Showing 5 open source projects for "complex system"

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  • 1
    PilottAI

    PilottAI

    Python framework for building scalable multi-agent systems

    pilottai is an AI-based autonomous drone navigation system utilizing reinforcement learning for real-time decision-making. It is designed for simulating and training drones to fly safely through dynamic environments using AI-based controllers.
    Downloads: 0 This Week
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  • 2
    Langroid

    Langroid

    Harness LLMs with Multi-Agent Programming

    Given the remarkable abilities of recent Large Language Models (LLMs), there is an unprecedented opportunity to build intelligent applications powered by this transformative technology. The top question for any enterprise is: how best to harness the power of LLMs for complex applications? For technical and practical reasons, building LLM-powered applications is not as simple as throwing a task at an LLM system and expecting it to do it. Effectively leveraging LLMs at scale requires a principled programming framework. In particular, there is often a need to maintain multiple LLM conversations, each instructed in different ways, and "responsible" for different aspects of a task.
    Downloads: 1 This Week
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  • 3
    OWL

    OWL

    Optimized Workforce Learning for General Multi-Agent Assistance

    Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation. OWL (Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation) is an advanced framework designed to enhance multi-agent collaboration, improving task automation across various domains. By utilizing dynamic agent interactions, OWL aims to streamline and optimize complex workflows, making AI collaboration more natural, efficient, and adaptable. It is built on...
    Downloads: 0 This Week
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  • 4
    XAgent

    XAgent

    An Autonomous LLM Agent for Complex Task Solving

    XAgent is an AI-driven autonomous agent framework capable of handling multi-step tasks across different domains. It enables AI agents to perform decision-making, task planning, and self-learning based on user-defined objectives, making it ideal for automation and research applications.
    Downloads: 1 This Week
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  • 5
    Locus

    Locus

    AgentSpeak-like environment description for Jason

    Jason [http://jason.sourceforge.net/] is an AgentSpeak interpreter for multi-agent system development. The agents are describbed in AgentSpeak, but the environment requires a Java description of how the actions and perceptions happen. We aim to close the gap between the descriptions with an AgentSpeak-like description of the environment for new users and simpler examples. Locus generates the Java source required by Jason, giving the user an easier starting point to create complex environments without limiting the user to the tool. ...
    Downloads: 0 This Week
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