagement on platforms like Twitter, Discord, and GitHub.

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