Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
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.
Universal AI Tool Orchestrator - Sync skills, MCPs, and memory across Claude Code, Codex, Gemini CLI, OpenCode, OpenClaw...
1. GET ACTIONS: Exposes APIs to fetch the most relevant content from InterviewReady including blogs, resources and course materials. 2.
Total recall for your terminal. Shared memory for your AI agents.
A modular MCP server providing AI-driven vulnerability management skills, including severity classification and automated insights.
Claude Code rewritten in Go.. High-performance AI agent harness runtime in Go. MCP server, CLI tool orchestration, session management, Kiro integration. Single binary, zero dependencies.
combining Claude Code monitoring, Claude Code config management, hooks, agents, and MCP servers in a single 5.8MB binary. 89x faster startup with SQLite cache, 492 tests, 0 clippy warnings.
MCP server to perform various OSINT tasks by leveraging common network reconnaissance tools.
Desktop extension (.mcpb) for Claude Desktop. Single-click install via Settings → Extensions.
Local multi-agent coding orchestrator with 22 pipeline roles, TDD enforcement, SonarQube integration, and automated code review. Supports Claude, Codex, Gemini, OpenCode and Aider.
This project is a for automating and managing interactions on a Facebook Page using the Facebook Graph API.
Open plain-text file format for AI memory. Your assistant's long-term memory as .dai files on your disk: readable by Claude, GPT, Gemini, Cursor, local models and grep (all LLM models work).
Agent Skills
Comprehensive Agents, Commands, Hooks, and Skills for homelab service management - media automation, infrastructure monitoring, document management, and more
File-based multi-agent project workflow for Claude Code and Codex
Most popular OSS agent harnesses (Cline, Roo Code, Continue, OpenCode, Aider) leave on the table because their prompt-caching code is subtly wrong, off-by-default, or just missing for some providers.
"一器而工聚焉者，车为多。" ——《考工记》 两千年前，造一辆马车是最复杂的系统工程：**承载乘者，辕定方向，辐传动力，軎辖为约束——每个构件各司其职，合而为一，车方能行。 今天，构建一个 AI Agent 亦是如此：对话循环为**，工具系统为**，权限管线为**，而将这一切承载于其上、使智能体真正运转的运行时框架—— Agent Harness——正是那个**。
LangChain · LangGraph · Deep Agents Notebooks
PaperSpine is a motivation-driven skill for learning from strong academic papers, building a paper’s central argument, and rewriting manuscripts through evidence-aware blueprints, revision matrices,...
为 AI Agent 生成可持续复用的代码仓库知识库，并提供精准的代码结构查询能力。 Build a persistent knowledge map of any codebase. Query its structure with precision. Every AI session starts smarter.
基于 AI 自动生成高质量 PPT 图片和视频的强大工具，支持智能转场和交互式播放
Turn PDFs, articles, transcripts, and notes into a shared wiki that your AI agents can search, cite, and keep up to date. Add a source once. Ask questions later. Keep the useful answers.
Welcome to New Expensify: a complete re-imagination of financial collaboration, centered around chat. Help us build the next generation of Expensify by sharing feedback and contributing to the code.
A catalogue of — CRUD tables, detail & master-detail pages, kanban, calendar, wizard, charts, billing, RBAC, i18n, and more — that an AI agent into a real back-office.
MIT licensed · Works with Claude Code & Codex · Pure Markdown + two small Python scripts, no dependencies