Comprehensive большая языковая модель Tools for Every Need

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большая языковая модель

  • Minerva is a Python AI agent framework enabling autonomous multi-step workflows with planning, tool integration, and memory support.
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    What is Minerva?
    Minerva is an extensible AI agent framework designed to automate complex workflows using large language models. Developers can integrate external tools—such as web search, API calls, or file processors—define custom planning strategies, and manage conversational or persistent memory. Minerva supports both synchronous and asynchronous task execution, configurable logging, and a plugin architecture, making it easy to prototype, test, and deploy intelligent agents capable of reasoning, planning, and tool use in real-world scenarios.
  • AI-powered advanced search tool for Twitter.
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    What is X Search Assistant?
    X Search Assistant is an AI-powered tool designed to help users craft advanced Twitter searches. With this tool, you don't need to memorize complex search operators. Simply type your query in plain English, and the LLM (Large Language Model) will generate the corresponding search query for Twitter. You can choose from a variety of supported LLMs and customize them according to your needs. The tool also provides shortcuts and flags to enhance your search efficiency, making Twitter research easier and more effective.
  • Python library with Flet-based interactive chat UI for building LLM agents, featuring tool execution and memory support.
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    What is AI Agent FletUI?
    AI Agent FletUI provides a modular UI framework for creating intelligent chat applications backed by large language models. It bundles chat widgets, tool integration panels, memory stores and event handlers that connect seamlessly with any LLM provider. Users can define custom tools, manage session context persistently and render rich message formats out of the box. The library abstracts the complexity of UI layout in Flet and streamlines tool invocation, enabling rapid prototyping and deployment of LLM-driven assistants.
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