关键词 "Reading retention" 的搜索结果, 共 24 条, 只显示前 480 条
Saara is AI software that improves returns management and customer satisfaction in e-commerce.
AI-powered book summaries for any book!
AI-powered tool for interactive PDF reading and summarization.
AI tutor for instant homework help.
Myreader AI is an online platform that allows users to upload and ask questions about books, documents, and papers.
Unroll long Twitter threads for easy reading
genei is an AI tool that uses a custom algorithm to summarize articles and find key information.
Fusion of traditional tarot practice and modern technology
Generate personalized reading experiences using AI-powered NovelistAI website.
AI tools for content creators
Automated writing and proofreading for academics.
Ready Player Me is a trusted developer tool for personalized avatars in games and apps.
Pearson Test of English (PTE) is a computer-based academic exam with online mock tests available. Join APEUni to practice PTE for FREE and use AI scorings to evaluate your performance.
Restaurant technology platform optimizing operations and enhancing customer experience.
Generate high-quality voiceovers with SpeechGen.io's realistic Text-to-Speech AI technology.
An intelligent assistant with unlimited memory power.
A MCP server integration for Godot Engine that allows Claude, Cursor, Windsurf, VSCode, etc to perform actions like creating scenes, resources, scripts, reading errors and much more.
A minimal MCP (Model Context Protocol) server for file system operations. Supports reading, writing, and listing files via JSON-RPC 2.0, designed for integration with AI agents such as Windsurf, Claud
MCP server for reading and writing local files
file analysis MCP server using FastMCP. This server will provide tools to analyze text files, including word count, character frequency analysis, and reading file content.
MCP Server for reading many files at the same time
MCP server for reliably reading code rules into Agentic AI context
A Model Context Protocol (MCP) server for creating, reading, and manipulating Microsoft Word documents. This server enables AI assistants to work with Word documents through a standardized interface,
This project implements a Model Context Protocol (MCP) server for connecting AI models with Obsidian knowledge bases. Through this server, AI models can directly access and manipulate Obsidian notes,
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