Comprehensive децентрализованные системы Tools for Every Need

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децентрализованные системы

  • An open-source Python framework for simulating cooperative and competitive AI agents in customizable environments and tasks.
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    What is Multi-Agent System?
    Multi-Agent System provides a lightweight yet powerful toolkit for designing and executing multi-agent simulations. Users can create custom Agent classes to encapsulate decision-making logic, define Environment objects to represent world states and rules, and configure a Simulation engine to orchestrate interactions. The framework supports modular components for logging, metrics collection, and basic visualization to analyze agent behaviors in cooperative or adversarial settings. It’s suitable for rapid prototyping of swarm robotics, resource allocation, and decentralized control experiments.
  • Coaty is a TypeScript-based open-source framework enabling decentralized agent-based communication and management for scalable IoT applications.
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    What is Coaty?
    Coaty is an open-source toolkit written in TypeScript for developing collaborative, decentralized IoT applications using software agents. It delivers a container runtime that hosts agent instances, a discovery and registry service for dynamic resource lookup, and pub/sub communication layers for event distribution. Built-in storage adapters synchronize state across devices, while a flexible data model allows you to extend and share domain objects. Coaty supports multiple transport protocols like MQTT and WebSocket, enabling robust, real-time interoperability between edge, fog, and cloud environments without central points of failure.
  • Open ACN enables decentralized multi-agent coordination, consensus, and communication to build scalable, autonomous, cross-platform AI agent networks.
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    What is Open ACN?
    Open ACN is a robust AI platforms and frameworks solution designed for building decentralized multi-agent systems. It offers a suite of consensus protocols tailored for agent cooperation, ensuring reliable decision-making across geodistributed nodes. The framework includes modular communication layers, customizable strategy plug-ins, and a built-in simulation environment for end-to-end testing. Developers can define agent behaviors, deploy across Linux, macOS, Windows, or Docker, and leverage real-time logging and monitoring tools. By providing extensible APIs and seamless integration with existing machine learning models, Open ACN simplifies complex orchestration tasks, fostering interoperable, resilient autonomous networks suitable for applications in robotics, supply chain automation, decentralized finance, and IoT.
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