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.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
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 and capabilities
- 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.