MCP Server 排行

Build LLM systems you actually control. A free, open engineering book + course — from tokenization to serving your own models. Mechanisms, trade-offs, and numbers, not prompt tips

Qurio brings multi-provider models, custom agents, reusable skills, MCP servers, HTTP tools, retrieval, long-term memory, Deep Research, and Scrapbook into one operating surface.

Spring AI agent engineering project with Java, MCP, RAG, tool calling, multimodal workflows, and UI prototypes.

Your agent seeks what search can't find. A self-hosted perception MCP server that transcribes speech, reads behind logins, sees images and video frames, crosses languages, and remembers.

🐳🧩 Easy to use MCP builder & launcher for all possible MCP servers, just like Ollama for models!

A2A protocol client for your terminal

Python-side witness stack for the official DeepSeek Harness (Node). Five `dsh doctor --node` probes each report something the Node runtime will not. `pip install deepseek-harness-cli` first

MCP server for Git with local Ollama — zero tokens for git operations

Optimize any AI agent’s skills, tools/MCP, and prompts against your own evals.

一个基于多智能体协作（Multi-Agent）深度研究系统，能够将宏大的模糊课题自动拆解，通过并行联网搜索、智能体内部审查与自纠错，最终撰写生成包含严谨数据、文献来源指向及可视化图表的深度研究长文。

Open-source deep research for AI agents: 40 channels, 10+ Chinese sources.

AI assistant built with Streamlit, NVIDIA NIM (LLaMa 3.3:70B) / Ollama, and Model Control Protocol (MCP).

A standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation. Claude Code plugin and MCP server integration.

➡️ Moved to Hivekeep: github.com/MarlBurroW/hivekeep — self-hosted autonomous AI agents. Your AI team. At home.

Unify every AI agent on ONE local shared memory over MCP. Obsidian vault + gbrain (by Garry Tan) + Ollama. 100% offline, $0 API. Orchestrate with OpenClaw or Hermes.

✨ A customizable copilot-instructions.md ruleset & prompts to guide GitHub Copilot toward secure coding defaults in Java, Node.js, C# and Python. Blocks risky patterns, teaches safe habits.

该项目是无人机的租赁系统，也可以是其他的设备、器材租赁，技术栈：Java 21 + Spring Boot 3.5.13 + Vue 3 + Spring AI + MCP + AI Memory，其他的技术栈Dify/Coze、 Python LangChain/LangGraph Agent 。项目是开源的，免费学习的，star支持一下，不断更新中。

Smart multi-agent conversational assistant with LangGraph orchestration, Human-in-the-Loop, enterprise-grade observability, and full i18n support (6 languages)

Operational Database for AI Agents Provide causality lineage, DAG, and State Replay , build to make AI Agents auditable Reliable and EU AI ACT compliant

给 DeepSeek 补上「眼睛和耳朵」的多模态视觉插件：看图 / OCR / 物体检测 / 视频理解 / 语音转写 / 截图直读，一键安装（DSH 插件）。