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soluções de IA flexíveis

  • Aixbt is a tokenized AI Agent optimizing revenue across applications.
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    What is aixbt by Virtuals?
    Aixbt is an innovative AI Agent by Virtuals that allows users to harness the power of artificial intelligence through a tokenized model. By collaborating with other users, Aixbt enhances profitability and expands use cases through a decentralized protocol. This Agent can be integrated into numerous applications, enabling efficient service delivery and creating new revenue avenues. It aims to redefine how AI can be utilized in business and personal projects, making it more accessible and lucrative for its users.
  • AI assistant that helps with writing, speaking, and creating images.
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    What is JuicyAI?
    JuicyAI is a versatile AI assistant platform designed to assist in various tasks, including text generation, image creation, speech-to-text, and text-to-speech. Each specialized AI assistant, referred to as a 'Juicer,' can handle specific tasks, making it possible to mix and match to create your ideal AI team. Whether you need help with email marketing, coding, data analysis, or social media management, JuicyAI has a Juicer for you. Plans come with monthly credits, allowing flexibility and scalability to suit individual needs.
  • Stansa.ai offers an unfiltered AI alternative to ChatGPT.
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    What is stansa.ai?
    Stansa.ai is an AI platform designed to offer users a more open, unrestricted experience compared to other AI systems, such as ChatGPT. It aims to provide powerful, flexible, and accurate AI-driven interactions for a variety of applications. By removing typical filters and constraints, Stansa.ai opens up new possibilities for users who require an AI that can handle a broader range of inputs and deliver more customized, detailed responses.
  • A Python SDK to create and run customizable AI agents with tool integrations, memory storage, and streaming responses.
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    What is Promptix Python SDK?
    Promptix Python is an open-source framework for building autonomous AI agents in Python. With a simple installation via pip, you can instantiate agents powered by any major LLM, register domain-specific tools, configure in-memory or persistent data stores, and orchestrate multi-step decision loops. The SDK supports real-time streaming of token outputs, callback handlers for logging or custom processing, and built-in memory modules to retain context across interactions. Developers can leverage this library to prototype chatbot assistants, automations, data pipelines, or research agents in minutes. Its modular design allows swapping models, adding custom tools, and extending memory backends, providing flexibility for a wide range of AI agent use cases.
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