Cursor Install Guide
AI code editor frequently used with developer-focused MCP servers.
MCP Servers
Persistent, provider-neutral memory for Codex, Claude Code, OpenCode, Pi, and MCP coding agents.
· · · · · academic foundation (KDD 2024, ICLR 2026) · runs in CI/CD, as a Python library, an MCP server, or an Astro integration
MCP Playbooks for AI agents
⚡ — Cross-session orchestration: wake system v2 (dynamic /loop, event watcher, turn-end guard) + targeted sibling-session driving + agent reuse recommendation + context watermark observability.
This is a dnSpy MCPServer Extension for the use of automated AI .NET reverse engineering The \dnSpy\Extensions\Examples\AgentSmithers dnSpy MCPServer.
A working pattern for SSE-based MCP clients and servers
- Getting Started - Install the plugin and wire up an AI assistant (Claude Desktop, Claude Code, GitHub Copilot, OpenAI Codex, Gemini CLI, or a local model).
MCP server for searching and retrieving flight information using Duffel API.
Local-first memory, visualized. 3,800+ entities and 41,000+ connections, captured automatically as you work.
Aleph is an MCP server and skill for (RLMs). It keeps working state — search indexes, code execution, evidence, recursion — in a Python process outside the prompt window, so the LLM reasons...
mcp-name: io.github.king-of-the-grackles/reddit-research-mcp
Every AI can do tax math. None of them can stand behind an answer. Here, real accountants put their on the Guides your AI reads — publicly, on the record, in this repo.
Agent Skills
This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).
A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.
ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...
本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程，致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍，更通过结构化整理与实践引导，深入理解“智能体”（Agent）在现代 AI 系统中的核心作用，掌握构建自主、协作、推理型 AI 应用的关键方法。
橙皮书 (Orange Book) Series · by HuaShu (花叔)