MCP Server 排行

Local code search combining BM25, vector similarity, and cross-encoder reranking. Parses 60+ languages with tree-sitter, runs entirely offline, and returns structured results with file paths, line ranges, and symbol metadata. Built in Rust.

Self improving agents through iterations

Durable, file-based long-term memory for AI agents. Five-package plugin family: SDK, CLI, MCP server, Hermes adapter, and a LangGraph BaseStore. No vector database, no embeddings.

The model is the engine; the harness is the car. Curated knowledge on harness engineering — context management, tool design, agent loops, memory, sandboxing, evals. EN/中文

Governance-as-Code for AI agents. Declarative constraints with deterministic enforcement. Provisioning Identity, Tool-based rules, Brokering Credentials & Ensuring safe deployment

Self-hosted AI workspace where chat becomes visual workflows, multi-agent operations, and reviewable automations. Local memory; local or cloud models

The first Task-Aware MCP server and automated VRAM calculator for LLM fine-tuning. Instantly snipe the cheapest, fastest GPUs across 10+ cloud providers.

顺便一提，我们支持 RWKV | 「Intel 2025 人工智能创新大赛」🚀AutoOPS: Provide the chaos brought by language models to the operation and maintenance industry! 🏆使用 LLM 提供的动力实现全自动运维，支持 Windows Server/Linux/macOS/Cisco IOS，可进行全网自动管理，让我们颠覆运维行业【带外管理/自动运维/IoT设备管理/WebHook监控/任意平台/全模态Workflow】

Portable multi-agent AI developer setup for Claude Code + Ollama. Role-based local LLM orchestration via Bash — plan, code, review, commit. Zero Dependency. Works with any language stack.

DeepSeek Harness (DSH) plugin: dispatch work to DSH agents from Claude Code / Codex — native subagent progress, in-host worker sessions with per-tier presets, and a multimodal bridge that lends the text-only harness vision and image generation.

A free, self-paced 24-week AI engineering course: Python, machine learning, LLMs, RAG, fine-tuning, agents and MCP, Azure and Vertex and Bedrock, and Databricks. 43 runnable notebooks, one continuous case study. MIT licensed, no signup. By Zorost Intelligence AI Lab.

Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration

SQLMap with Autonomous AI, phased workflows, RAG memory, and MCP Agent Tools

【AI应用平台】一个AI应用与零代码结合体，旨在帮助开发者快速构建和部署AI 应用和零代码搭建！功能涵盖：AI应用、零代码搭建、AI报表、AI大屏、AI仪表盘、Chat2BI报表

🚀 Way Back Home

Extend the Ollama API with dynamic AI tool integration from multiple MCP (Model Context Protocol) servers. Fully compatible, transparent, and developer-friendly, ideal for building powerful local LLM applications, AI agents, and custom chatbots

chm to markdown and vectorDB

编程导航 2025 年 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽，帮你成为 AI 时代企业的香饽饽，给你的简历和求职大幅增加竞争力。

The local-first sidebar AI agent for ComfyUI — runs on your own Claude OR ChatGPT subscription (no API keys, no extra LLM costs). Drives your live graph: edits, workflows & installs in natural language. The panel UI for comfyui-mcp, the agent-native control plane for ComfyUI.

🛡️ VIPER: Stay ahead of threats with AI-driven vulnerability intelligence. Prioritize CVEs effectively using NVD, EPSS, CISA KEV, and Google Gemini insights, all on an interactive dashboard