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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers

MikroTik MCP provides a bridge between AI assistants and MikroTik RouterOS devices. It allows AI assistants to interact with MikroTik routers through natural language requests, executing commands...

mcp-name: io.github.king-of-the-grackles/reddit-research-mcp

This is a dnSpy MCPServer Extension for the use of automated AI .NET reverse engineering The \dnSpy\Extensions\Examples\AgentSmithers dnSpy MCPServer.

- Getting Started - Install the plugin and wire up an AI assistant (Claude Desktop, Claude Code, GitHub Copilot, OpenAI Codex, Gemini CLI, or a local model).

is open-source AI teammate infrastructure for . Connect company tools once, then let ChatGPT, Claude, Codex, and custom agents work from the same durable organizational memory — with scoped...

Aleph is an MCP server and skill for (RLMs). It keeps working state — search indexes, code execution, evidence, recursion — in a Python process outside the prompt window, so the LLM reasons...

Every AI can do tax math. None of them can stand behind an answer. Here, real accountants put their on the Guides your AI reads — publicly, on the record, in this repo.

One command. Full visibility. Read-only.

Prerequisite: first, make sure you have the Readwise MCP server or CLI installed (whichever you prefer!)

Unlike cat videos, most data are trapped in the physical world. Bagel unlocks them and —just like you do with ChatGPT. For example:

一个本地优先的 AI 知识库系统(RAG),用于将本地文档接入向量检索与大模型对话流程。项目提供 Web UI,支持知识库管理、文档上传、检索增强问答、聊天记录持久化,以及基于 Ollama 或 OpenAI 兼容接口的模型接入。

General-purpose MCP bridge for Ableton Live
Agent Skills

Agent Harness · Spring Boot inside · One JAR to ship

Pure python3 implementation for working with iDevices (iPhone, etc...).

从多项目日常使用中提炼的 Claude Code 工作流模板——涵盖记忆管理、上下文工程与任务路由。

An open-source biomedical AI research assistant built on OpenClaw and Claude Code, integrating 140 K-Dense Scientific Skills for bioinformatics, drug discovery, clinical research, and more.

dotagents One canonical .agents folder that powers all your AI tools.

This repository contains hands-on tutorials for learning LangChain, LangGraph, and Deep Agents, organized into two learning tracks:

A self-improving product system that reads daily reports, identifies the #1 actionable priority, and autonomously implements it.

Modern agents are not "a prompt + a tool." They are — with identity, memory, skills, tools, MCP integrations, guardrails, observability, evals, and a provider strategy.

Analysis, Comparison, Trends, Rankings of Open Source Software, you can also get insight from more than 10 billion with natural language (powered by LLM). Follow us on Twitter: https://twitter.

Platform design skill pack: 450+ rules for Apple HIG, Material Design 3, and WCAG 2.2 across iOS, iPadOS, macOS, watchOS, visionOS, tvOS, Android, and Web.

The practical guide to building AI agent harnesses — with real code examples you can copy and run.

本书围绕 DeerFlow 2.0,从理论到源码,系统讲解如何进行二次开发。 所有代码示例均基于真实源码,确保与 DeerFlow 实现保持一致。