关键词 "component framework" 的搜索结果, 共 13 条, 只显示前 480 条
This is a simple MCP Server Framework that enables data to be passed through a structured messaging protocol, allowing seamless communication between clients and servers. It supports efficient data ex
A server using FastMCP framework to generate images based on prompts via a remote Comfy server.
MCP server for analyzing claims, validating sources, and detecting manipulation using multiple epistemological frameworks
MCP-Server tool use project concept for Claude and compatible AI.
An MCP server that provides safe access to your iMessage database through Model Context Protocol (MCP). This server is built with the FastMCP framework and the imessagedb library, enabling LLMs to que
An MCP server that provides safe, read-only access to SQLite databases through Model Context Protocol (MCP). This server is built with the FastMCP framework, which enables LLMs to explore and query SQ
mcp server connected to us treasury data, built with mcp-framework
GUARDRAIL - MCP Security - Gateway for Unified Access, Resource Delegation, and Risk-Attenuating Information Limits
This project is a Java-based UI automation framework that integrates with Appium and utilizes LLMs (like Claude) to drive intelligent test actions on mobile devices and simulators.
Devstral是Mistral AI和All Hands AI推出的专为软件工程任务设计的编程专用模型。Devstral在解决真实世界软件问题上表现出色,在SWE-Bench Verified基准测试中,得分46.8%大幅领先其他开源模型。Devstral支持处理复杂代码库中的上下文关系、识别组件间联系及发现细微的代码错误。Devstral轻量级,能在单个RTX 4090或32GB内存的Mac上
fellou开源智能体工作流框架,Eko 2.0 在不同复杂程度上始终表现优异: 简单任务:成功率为 95%(其他产品的成功率为 80-90%) 平均成功率:78%(其他产品成功率为 56-61%) 中等复杂度:成功率为 76%(其他产品的成功率为 49-58%) 困难任务:成功率为 70%(其他产品的成功率为 32-43%) 这些数字背后隐藏着不可靠的自动化工具和企业真正可以依
Youtu-agent 是腾讯优图实验室推出的开源智能体框架,用在构建、运行和评估自主智能体。框架基于开源模型DeepSeek-V3实现领先性能,支持多种模型 API 和工具集成,具备强大的智能体能力,如数据分析、文件处理和深度研究。框架用灵活的架构设计,支持 YAML 配置和自动智能体生成,简化开发流程。Youtu-agent 在 WebWalkerQA 和 GAIA 基准测试中表现出色,适用智
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