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
This repo provides a reference implementation for creating a remote MCP server that supports the Streamable HTTP & SSE Transports, authorized with OAuth based on the MCP specification.
Local-first persistent memory for Claude Code & Codex CLI - Rust CLI, hooks, MCP server, SQLite/SQLCipher, auditable recall for long-running coding work.
This MCP server connects your AI agent to — Google's creative suite for image and video generation. Your agent can:
MCP server for FreeCAD — 32 tools for AI-assisted 3D CAD modeling
furi is an easy to use, CLI & API for MCP management.
Agent Skills
默认启用 26 个数据源 · LLM 摘要 · 21 个股票/加密标的** · 中英双语 · 6 个 LLM 后端可选。 ： · · 。
Science is dying because the human is in the way. Not through malice. Not through stupidity. Through the structural limitations of a cognitive architecture that evolved to track prey on a savanna,...
Make AI coding agents remember your project between sessions.
Yet another coding agent harness, lightweight and written (vibe-slopped) in go.
A Next.js + TypeScript + vanilla-CSS component library from the Internet Development Studio Company. It's a precise wireframe system — every pixel, token, and transition is deliberate — and it's...
OpenAI Codex CLI 0.128 introduced /goal — a persistent agent objective with runtime audit, token budget, and a soft-stop state machine. It can drive a single task for .
Watchmen turns every coding session into the skill bundles you’d never sit down and write yourself.
Drop articles, notes, PDFs, or Reddit threads into a folder. Your AI reads everything, builds a structured wiki with cross-references, detects contradictions between sources, and keeps it all up to...
A file-backed, spec-driven workflow for building real software with AI while staying in control.
让 AI 编码助手可靠地写嵌入式固件的开箱即用工程框架。 AI 写嵌入式三宗罪：乱猜引脚、上下文断档、空口宣称修好。auto-embedded 一条命令装进你的固件工程——强制五阶段流程、冻结的硬件资源表、落盘的任务记忆、编译/烧录/调试工具技能、80+ 篇离线嵌入式知识库——一次接线，7 个 AI 平台同时生效。
Honey (I Shrunk the AI) by GreenPT is a cross-tool coding skill that cuts AI coding-agent token usage and LLM API costs — making agents emit less code and less prose without losing correctness.
终端里起多个会话并行干活、互相通信；长任务跑着的时候人走开了，也能从微信/企微把它喊回来。