Shypd.aiThe largest open index of AI toolsAgentGym is an open-source AI Agents & Automation tool that provides a framework for evolving Large Language Model-based agents across diverse environments. It includes a high-quality trajectory set and a benchmark suite for evaluating and developing LLM-based agents.
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AgentGym is an open-source framework designed to facilitate the evaluation and development of general-purpose Large Language Model (LLM)-based agents. It features a variety of interactive environments and tasks, all presented in a unified ReAct format, supporting real-time feedback and concurrency for scalability. The suite includes 14 distinct environments covering web navigation, text games, house-holding tasks, digital games, embodied tasks, and tool-using scenarios. AgentGym also provides a high-quality trajectory set, AgentTraj-L, and a benchmark suite, AgentEval, to aid in agent assessment. The platform's architecture decouples environments into encapsulated HTTP services, allowing developers to easily integrate new environments. It also introduces AgentGym-RL for training LLM agents through multi-turn reinforcement learning, enabling agents to learn directly from interactive environments.
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