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
Опубликовано на Infostart: https://infostart.ru/1c/tools/2720241/
A progressive AI Agent Harness tutorial written in Rust.
Installing MCPs is a huge pain, so I made a CLI tool to make it easier.
Knowledge graph + MCP tool server for LLM agents with hybrid retrieval, live DB sync, Korean FTS, and memory feedback.
A starting point for Claude Code to Codex collaboration
IDE-style navigation for structured data — code, JSON, YAML. Jump to definitions, find callers, follow references. Available as an MCP server or a mounted folder.
- — MCP Protocol v2 (spec revision 2026-07-28, streamable HTTP) and experimental StrongDM API support are here — see the release notes.
Local-first memory layer for CLI agents. Indexes Claude Code, Codex CLI, and Cursor session histories into SQLite + FTS5 — searchable from a CLI, TUI, or MCP server so your next agent session can...
Agent-managed GitHub merge queue for Codex, Claude Code, Cursor, and MCP clients
Self-hosted audit trail for AI agents — one command or one dashboard click from any step back to root cause.
Every local AI coding session in one tab: Claude Code, Codex and OpenCode in a single list, with a queue you can schedule and isolated Claude Desktop instances kept apart. Local, private, MCP-native.
Testing and evaluation platform to chat, inspect, and debug MCP servers, MCP apps, and ChatGPT apps.
Agent Skills
本仓库是基于 WorkBuddy / Claude Code / Cursor 等 AI Agent 的**。每个 Skill 是一个自包含文件夹，包含 SKILL.md（Agent 执行指令）、README.md（人类文档）、references/（Prompt 参考）和 assets/（模板 HTML）。
这是 codex-windows-fast-patch skill 的公开版本，用于让支持 Agent Skills 的智能体修复 Windows 版 Codex Desktop 更新后常见的功能失效问题。
🌳 A type-safe HTML template engine for Python. Build dynamic web pages using Python components with a React-like approach.
A collection of AI agent skills useful for projects using the Kotlin language. Skills are following the Agent Skills standard, see agentskills.io for more information.
PPT Agent 基于软件工程理念的演示文稿全自动生成框架 English | 中文
a desktop app for getting work done with any model
Building a domain-specific enterprise agent from scratch is complex and requires significant effort: agent and tool orchestration, planning logic, safety and alignment policies, evaluation for...
— This project is in early development. APIs and skill content may change.
The trust layer for agent-to-agent commerce — natural-language mandates, ERC-7710 delegated permissions, x402 payments, escrow, and dispute resolution as one open, catch-all Agent Skill / Claude Code...
Add both Manim skills to your AI agent instantly:
Write a SKILL.md, drop in some evals, and find out — empirically — whether your skill actually makes the model better at the task.
“论文不是把字堆满，而是把项目事实、样文规范、图表截图和 Word 交付一次性闭环。”