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Comprehensive 即插即用整合 Tools for Every Need

Get access to 即插即用整合 solutions that address multiple requirements. One-stop resources for streamlined workflows.

即插即用整合

  • Robocorp LLM State Machine

    A Python library enabling developers to build robust AI agents with state machines managing LLM-driven workflows.
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    What is Robocorp LLM State Machine?
    LLM State Machine is an open-source Python framework designed to construct AI agents using explicit state machines. Developers define states as discrete steps—each invoking a large language model or custom logic—and transitions based on outputs. This approach provides clarity, maintainability, and robust error handling for multi-step, LLM-powered workflows, such as document processing, conversational bots, or automation pipelines.
    Robocorp LLM State Machine Core Features
    • State-driven workflow definition
    • Pluggable LLM integrations (OpenAI, Hugging Face)
    • Customizable transition logic
    • Built-in error handling and retries
    • Logging and monitoring support
    • Modular architecture for extensibility

  • NagaAgent

    NagaAgent is a Python-based AI agent framework enabling custom tool chaining, memory management, and multi-agent collaboration.
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    What is NagaAgent?
    NagaAgent is an open-source Python library designed to simplify the creation, orchestration, and scaling of AI agents. It provides a plug-and-play tool integration system, persistent conversational memory objects, and an asynchronous multi-agent controller. Developers can register custom tools as functions, manage agent state, and choreograph interactions between multiple agents. The framework includes logging, error-handling hooks, and configuration presets for rapid prototyping. NagaAgent is ideal for building complex workflows—customer support bots, data processing pipelines, or research assistants—without infrastructure overhead.
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