Comprehensive 실시간 시뮬레이션 Tools for Every Need

Get access to 실시간 시뮬레이션 solutions that address multiple requirements. One-stop resources for streamlined workflows.

실시간 시뮬레이션

  • A local development studio for building, testing, and debugging AI agents using the OpenAI Autogen framework.
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    What is OpenAI Autogen Dev Studio?
    OpenAI Autogen Dev Studio is a desktop web application designed to streamline the end-to-end development of AI agents built on the OpenAI Autogen framework. It offers a visual, conversation-centric interface where developers can define system prompts, configure memory strategies, integrate external tools, and adjust model parameters. Users can simulate multi-turn dialogues in real time, inspect generated responses, trace execution paths, and debug agent logic within an interactive console. The platform also includes code scaffolding features to export fully-functional agent modules, enabling seamless integration into production environments. By centralizing workflow automation, debugging, and code generation, it accelerates prototyping and reduces development complexity for conversational AI projects.
  • A Python-based framework enabling creation and simulation of AI-driven agents with customizable behaviors and environments.
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    What is Multi Agent Simulation?
    Multi Agent Simulation offers a flexible API to define Agent classes with custom sensors, actuators, and decision logic. Users configure environments with obstacles, resources, and communication protocols, then run step-based or real-time simulation loops. Built-in logging, event scheduling, and Matplotlib integration help track agent states and visualize results. The modular design allows easy extension with new behaviors, environments, and performance optimizations, making it ideal for academic research, educational purposes, and prototyping multi-agent scenarios.
  • An open-source JavaScript framework enabling interactive multi-agent system simulation with 3D visualization using AgentSimJs and Three.js.
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    What is AgentSimJs-ThreeJs Multi-Agent Simulator?
    This open-source framework combines the AgentSimJs agent modeling library with Three.js's 3D graphics engine to deliver interactive, browser-based multi-agent simulations. Users can define agent types, behaviors, and environmental rules, configure collision detection and event handling, and visualize simulations in real time with customizable rendering options. The library supports dynamic controls, scene management, and performance tuning, making it ideal for research, education, and prototyping of complex agent-based scenarios.
  • Create, automate, and simulate AI personas with PersonifAI.
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    What is PersonifAI?
    PersonifAI is an innovative AI platform where you can design and customize AI personas for various purposes, including storytelling, automation, and real-time simulation. Engage in one-on-one or group interactions, create immersive storytelling experiences, automate AI tasks with custom workflows, and test your ideas through dynamic simulations. Whether you're a creator, professional, or an AI enthusiast, PersonifAI offers tools to make AI personal, accessible, and endlessly customizable.
  • An open-source visual IDE enabling AI engineers to build, test, and deploy agentic workflows 10x faster.
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    What is PySpur?
    PySpur provides an integrated environment for constructing, testing, and deploying AI agents via a user-friendly, node-based interface. Developers assemble chains of actions—such as language model calls, data retrieval, decision branching, and API interactions—by dragging and connecting modular blocks. A live simulation mode lets engineers validate logic, inspect intermediate states, and debug workflows before deployment. PySpur also offers version control of agent flows, performance profiling, and one-click deployment to cloud or on-premise infrastructure. With pluggable connectors and support for popular LLMs and vector databases, teams can prototype complex reasoning agents, automated assistants, or data pipelines quickly. Open-source and extensible, PySpur minimizes boilerplate and infrastructure overhead, enabling faster iteration and more robust agent solutions.
  • Generate endless, playable 3D worlds from a single image prompt with Genie 2.
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    What is Genie 2?
    Genie 2 is a revolutionary AI world modeling tool that uses an autoregressive latent diffusion model to generate fully playable, action-responsive 3D environments from a single image prompt. This technology supports realistic physics simulations, dynamic lighting, responsive object interactions, and complex character animations. The generated worlds can be manipulated in real-time, making Genie 2 an invaluable tool for rapid prototyping in game development, AI research, creative design workflows, and environment testing.
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