Multi-Agent-AI-Dynamic-Interaction offers a flexible environment to design, configure, and run systems composed of multiple autonomous AI agents. Each agent can be assigned specific roles, objectives, and communication protocols. The framework manages message passing, conversation context, and sequential or parallel interactions. It supports integration with OpenAI GPT, other LLM APIs, and custom modules. Users define scenarios via YAML or Python scripts, specifying agent details, workflow steps, and stopping criteria. The system logs all interactions for debugging and analysis, allowing fine-grained control over agent behaviors for experiments in collaboration, negotiation, decision-making, and complex problem-solving.

Eigent is an AI platform that enables creating a dynamic AI workforce composed of multiple collaborative agents working in parallel to automate complex workflows. It supports full customization of worker nodes and task-specific tools, providing secure local deployment to ensure data privacy and control. Eigent's infrastructure delivers superior performance and cost-efficiency by optimizing multi-agent interactions, making it ideal for businesses aiming to leverage AI for scalable automation.