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
A secure Windows SSH workspace and MCP server for Codex, Claude Code, Cursor and other AI agents.
Use ChatGPT Developer Mode as a local coding agent for your repo through MCP.
a lib to build MCP clients and MCP servers in Clojure(script)
泪心UE4Dump逆向分析MCP工具
个人知识库 MCP 服务器 — 对本地文档建立索引，并提供一组飞书 API 工具，通过 MCP 协议供 AI 客户端访问。
Use Devnors Data from Python with one API Key.
Fictional concept interface—not an actual Codex UI or a measured context, token, speed, or latency benchmark.
You built an agent. Now you need to tune the prompt. Swap the model. Restrict access for specific users. Figure out what it's actually costing you.
Intercept AI requests, track usage, inject MCP tools centrally
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.
1. GET ACTIONS: Exposes APIs to fetch the most relevant content from InterviewReady including blogs, resources and course materials. 2.
Build WordPress sites with your AI
Agent Skills
This repository provides a collection of composable Dockerfiles and build scripts for deploying and running software, full applications, and select demonstrators on AMD Ryzen AI hardware.
🧬 Darwinia Give your AI agent the power to evolve its own trading strategies. Trading agents that discover strategies through Darwinian selection and adversarial self-play — not human-written rules.
Why use many token when few token do trick?
小提示：导入数据时**，尽量不要用 JSON——多数微信导出工具的 JSON 是给 LLM 微调用的格式，没有时间戳，跑不出 K 线。详见 输入格式。
—— 一套可被任意 AI agent（Claude / GPT / Cursor…）使用的**。
面向 AI Agents 的安全、可持久化沙箱执行平台（Secure, Persistent Execution Platform for AI Agents）
Your future self will thank you. Or blame you. It depends on the diff.
TL;DR: Thea brings coding agents to the physical world.
A Claude Code plugin that audits your mobile app against store review policies — the store rejects it.
A grab-bag of experimental transformer kernels and utilities (mostly PyTorch + Triton).
10 agentes (8 de núcleo, Selina si hay frontend y Lucius bajo demanda), catálogo de 11 skills de proceso, memoria persistente de decisiones por proyecto, 6 flujos de trabajo con quality gates...
Most research-idea workflows fail in one of three ways: