关键词 "Human-like response" 的搜索结果， 共 13 条, 只显示前 480 条
🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Comb
An MCP server that provides tools for retrieving and processing documentation through vector search, both locally or hosted. Enabling AI assistants to augment their responses with relevant documentati
🧠 MCP server implementing RAT (Retrieval Augmented Thinking) - combines DeepSeek's reasoning with GPT-4/Claude/Mistral responses, maintaining conversation context between interactions.
MCP Server for the Fillout.io API, enabling form management, response handling, and analytics.
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation contex
A Python-based Model Context Protocol (MCP) client and server that enables LLMs to send notifications via Telegram and receive user responses.
An MCP server that enables communication with users through Telegram. This server provides a tool to ask questions to users and receive their responses via a Telegram bot.
MCP Server to connect your MCP host to V0.dev directly
minion-agent的开源项目为开发者们提供了一个全新的AI智能体开发框架。 minion-agent的核心价值在于优雅地解决了「框架碎片化」的问题，开发者想要开发一款AI智能体的话，需要在OpenAI、LangChain、Google AI以及SmolaAgents等多种框架间切换，因为每种框架都有其独特的优势和局限性，也是当前AI智能体开发中的主要阻碍。 minion-agent通过提供
🚀🤖 Crawl4AI：开源 LLM 友好型网络爬虫和抓取工具。 Crawl4AI 是 GitHub 上排名第一的热门代码库，由充满活力的社区积极维护。它提供速度超快、AI 就绪的 Web 爬取功能，专为 LLM、AI 代理和数据管道量身定制。Crawl4AI 开源、灵活，专为实时性能而构建，为开发者提供无与伦比的速度、精度和部署便捷性。 ✨ 查看最新更新 v0.6.0 🎉 0.6.
An AI text humanizer transforms AI-generated content into natural, human-like text. It adds flow, uses conversational phrasing, and avoids robotic language. Our humanization tool helps create engaging
ResponseHub 是一个安全问卷自动化平台，利用人工智能帮助组织完成供应商安全评估和合规性问卷。该工具能够处理多种电子表格格式的安全问卷，并通过参考上传的政策文件、标准操作流程（SOP）以及其他组织文档，自动生成答案。该平台维护一个自动化的知识库，用于存储已回答的问题，并根据已完成的问卷建议新的条目。每个生成的答案都包含对具体政策、章节、页码和句子的引用，以提供可追溯性和响应的可靠性。该工具
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