Cursor インストールガイド
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
Self-hosted, agent-native web app and MCP server for your Obsidian-style Markdown vault. Browse, search, and edit notes from a fast UI or from AI agents.
Use Devnors Data from Python with one API Key.
The enterprise-grade TypeScript framework for building production-ready MCP servers. Decorators. Dependency Injection. Widgets. One framework to ship AI-native backends.
An MCP server that connects to a Swagger specification and helps an AI to build all the required models to generate a MCP server for that service.
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
A progressive AI Agent Harness tutorial written in Rust.
A starting point for Claude Code to Codex collaboration
The purpose of the repo is to teach you how to make MCP servers. The target audience are non-technical with no real coding experience.
Persistent, local, cross-IDE memory for AI agents — markdown source of truth, LanceDB-powered semantic search, zero cloud dependency
MCP server for FreeCAD — 32 tools for AI-assisted 3D CAD modeling
Run it before Claude Code, Cursor, Windsurf, Cline, OpenCode, or another agent trusts new code, tools, prompts, or dependencies.
Installing MCPs is a huge pain, so I made a CLI tool to make it easier.
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。