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design de fluxo visual

  • LangGraph Studio is an IDE for developing AI agents using LangChain.
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    What is LangGraph Studio?
    LangGraph Studio is the first Integrated Development Environment (IDE) designed for creating AI agents using the LangChain framework. It enables developers to visually design workflows, manage data connections, and integrate multiple processing components. Users can leverage powerful debugging tools, version control, and real-time collaboration features, making it easier to develop complex AI applications efficiently. This IDE is aimed at simplifying the development process, allowing both novices and experienced developers to build robust AI agents.
    LangGraph Studio Core Features
    • Visual workflow design
    • Real-time debugging
    • Version control integration
    • Collaboration tools
    LangGraph Studio Pro & Cons

    The Cons

    Currently available only as a desktop app for Apple Silicon, limiting platform availability
    Still in open beta, which may imply instability or incomplete features

    The Pros

    Specialized IDE tailored for developing complex agentic LLM applications
    Supports visualization and real-time interaction with agent workflows
    Enables stepping through and debugging agent processes
    Open-source framework and tooling
    Facilitates iterative development by allowing mid-execution modifications of agent state and code
    Integrates with LangSmith and LangGraph for enhanced orchestration and persistence features
  • Pentagi is an AI agent development platform enabling users to design, deploy and manage autonomous task-specific conversational agents seamlessly.
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    What is Pentagi?
    Pentagi is a no-code AI agent platform that lets you create, train, and deploy intelligent conversational agents for various business scenarios. Using its visual flow builder, you define intents, entities, and response actions. Integrations with external APIs enable dynamic data retrieval and automated task execution. Deploy your agents on web chat widgets, messaging apps, or mobile SDKs, then monitor performance through a built-in analytics dashboard to optimize conversations and agent effectiveness.
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