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Comprehensive agent behavior design Tools for Every Need

Get access to agent behavior design solutions that address multiple requirements. One-stop resources for streamlined workflows.

agent behavior design

  • Java-Action-Bool

    A Java module providing Boolean operations (AND, OR, NOT, XOR) as actions for LightJason agents.
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    What is Java-Action-Bool?
    Java-Action-Bool integrates seamlessly with the LightJason multi-agent framework, enabling developers to leverage ready-made boolean logic actions in their agent programs. Instead of writing custom boolean checks, you can call provided actions like ActionBoolAnd, ActionBoolOr, ActionBoolNot, and more. These actions evaluate truth values at runtime to guide agent behavior, reducing boilerplate code and simplifying plan definitions in cognitive and reactive agent systems.

  • Multi-Agent Systems

    An open-source Java-based multi-agent system framework implementing agent behaviors, communication, and coordination for distributed problem-solving.
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    What is Multi-Agent Systems?
    Multi-Agent Systems is designed to simplify the creation, configuration, and execution of distributed agent-based architectures. Developers can define agent behaviors, communication ontologies, and service descriptions within Java classes. The framework handles container setup, message transport, and life-cycle management for agents. Built on standard FIPA protocols, it supports peer-to-peer negotiation, collaborative planning, and modular extension. Users can run, monitor, and debug multi-agent scenarios on a single machine or across networked hosts, making it ideal for research, education, and small-scale deployments.

  • AgentUniverse

    An open-source SDK enabling developers to build, orchestrate and deploy autonomous AI agents with custom tools integration.
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    What is AgentUniverse?
    AgentUniverse provides a unified Python SDK to design, orchestrate, and run autonomous AI agents. Developers can define agent behaviors, integrate external tools or APIs, maintain conversational memory, and sequence multi-step tasks. Supporting LangChain, custom tool plugins, and configurable runtime environments, it accelerates agent development and deployment. Built-in monitoring and logging enable real-time insights, while its modular architecture allows easy extension with new capabilities or AI models.

  • Leap AI

    Leap AI is an open-source framework for creating AI agents that handle API calls, chatbots, music generation, and coding tasks.
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    What is Leap AI?
    Leap AI is an open-source platform and framework designed to simplify creation of AI-driven agents across various domains. With its modular architecture, developers can assemble components for API integration, conversational chatbots, music composition, and intelligent coding assistance. Using predefined connectors, Leap AI agents can call external RESTful services, process and respond to user input, generate original music tracks, and suggest code snippets in real time. Built on popular machine learning libraries, it supports custom model integration, logging, and monitoring. Users can define agent behavior through configuration files or extend functionality with JavaScript or Python plugins. Deployment is streamlined via Docker containers, serverless functions, or cloud services. Leap AI accelerates prototyping and production of AI agents for diverse use cases.
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