Showing 12 open source projects for "ai agent mod"

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  • 1
    Agent S

    Agent S

    Agent S: an open agentic framework that uses computers like a human

    Agent S is an open-source agentic framework designed to enable autonomous computer use through an Agent-Computer Interface (ACI). Built to operate graphical user interfaces like a human, it allows AI agents to perceive screens, reason about tasks, and execute actions across macOS, Windows, and Linux systems. The latest version, Agent S3, surpasses human-level performance on the OSWorld benchmark, demonstrating state-of-the-art results in complex multi-step computer tasks. ...
    Downloads: 7 This Week
    Last Update:
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  • 2
    Multi-Agent Orchestrator

    Multi-Agent Orchestrator

    Flexible and powerful framework for managing multiple AI agents

    Multi-Agent Orchestrator is an AI coordination framework that enables multiple intelligent agents to work together to complete complex, multi-step workflows.
    Downloads: 4 This Week
    Last Update:
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  • 3
    AgentUniverse

    AgentUniverse

    agentUniverse is a LLM multi-agent framework

    AgentUniverse is a multi-agent AI framework that enables coordination between multiple intelligent agents for complex task execution and automation.
    Downloads: 8 This Week
    Last Update:
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  • 4
    VectorizedMultiAgentSimulator (VMAS)

    VectorizedMultiAgentSimulator (VMAS)

    VMAS is a vectorized differentiable simulator

    VectorizedMultiAgentSimulator is a high-performance, vectorized simulator for multi-agent systems, focusing on large-scale agent interactions in shared environments. It is designed for research in multi-agent reinforcement learning, robotics, and autonomous systems where thousands of agents need to be simulated efficiently.
    Downloads: 3 This Week
    Last Update:
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  • 5
    TaskWeaver

    TaskWeaver

    A code-first agent framework for seamlessly planning analytics tasks

    TaskWeaver is a multi-agent AI framework designed for orchestrating autonomous agents that collaborate to complete complex tasks.
    Downloads: 0 This Week
    Last Update:
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  • 6
    RWARE

    RWARE

    MuA multi-agent reinforcement learning environment

    robotic-warehouse is a simulation environment and framework for robotic warehouse automation, enabling research and development of AI and robotic agents to manage warehouse logistics, such as item picking and transport.
    Downloads: 1 This Week
    Last Update:
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  • 7
    Habitat-Lab

    Habitat-Lab

    A modular high-level library to train embodied AI agents

    Habitat-Lab is a modular high-level library for end-to-end development in embodied AI. It is designed to train agents to perform a wide variety of embodied AI tasks in indoor environments, as well as develop agents that can interact with humans in performing these tasks. Allowing users to train agents in a wide variety of single and multi-agent tasks (e.g. navigation, rearrangement, instruction following, question answering, human following), as well as define novel tasks. ...
    Downloads: 1 This Week
    Last Update:
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  • 8
    OSWorld

    OSWorld

    Benchmarking Multimodal Agents for Open-Ended Tasks

    OSWorld is an open-source synthetic world environment designed for embodied AI research and multi-agent learning. It provides a richly simulated 3D world where multiple agents can interact, perform tasks, and learn complex behaviors. OSWorld emphasizes multi-modal interaction, enabling agents to process visual, auditory, and symbolic data for grounded learning in a simulated world.
    Downloads: 3 This Week
    Last Update:
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  • 9
    RLCard

    RLCard

    Reinforcement Learning / AI Bots in Card (Poker) Games

    RLCard is a toolkit for reinforcement learning research on card games. It includes several popular card games and focuses on learning algorithms for imperfect information games like poker and blackjack.
    Downloads: 0 This Week
    Last Update:
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  • 10
    DouZero

    DouZero

    [ICML 2021] DouZero: Mastering DouDizhu

    DouZero is a reinforcement learning-based AI for playing DouDizhu, a popular Chinese card game. It focuses on perfecting AI strategies for competitive play using value-based deep RL techniques.
    Downloads: 1 This Week
    Last Update:
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  • 11
    SMAC

    SMAC

    SMAC: The StarCraft Multi-Agent Challenge

    SMAC (StarCraft II Multi-Agent Challenge) is a benchmark environment for cooperative multi-agent reinforcement learning (MARL), based on real-time strategy (RTS) game scenarios in StarCraft II. It allows researchers to test algorithms where multiple units (agents) must collaborate to win battles against built-in game AI opponents. SMAC provides a controlled testbed for studying decentralized execution and centralized training paradigms in MARL.
    Downloads: 0 This Week
    Last Update:
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  • 12
    Project Malmo

    Project Malmo

    A platform for Artificial Intelligence experimentation on Minecraft

    ...Project Malmo sets out to address these core research challenges, addressing them by integrating (deep) reinforcement learning, cognitive science, and many ideas from artificial intelligence. The Malmo platform is a sophisticated AI experimentation platform built on top of Minecraft, and designed to support fundamental research in artificial intelligence. The Project Malmo platform consists of a mod for the Java version, and code that helps artificial intelligence agents sense and act within the Minecraft environment. The two components can run on Windows, Linux, or Mac OS, and researchers can program their agents in any programming language they’re comfortable with.
    Downloads: 7 This Week
    Last Update:
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