关键词 "Comprehensive thinking" 的搜索结果, 共 20 条, 只显示前 480 条
A comprehensive Solana MCP (Model Context Protocol) server for analyzing memecoins, tracking trends, and providing AI-powered insights using cultural analysis and on-chain data.
A Model Context Protocol (MCP) server that provides comprehensive access to LinkedIn data and functionalities using the HorizonDataWave API, enabling not only data retrieval but also robust management
MCP server for retrieval augmented thinking and problem solving
ReqRefine is an MCP server that enhances requirement gathering through strategic questioning. It guides users to reveal comprehensive needs, uncovers implicit requirements, and transforms dialogue int
The EduBase MCP server enables Claude and other LLMs to interact with EduBase's comprehensive e-learning platform through the Model Context Protocol (MCP).
A powerful Model Context Protocol (MCP) server providing comprehensive Google Maps API integration with LLM processing capabilities.
🧠 MCP server implementing RAT (Retrieval Augmented Thinking) - combines DeepSeek's reasoning with GPT-4/Claude/Mistral responses, maintaining conversation context between interactions.
Enhanced MCP memory system with dynamic compression, context management and thinking process integration. Based on the original MCP memory server.
【Every star you give feeds a hungry developer's motivation!⭐️】A Model Context Protocol (MCP) server implementation that provides Google Jobs search capabilities via SerpAPI integration. Features multi
MCP server for applying a Claude Shannon-inspired problem-solving pattern
🧠 An adaptation of the MCP Sequential Thinking Server to guide tool usage. This server provides recommendations for which MCP tools would be most effective at each stage.
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
A FastMCP server implementation for the Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.
Hyperliquid MCP Server - A comprehensive wrapper around the Hyperliquid SDK for AI assistants
NOT for educational purposes: An MCP server for professional penetration testers including nmap, go/dirbuster, nikto, JtR, wordlist building, and more.
QwenLong-L1-32B 是阿里巴巴集团 Qwen-Doc 团队推出的,基于强化学习训练的首个长文本推理大模型。模型基于渐进式上下文扩展、课程引导的强化学习和难度感知的回顾性采样策略,显著提升在长文本场景下的推理能力。模型在多个长文本文档问答(DocQA)基准测试中表现优异,平均准确率达到了70.7%,超越OpenAI-o3-mini和Qwen3-235B-A22B等现有旗舰模型,且与Cla
MiniMax-M1是MiniMax团队最新推出的开源推理模型,基于混合专家架构(MoE)与闪电注意力机制(lightning attention)相结合,总参数量达 4560 亿,每个token激活 459 亿参数。模型超过国内的闭源模型,接近海外的最领先模型,具有业内最高的性价比。MiniMax-M1原生支持 100 万token的上下文长度,提供40 和80K两种推理预算版本,适合处理长输入
业界首个开源高完成度轻量化通用多智能体产品(JoyAgent-JDGenie) 解决快速构建多智能体产品的最后一公里问题 简介 当前相关开源agent主要是SDK或者框架,用户还需基于此做进一步的开发,无法直接做到开箱即用。我们开源的JoyAgent-JDGenie是端到端的多Agent产品,对于输入的query或者任务,可以直接回答或者解决。例如用户query"给我做一个最
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