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funções de registro

  • A Python framework for building scalable multi-channel conversational AI agents with context management.
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    What is Multiple MCP Server-based AI Agent BOT?
    This framework provides a server-based architecture supporting Multiple-MCP (Multi-Channel Processing) servers to handle concurrent conversations, maintain context across sessions, and integrate external services via plugins. Developers can configure connectors for messaging platforms, define custom function calls, and scale instances using Docker or native hosts. It includes logging, error handling, and a modular pipeline to extend capabilities without altering core code.
    Multiple MCP Server-based AI Agent BOT Core Features
    • Multi-Channel Processing servers
    • Session context management
    • Plugin-based connector architecture
    • Custom function calling
    • Scalable deployment with Docker
    • Built-in logging and error handling
  • An experimental low-code studio for designing, orchestrating, and visualizing multi-agent AI workflows with interactive UI and customizable agent templates.
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    What is Autogen Studio Research?
    Autogen Studio Research is a GitHub-hosted research prototype for building, visualizing, and iterating on multi-agent AI applications. It offers a web-based UI that lets you drag and drop agent components, define communication channels, and configure execution pipelines. Under the hood, it uses a Python SDK to connect to various LLM backends (OpenAI, Azure, local models) and provides real-time logging, metrics, and debugging tools. The platform is designed for rapid prototyping of collaborative agent systems, decision-making workflows, and automated task orchestration.
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