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implantações em nuvem

  • Connery SDK enables developers to build, test, and deploy memory-enabled AI agents with tool integrations.
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    What is Connery SDK?
    Connery SDK is a comprehensive framework that simplifies the creation of AI agents. It provides client libraries for Node.js, Python, Deno, and the browser, enabling developers to define agent behaviors, integrate external tools and data sources, manage long-term memory, and connect to multiple LLMs. With built-in telemetry and deployment utilities, Connery SDK accelerates the entire agent lifecycle from development to production.
    Connery SDK Core Features
    • Multi-language client libraries (Node.js, Python, Deno, Browser)
    • Persistent memory stores for context retention
    • Multi-model and vector search integrations
    • Plugin and tool invocation framework
    • Built-in telemetry and logging
    • Deployment utilities for cloud and on-premises
    Connery SDK Pro & Cons

    The Cons

    Documentation indicates last update was 7 months ago, which may imply slower recent development.
    Lack of explicit pricing or enterprise support details might limit adoption for larger businesses.
    No mention of ready-made end-user applications or demo apps available.

    The Pros

    Open-source, facilitating transparency and community contributions.
    Combines SDK and CLI to streamline AI plugin and action development.
    Standardized REST API simplifies app integration and interaction consistency.
    Handles authorization, input validation, and logging automatically.
    Flexible plugin architecture enabling interaction with external services.
    Connery SDK Pricing
    Has free planNo
    Free trial details
    Pricing model
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://docs.connery.io/sdk
  • ExampleAgent is a template framework for creating customizable AI agents that automate tasks via OpenAI API.
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    What is ExampleAgent?
    ExampleAgent is a developer-focused toolkit designed to accelerate the creation of AI-driven assistants. It integrates directly with OpenAI’s GPT models to handle natural language understanding and generation, and offers a pluggable system for adding custom tools or APIs. The framework manages conversation context, memory, and error handling, enabling agents to perform information retrieval, task automation, and decision-making workflows. With clear code templates, documentation, and examples, teams can rapidly prototype domain-specific agents for chatbots, data extraction, scheduling, and more.
  • CopilotKit is a Python-based SDK to create AI agents with multi-tool integration, memory management, and conversational LangGraph.
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    What is CopilotKit?
    CopilotKit is an open-source Python framework designed for developers to build customized AI agents. It offers a modular architecture where you can register and configure tools — such as file system access, web search, Python REPL, and SQL connectors — then wire them into agents that leverage any supported LLM. Built-in memory modules allow conversation state persistence, while LangGraph lets you define structured reasoning flows for complex tasks. Agents can be deployed in scripts, web services, or CLI apps and scale across cloud providers. CopilotKit works seamlessly with OpenAI, Azure OpenAI, and Anthropic models, empowering automated workflows, chatbots, and data analysis bots.
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