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ejecución de planes

  • A Java-based interpreter for AgentSpeak(L), enabling developers to build, execute, and manage BDI-enabled intelligent agents.
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    What is AgentSpeak?
    AgentSpeak is an open-source Java-based implementation of the AgentSpeak(L) programming language, designed to facilitate the creation and management of BDI (Belief-Desire-Intention) autonomous agents. It features a runtime environment that parses AgentSpeak(L) code, maintains agents’ belief bases, triggers events, and selects and executes plans based on current beliefs and goals. The interpreter supports concurrent agent execution, dynamic plan updates, and customizable semantics. With a modular architecture, programmers can extend core components such as plan selection and belief revision. AgentSpeak enables developers in academia and industry to prototype, simulate, and deploy intelligent agents in simulations, IoT systems, and multi-agent scenarios.
    AgentSpeak Core Features
    • AgentSpeak(L) interpreter
    • Belief-Desire-Intention (BDI) architecture
    • Reactive plan execution
    • Dynamic plan loading
    • Concurrent agent execution
    • Customizable semantics
    • Modular architecture
  • FreeAct is an open-source framework enabling autonomous AI agents to plan, reason, and execute actions via LLM-driven modules.
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    What is FreeAct?
    FreeAct leverages a modular architecture to streamline the creation of AI agents. Developers define high-level objectives and configure the planning module to generate stepwise plans. The reasoning component evaluates plan feasibility, while the execution engine orchestrates API calls, database queries, and external tool interactions. Memory management tracks conversation context and historical data, allowing agents to make informed decisions. An environment registry simplifies the integration of custom tools and services, enabling dynamic adaptation. FreeAct supports multiple LLM backends and can be deployed on local servers or cloud environments. Its open-source nature and extensible design facilitate rapid prototyping of intelligent agents for research and production use cases.
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