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
MCP server that gives any LLM its own computer — managed Docker workspaces with live browser, terminal, code execution, document skills, and autonomous sub-agents.
Specialized bridge designed to connect LLMs and AI agents directly to Siemens SIMATIC TIA Portal V21.
Local-first knowledge compiler for humans and agents. Inspired by Karpathy's vision. Plain markdown, CLI + MCP server.
Local macOS control server for MCP clients and Custom GPT Actions
Git-native API client with encrypted secrets.
Secrets management for AI agents via MCP • @janeesecure
Reliability gateway for AI tool output: schema-stable, secret-safe, pagination-complete JSON for MCP and CLI agents.
A self-modifying, self-verifying AI agent with persistent state. Reads its own source code. Plans changes. Tests them in a sandbox before applying.
Four small MCP tools that let apfel (Apple's on-device LLM) reach the web and read local files: url-fetch (read a page), ddg-search (web search), search-and-fetch (search+read in one call), fs...
Add vision to text-only models in Opencode (, ) — , no manual file saving.
This project is . Please provide feedback via GitHub issues.
An MCP server that provides access to LLMs using the LlamaIndexTS library.
Agent Skills
Build — on any framework, on any surface.
A curated collection of production-ready Hermes Agent skills — brainstorming, PRD workflows, debugging, Apple integrations, MLOps, document processing, and more.
"ClawTeam: Agent Swarm Intelligence" (One Command → Full Automation)
Effortlessly compose, extend, and observe every service in real-time for the first time ever.
CyberSkill's AI-native internal operations platform. 26 federated modules, 244 agent Skills, 224 CUO workflows, 48 C-roles, 606 tasks.
Blocks specific sites from appearing in Google search results
autonomous harness engineering
A self-hosted AI gateway with a general-purpose agent at its core.
My goto template for rust projects, with pre-commit, gh action for CI and cursor rules for vibe coding!
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这个仓库源于我使用 Codex 的日常需求。写论文不是单点任务，而是一条从构思、实验、写作、审稿到 rebuttal 的长链路；每一步都需要 AI 有边界、有证据、懂学术表达。因此这个仓库把 组织成当前 7 个模块、27 个可触发 Skills：
Know How Guide and Hands on Guide for AWS