Cursor 安装指南
常与开发类 MCP Server 搭配使用的 AI 代码编辑器。
MCP Servers
Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Copilot, Kiro,...
This repo contains the source code for running an MCP server that interacts with the Google Ads API.
MCP server to deploy apps to Cloud Run
🦉 Augur — 本地优先的投资研究记忆系统：18 位投资大师独立分析 + 加权共识，证据带时间语义、每次运行可复查，CLI / Dashboard / MCP。A local-first research memory system with 18 investor personas.
MCP Server for Turkish & American Stock Exchange and Fund Data
Talk to a Cloudflare Worker from Claude Desktop!
🧠 Self-Reflecting AI Queries → MCP Protocol Integration → Intelligent Vulnerability Scanning
Pre-build reality check for AI coding agents. Scans GitHub, HN, npm, PyPI, Product Hunt. MCP server. 290+ stars.
LLDB MCP Integration + other helpful commands
Self-hosted URL-to-Markdown service for humans and AI agents.
A fully self-hosted AI agent built on n8n + PostgreSQL + Claude. Talks to you via Telegram or HTTP API (Slack, Teams, custom apps), builds its own MCP tools, manages reminders and memory — all...
Your agents forget everything between sessions. MemMesh gives them durable, typed, searchable memory that lives on your machine — no vector database, no search cluster, no mandatory LLM calls.
Agent Skills
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...
Adala is an **utonomous **ta (**abeling) **gent framework.
Beautiful UI components built for Better Auth.
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
Your AI skills and agents, finally organized.
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.
本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。
A collection of AI agent skills focused on resume optimization, job applications, and career development.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!