关键词 "Positive thinking" 的搜索结果, 共 21 条, 只显示前 480 条
MCP server for structured problem-solving using the Lotus Sutra's wisdom framework. Beautiful visualizations, multiple thinking approaches, compatible with various MCP clients (e.g., Claude Desktop, C
Mirror of
Enhanced version of "Sequential Thinking" MCP
mcp-server-mas-sequential-thinking is a project focused on improving decision-making processes in multi-agent systems. It implements sequential reasoning techniques to enhance collaboration and effici
An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.
A powerful server providing advanced thinking tools via the Model Context Protocol (MCP) to enhance the reasoning, planning, and iterative refinement capabilities of AI agents like Cline.
Fully AI generated Flutter app in Claude Desktop with 3.7 Sonnet by MCP servers desktop-commander and sequential-thinking
An MCP server that enables dynamic, reflective problem-solving by structuring thought processes and automatically logging each session to Recall.
A TypeScript Model Context Protocol (MCP) server to allow LLMs to programmatically construct mind maps to explore an idea space, with enforced "metacognitive" self-reflection
A unified MCP server for structured thinking tools including template thinking, and verification thinking
An MCP server providing intelligent transcript processing capabilities, featuring natural formatting, contextual repair, and smart summarization powered by Deep Thinking LLMs.
MCP server for retrieval augmented thinking and problem solving
🧠 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.
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.
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
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
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