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comportamientos de agentes personalizados

  • An open-source Python framework enabling coordination and management of multiple AI agents for collaborative task execution.
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    What is Multi-Agent Coordination?
    Multi-Agent Coordination provides a lightweight API to define AI agents, register them with a central coordinator, and dispatch tasks for collaborative problem solving. It handles message routing, concurrency control, and result aggregation. Developers can plug in custom agent behaviors, extend communication channels, and monitor interactions through built-in logging and hooks. This framework simplifies the development of distributed AI workflows, where each agent specializes in a subtask and the coordinator ensures smooth collaboration.
    Multi-Agent Coordination Core Features
    • Agent registration and discovery
    • Centralized task orchestration
    • Customizable communication strategies
    • Concurrency and message routing
    • Built-in logging and monitoring hooks
    • Extensible agent behavior API
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