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búsqueda en la web

  • Easily search within web pages without typing site:.
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    What is SearchWithin Extension?
    Search Within Extension is a user-friendly Chrome tool designed to enhance web search functionality. It allows users to perform instant searches within the current website, eliminating the need to type 'site:' in the address bar. With this extension, users can easily access relevant information on any website, making online research quicker and more efficient. This tool is particularly useful for websites lacking a robust internal search feature, giving users the ability to find specific content without hassle.
    SearchWithin Extension Core Features
    • Instant search results within the current site
    • User-friendly interface
    • No need to type 'site:' in the address bar
  • A Windows desktop AI assistant using natural language to automate system tasks, manage files, and fetch information.
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    What is WinMind?
    WinMind combines speech recognition, natural language understanding, and text-to-speech to create an interactive desktop AI assistant. Users install the Python-based tool, configure their OpenAI API key, and then speak or type commands like “open my documents folder,” “schedule a meeting tomorrow,” or “search for the latest news.” WinMind executes system operations, organizes files, sets reminders, and retrieves online information. A plugin architecture allows developers to extend functionality for specialized workflows or third-party integrations.
  • An open-source LLM-based agent framework using ReAct pattern for dynamic reasoning with tool execution and memory support.
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    What is llm-ReAct?
    llm-ReAct implements the ReAct (Reasoning and Acting) architecture for large language models, enabling seamless integration of chain-of-thought reasoning with external tool execution and memory storage. Developers can configure a toolkit of custom tools—such as web search, database queries, file operations, and calculators—and instruct the agent to plan multi-step tasks, invoking tools as needed to retrieve or process information. The built-in memory module preserves conversational state and past actions, supporting more context-aware agent behaviors. With modular Python code and support for OpenAI APIs, llm-ReAct simplifies experimentation and deployment of intelligent agents that can adaptively solve problems, automate workflows, and provide context-rich responses.
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