Cursor Руководство установки
AI-редактор кода, часто используемый с developer MCP.
MCP Servers
Persistent memory system for agentic AI via MCP - remember, recall, forget with semantic search with knowledge graph
The cognitive memory layer for AI agents.
SpringAI和SpringAI-alibaba都发布了最新依赖稳定版本（之前基于快照版本需要设置Repository 如今已经不需要设置），如果遇到依赖下载不下来请按照最新的官方文档修改依赖版本，官网快照版本更新很快可能出现API冲突的情况 请以最新版本的API设计为准 推荐参考文档：https://java2ai.com/docs/1.0.0.
MCP Fundamentals 🧱 Meet users in the AI apps they already use Your users are increasingly getting accustomed to using natural language to communicate with AI apps like ChatGPT, Claude Desktop, and...
MD2Card Markdown 转知识卡片 将 Markdown 文档转换为精美的知识卡片，支持多种风格
PiloTY: AI pilot for PTY operations via MCP - enables AI agents to control interactive terminals like a human
MCP server for flyonUI
Local-first persistent memory for Claude Code & Codex CLI - Rust CLI, hooks, MCP server, SQLite/SQLCipher, auditable recall for long-running coding work.
Power your chat with B2B data to create lead lists, research companies, personalize your outreach, and more.
本项目面向** —— 如果你的 AI 伴侣住在 rikkahub 之类的 MCP 客户端里，本服务可以让 TA 真的"触碰"到你：通过 MCP 协议一句话控制你手里的 智能玩具。
开源金融数据 MCP / HTTP 服务，面向 AI Agent、量化脚本和普通后端集成。
Headless Blender automation via FastMCP — 41 portmanteau tools (150+ ops). Batch mesh/VSE/Grease Pencil, VRM, Gaussian splats; optional live bridge. For Cursor / Claude Desktop.
Agent Skills
A Copilot CLI skill that analyzes your repository and generates the configuration files AI agents need to contribute correctly.
用最少的提示词，识别并去除中文 AI 写作痕迹。
One command drops a tested, versioned skill into your agent. No more ad-hoc prompts. The same rigorous steps run every time.
A comprehensive collection of agent-optimized skills for AI coding assistants working in the LangChain ecosystem.
Practices, protocols, and skills for AI-driven software development
Visit the interactive documentation at: https://dmccreary.github.io/ibook-skills/
Multi-harness control protocol that turns requests into approved design contracts, orchestrating isolated worker sessions for sequential implementation and independent code reviews under Orca...
专为 优化的 Codex skill，大幅降低 token 消耗并提升前缀缓存命中率。
AI Unified Process (AIUP) is a requirements-first workflow for taking software from a product vision to reviewed specifications, implementation, and traceable tests.
git checkout for releases that span many repos. Version tags that restore your whole product. No server, no database, any language.
Agent-native persistent knowledge management — compile knowledge once, query forever.
The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...