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The RL bridge for LLM-based agent applications, providing a simple and flexible reinforcement learning framework to optimize agent performance.
The RL bridge for LLM-based agent applications, providing a simple and flexible reinforcement learning framework to optimize agent performance.
An open-source multi-agent simulation platform where multiple LLM-powered agents collaborate on complex tasks in shared environments, with customizable roles, memory systems, and environment interaction for studying multi-agent collaboration.
DeepResearchAgent is a hierarchical multi-agent system designed for deep research tasks and general-purpose problem solving, using a top-level planning agent to coordinate specialized sub-agents for automated task decomposition and efficient cross-domain execution.
AG2 (formerly AutoGen) is an open-source AgentOS providing a multi-agent conversation framework with flexible agent orchestration, tool integration, and distributed collaboration for building complex multi-agent systems.
ChatArena is a multi-agent language game environment for LLMs, designed to develop and evaluate communication and collaboration capabilities of AI agents across diverse game scenarios.