关键词 "Open-source projects" 的搜索结果, 共 14 条, 只显示前 480 条
Discover the most comprehensive and up-to-date collection of MCP servers in the market. This repository serves as a centralized hub, offering an extensive catalog of open-source and proprietary MCP se
This is a directory repo for anything related to MCP - servers, clients and projects around MCP.
Open-source MCP server platform. A web Ninite for composing your custom MCP server and deploying anywhere.
Open-source MCP (Mission Control Panel) server for AWS - A powerful, region-independent backend service for AWS operations
Klavis AI (YC X25): Open Source, easy to use MCPs on Slack, Discord and Web
This is "a" version focued on enabling to web browsing from Claude app of model context procol projects.
MacPilot CLI is an open-source tool that enables interaction with macOS through the MCP. It provides a collection of system tools that allow AI assistants to perform various operations on macOS system
A simple, working example of a Model Context Protocol (MCP) server that lets you play the classic Lemonade Stand game through Claude Desktop. 什么是 MCP? 模型上下文协议 (MCP) 是一项开放标准,它使像 Claude 这样的 AI 模型能
Node.js Model Context Protocol (MCP) server providing secure, relative filesystem access for AI agents like Cline/Claude.
This is a File system mcp server that could allow an LLM to read and list files from a specified safe directory on your local machine.
RWKV开源发布了 RWKV7-G1 1.5B 推理模型(Reasoning Model)。模型基于 World v3.5 数据集训练,包含更多小说、网页、数学、代码和 reasoning 数据,总数据为 5.16T tokens。其具备其它同尺寸模型不具备的推理能力和任务能力,同时还支持现实世界 100+ 种语言。 在实际测试中,RWKV7-G1 1.5B 模型的推理逻辑性较强,能够完成有难度的
DreamFit是什么 DreamFit是字节跳动团队联合清华大学深圳国际研究生院、中山大学深圳校区推出的虚拟试衣框架,专门用在轻量级服装为中心的人类图像生成。框架能显著减少模型复杂度和训练成本,基于优化文本提示和特征融合,提高生成图像的质量和一致性。DreamFit能泛化到各种服装、风格和提示指令,生成高质量的人物图像。DreamFit支持与社区控制插件的无缝集成,降低使用门槛。 Dre
Gemini CLI 是谷歌开源的 AI Agent,将 Gemini 大模型融入开发者终端。Gemini CLI提供强大 AI 功能,如代码理解、文件操作、命令执行及动态排查问题,助力开发者高效编写代码、修复错误、构建功能和迁移代码。Gemini CLI内置谷歌搜索,支持 MCP 协议,支持扩展数千功能,Gemini CLI支持用户定制提示和指令,能集成到脚本中实现自动化任务。Gemini CL
Fireplexity是Firecrawl推出的开源AI问答引擎,基于Next.js构建。Fireplexity支持让开发者快速搭建和托管自己的AI驱动的问答应用。具有快速部署(5分钟内启动)、无供应商锁定(完全开源,可自由定制)、实时智能(基于Firecrawl可靠抓取网页内容,智能筛选并合成带引用的答案)等特点。Fireplexity用GPT-4o-mini生成实时答案,支持替换为任何兼容Op
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