Java Action Generic is a lightweight, modular library that allows developers to implement autonomous agent behaviors in Java by defining generic actions. Actions are parameterized units of work that agents can execute, schedule, and compose at runtime. The framework offers a consistent action interface, allowing developers to create custom actions, handle action parameters, and integrate with LightJason’s agent lifecycle management. With support for event-driven execution and concurrency, agents can perform tasks such as dynamic decision-making, interaction with external services, and complex behavior orchestration. The library promotes reusability and modular design, making it suitable for research, simulations, IoT, and game AI applications on any JVM-supported platform.

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.

JADE is a Java-based agent framework enabling developers to create, deploy, and manage multiple autonomous software agents across distributed environments. Each agent runs within a container, communicates via FIPA-compliant Agent Communication Language (ACL), and can register services with a Directory Facilitator for discovery. Agents execute predefined behaviors or dynamic tasks and can migrate between containers using Remote Method Invocation (RMI). JADE supports ontology definitions for structured message content and provides graphical tools for monitoring agent states and message exchanges. Its modular architecture allows integration with external services, databases, and REST interfaces, making it suitable for developing simulations, IoT orchestrations, negotiation systems, and more. The framework’s extensibility and compliance with industry standards streamline the implementation of complex multi-agent systems.