Ultimate simulação de ambientes Solutions for Everyone

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simulação de ambientes

  • MARFT is an open-source multi-agent RL fine-tuning toolkit for collaborative AI workflows and language model optimization.
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    What is MARFT?
    MARFT is a Python-based LLMs, enabling reproducible experiments and rapid prototyping of collaborative AI systems.
  • MASlite is a lightweight Python multi-agent system framework for defining agents, messaging, scheduling, and environment simulation.
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    What is MASlite?
    MASlite provides a clear API to create agent classes, register behaviors, and handle event-driven messaging between agents. It includes a scheduler to manage agent tasks, environment modeling to simulate interactions, and a plugin system to extend core capabilities. Developers can rapidly prototype multi-agent scenarios in Python by defining agent lifecycle methods, connecting agents via channels, and running simulations in a headless mode or integrating with visualization tools.
  • Elevate your property's presentation with AI-powered virtual staging.
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    What is VSDECO?
    VSDECO is an innovative AI-driven virtual staging solution designed to help you create stunning visuals of residential and commercial properties. By transforming ordinary photos into captivating interiors, VSDECO eliminates the need for physical staging, making it affordable and efficient. Users can select from various design styles to find the perfect look for their space, and the platform ensures quick turnaround, allowing for rapid marketing of properties. It caters to real estate professionals, home sellers, and interior designers looking to elevate their presentations effortlessly.
  • Open-source Python framework to build and run autonomous AI agents in customizable multi-agent simulation environments.
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    What is Aeiva?
    Aeiva is a developer-first platform that enables you to create, deploy, and evaluate autonomous AI agents within flexible simulation environments. It features a plugin-based engine for environment definition, intuitive APIs to customize agent decision loops, and built-in metrics collection for performance analysis. The framework supports integration with OpenAI Gym, PyTorch, and TensorFlow, plus real-time web UI for monitoring live simulations. Aeiva’s benchmarking tools let you organize agent tournaments, record results, and visualize agent behaviors to fine-tune strategies and accelerate multi-agent AI research.
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