Agentarium is an open-source Python framework for creating and managing simulations populated with AI-powered agents. It targets developers and researchers building complex, interactive AI-driven environments, enabling agents to act, learn, and evolve autonomously.

How It Works

Agentarium orchestrates multiple AI agents, allowing them to communicate and make decisions based on their context and memory. It integrates with AI providers via aisuite for LLM capabilities and supports customizable actions, enabling agents to perform specific tasks beyond simple conversation. A checkpoint system allows for saving and restoring agent states and interaction histories, promoting reproducibility.

Quick Start & Requirements

• Install via pip: pip install agentarium
• Requires Python 3.10+.
• LLM provider configuration (e.g., OpenAI API key) is necessary for agent functionality.
• Documentation: https://github.com/Thytu/Agentarium#documentation
• Examples: https://github.com/Thytu/Agentarium/tree/main/examples

Highlighted Details

• Advanced agent management with distinct roles and capabilities.
• Autonomous decision-making based on context and memory.
• Checkpoint system for saving and restoring agent states.
• Customizable actions and seamless AI integration via aisuite.

Maintenance & Community

• Contributions are welcome via pull requests.
• Community links are not explicitly provided in the README.

Licensing & Compatibility

• Licensed under Apache 2.0.
• Permissive license suitable for commercial use and integration into closed-source projects.

Limitations & Caveats

The framework's performance and scalability depend heavily on the underlying AI provider and the complexity of the simulation. Specific hardware requirements for running complex simulations are not detailed.