Comprehensive Comunicação entre Agentes AI Tools for Every Need

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Comunicação entre Agentes AI

  • A web-based platform to design, orchestrate, and manage custom AI agent workflows with multi-step reasoning and integrated data sources.
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    What is SquadflowAI Studio?
    SquadflowAI Studio allows users to visually compose AI agents by defining roles, tasks, and inter-agent communications. Agents can be chained to handle complex multi-step processes—querying databases or APIs, performing actions, and passing context among one another. The platform supports plugin extensions, real-time debugging, and step-by-step logs. Developers configure prompts, manage memory states, and set conditional logic without boilerplate code. Models from OpenAI, Anthropic, and local LLMs are supported. Teams can deploy workflows via REST or WebSocket endpoints, monitor performance metrics, and adjust agent behaviors through a centralized dashboard.
    SquadflowAI Studio Core Features
    • Visual workflow builder for AI agents
    • Multi-agent orchestration and communication
    • LLM provider integrations (OpenAI, Anthropic, local models)
    • Plugin support for external API calls
    • Real-time debugging and logs
    • Customizable prompts and memory management
    • Role-based access control
  • The AI Agent Network Protocol facilitates seamless communication among AI agents for enhanced collaboration.
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    What is Agent Network Protocol?
    The AI Agent Network Protocol is designed to foster communication and interaction among different AI agents, allowing them to exchange data, execute tasks collaboratively, and adapt to user requirements in real-time. It enhances interoperability and efficiency, promoting dynamic task sharing and resource optimization across diverse applications in sectors such as automation, customer support, and data analysis.
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