关键词 "Session Explorer" 的搜索结果, 共 22 条, 只显示前 480 条
MCP for AWS Cost Explorer and CloudWatch logs
Vibe querying with MCP server for Azure Data Explorer (Kusto)
A unified API gateway for integrating multiple etherscan-like blockchain explorer APIs with Model Context Protocol (MCP) support for AI assistants.
A Model Control Protocol (MCP) server for exploring and accessing Radio France podcasts and audio content.
An MCP server that enables dynamic, reflective problem-solving by structuring thought processes and automatically logging each session to Recall.
Mirror of
Manage qualitative research context across sessions using knowledge graph based MCP Server
Manage quantitative research context across sessions via knowledge graph based MCP Server
A long-term memory storage system for LLMs using the Model Context Protocol (MCP) standard. This system helps LLMs remember the context of work done over the entire history of a project, even across m
MCP Servers for persistent context across work sessions using knowledge graphs for efficiency
A Model Context Protocol (MCP) server that enables AI assistants to query and analyze Azure Data Explorer databases through standardized interfaces.
MCP server for understanding AWS spend
Windows MCP server for data exploration with Claude
MCP to explore websites with llms.txt files
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
Sample prompts and recipes for using Model Context Protocol (MCP) server to query and manage Azure resources — scenarios include Azure Managed Grafana, Azure Data Explorer (Kusto), Azure Resource Grap
Learning repository: conversations and notes from my learning sessions with Claude. And all files are upload by Claude MCP server
Claude Server is an MCP implementation that enhances Claude's capabilities by providing sophisticated context management across sessions, enabling persistent knowledge organization through hierarchica
WebThinker是中国人民大学、北京智源人工智能研究院和华为泊松实验室等机构提出的深度研究智能体。WebThinker赋能大型推理模型(LRMs)在推理过程中自主进行网络搜索、网页导航和报告撰写。WebThinker基于深度网页探索器和自主思考、搜索、写作策略,让LRMs能动态获取信息,实时生成高质量研究报告。WebThinker基于强化学习的训练策略进一步优化工具使用效率。WebThinke
类似 Manus 但基于 Deepseek R1 Agents 的本地模型。 Manus AI 的本地替代品,它是一个具有语音功能的大语言模型秘书,可以 Coding、访问你的电脑文件、浏览网页,并自动修正错误与反省,最重要的是不会向云端传送任何资料。采用 DeepSeek R1 等推理模型构建,完全在本地硬体上运行,进而保证资料的隐私。 Features: 100% 本机运行:
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