关键词 "dynamic responses" 的搜索结果, 共 9 条, 只显示前 480 条
Enhanced MCP memory system with dynamic compression, context management and thinking process integration. Based on the original MCP memory server.
🧠 MCP server implementing RAT (Retrieval Augmented Thinking) - combines DeepSeek's reasoning with GPT-4/Claude/Mistral responses, maintaining conversation context between interactions.
An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation contex
A Python-based Model Context Protocol (MCP) client and server that enables LLMs to send notifications via Telegram and receive user responses.
MCPchat is terminal-based LLM chat client supporting multiple Model Context Protocol (MCP) servers with real-time server management and dynamic model switching.
An MCP server that enables communication with users through Telegram. This server provides a tool to ask questions to users and receive their responses via a Telegram bot.
minion-agent的开源项目为开发者们提供了一个全新的AI智能体开发框架。 minion-agent的核心价值在于优雅地解决了「框架碎片化」的问题,开发者想要开发一款AI智能体的话,需要在OpenAI、LangChain、Google AI以及SmolaAgents等多种框架间切换,因为每种框架都有其独特的优势和局限性,也是当前AI智能体开发中的主要阻碍。 minion-agent通过提供
Lovart 全球首个设计 Agent 体验 Lovart 的三个特点: 一、全链路设计和执行,一句话搞定 以前的文生图工具,它们所提供的任务是“生成图片”这一环。 而设计 Agent,则像一位“设计执行官”,覆盖从创意拆解到专业交付的整个视觉流程。 从意图拆解 → 任务链 → 最后成品,一句话全搞定。 单次可以执行上
Mujoco(Multi-Joint dynamics with Contact)是一款用于机器人学、生物力学等领域的高性能物理仿真引擎,其核心功能包括动力学模拟、接触力建模及多关节系统仿真。该工具提供直观的操作界面、丰富的物理参数配置以及灵活的约束条件设置,适用于复杂机械系统或生物运动的模拟分析。以下从操作功能、仿真交互机制、核心术语与参数三个维度展开说明。 MuJoCo是“多关节接触动力学”
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