ChatArena
A framework for creating multi-agent language game environments for AI models.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for ChatArena, derived from its capabilities.
AIVSS 8.2 · High
View MAESTRO 7-layer threat model →Overview
ChatArena is a Python-based framework designed to facilitate the creation and testing of multi-agent systems using large language models (LLMs). It provides a flexible environment where agents interact through games or conversational scenarios. Developers can define custom environments, games, and interactions, making it suitable for AI research in autonomous systems, social interaction, and language model benchmarking. The framework is equipped with a web-based UI and CLI for ease of use.
Key features
- Multi-Agent Game Environments, Customizable Scenarios, Integration with LLMs, Web UI and CLI, Research and Benchmarking Focus.
Use cases
- AI Research, Multi-Agent Communication Testing, Autonomous Systems Development, Social Interaction Modeling, AI Training Simulations.
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