a deepseek r1 MCP for reasoning/desigining with agents
# Deepseek r1 reasoning extension for locally running models Aim: provide locally runnable technical agent system, using a combination of models and no remote models. Uses deepseek r1 as a reasoning model, which can then be coupled with a tool calling model, for example in the case of goose agent below. Deepseek r1 and other reasoning models often can't effectively do tool calling, but can be combined with other models which while not as good at reasoning, can do tool calling. Below is a diagram of how it works with the "project goose" agent, which makes use of ollama with all local models:  This is a generic MCP server so should work with any agent system, as long as ollama is running, and can run entirely locally. Usage: ```sh npx -y deepseek-reasoner-mcp ``` This can be used in any agent system.
HAL 分层混合模型工作流 — 强模型(Claude)负责理解/拆解/验收,低成本模型(DeepSeek)负责检索/提取/清洗。Hermes Agent skill。
An LLM agent fine-tuned on DeepSeek for spaced repetition, dynamically integrating knowledge points based on the Ebbinghaus forgetting curve.
基于 STM32F103 构建的端到端 AI 智能手表生态。自研“零重定位”原生机器码动态加载引擎与页面栈式 UI 框架;集成生产级 OTA 回滚保护机制与高带宽(921600 baud)串口协议栈。通过 Node.js 中继实现 DeepSeek AI 语义控制及 ASRPRO 语音全双工交互,是一个集成了分布式计算、现代存储管理与 AI Agent 的嵌入式全栈工程。
A Meta-Agent-Driven Self-Evolving Multi-Agent System for UAV Detection and Tracking
One command to run Hermes AI Agent with a browser UI. Zero prerequisites. 一行命令,AI 就位。
网页应用Agent,接入DeepSeek、Mimo等模型