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Comunidade colaborativa

  • A community-driven library of prompts for testing new LLMs
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    What is PromptsLabs?
    PromptsLabs is a platform where users can discover and share prompts to test new language models. The community-driven library provides a wide range of copy-paste prompts along with their expected outputs, helping users to understand and evaluate the performance of various LLMs. Users can also contribute their own prompts, ensuring a continually growing and up-to-date resource.
  • WePrompt: AI-driven community hub for creating and sharing prompts.
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    What is We Prompt?
    WePrompt is designed to help users generate, share, and refine AI prompts for various applications. Whether you are an enthusiast or a professional, WePrompt provides a collaborative community to exchange ideas and improve prompt quality. By using AI technology, WePrompt aims to streamline the process of prompt creation, making it easier to find the perfect prompt for any problem.
  • A Pythonic framework implementing the Model Context Protocol to build and run AI agent servers with custom tools.
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    What is FastMCP?
    FastMCP is an open-source Python framework for building MCP (Model Context Protocol) servers and clients that empower LLMs with external tools, data sources, and custom prompts. Developers define tool classes and resource handlers in Python, register them with the FastMCP server, and deploy using transport protocols like HTTP, STDIO, or SSE. The framework’s client library offers an asynchronous interface for interacting with any MCP server, facilitating seamless integration of AI agents into applications.
  • An open web platform to discover, filter, and contribute AI agents with detailed listings and community submissions.
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    What is AI Agent Marketplace?
    AI Agent Marketplace is a community-driven directory for AI agents, allowing developers, researchers, and enthusiasts to discover, evaluate, and contribute agents. Users can filter agents by category, view detailed functionality and integration instructions, and submit their own agents via pull requests. The platform aggregates metadata, links, and examples for each agent, making it easier to compare capabilities and find the right tool for specific use cases.
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