Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
An MCP server that queries public SearXNG instances, parsing HTML contents into a JSON result
No Microsoft Graph API, no Entra app registration, no OAuth tokens — just your local Outlook and the authentication you already have.
A self-modifying, self-verifying AI agent with persistent state. Reads its own source code. Plans changes. Tests them in a sandbox before applying.
Please see the updated mcpb format Claude Desktop Extension
The cognitive memory layer for AI agents.
A complete, driver-based RAG (Retrieval-Augmented Generation) pipeline for Laravel. Built on Prism PHP for provider-agnostic LLM and embedding support.
Scan your dev machine for AI agents, MCP servers, IDE extensions, suspicious files, and risky package-manager configs — in seconds.
A single-binary MCP server that connects Claude Desktop and Claude Code to Microsoft Outlook via the Microsoft Graph API.
Agent Skills
Curated resources for building and using Agent Skills.
A curated list of awesome OpenAI Codex plugins, skills, and resources.
Agentic prompt workflows as skills. Works with any agentskills.io compatible AI tool.
- Click "Use this template" above to create your own AI agent harness. After cloning, run bash scripts/setup-template.sh to customize for your project. See TEMPLATE_SETUP.md for details.
Standalone engineering skills for Claude Code and Codex: review, audit, optimization, testing, product discovery, architecture, and safe publishing.
Curated list of 150+ tools, skills, subagents & plugins for OpenAI Codex CLI
前端 · 后端 · 移动端 · DevOps · AI 设计工具 — 生产级品质，独立安装。
Programmatic memory for long-horizon LLM agents: the harness appends everything to one log, and the agent searches it with code. 97.4% on ARC-AGI-3 (arXiv:2607.20064)
A curated collection of for Claude Code and compatible AI coding assistants — (⭐️), (💎), (📣), plus skills.
Expose your local web server to the internet with a public URL.
Skills based on the Layered Rails book and beyond
Lazyweb gives AI coding agents real product screenshots, UI references, and design research workflows before they build or critique an interface.