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
MCP server for Cosense (formerly Scrapbox).
База знаний по zapret2 (DPI bypass) и blockcheckw (сканер стратегий). Работает как MCP-сервер для LLM-агентов и как обычная документация.
Descript MCP plugin for Cursor, Claude Code, and Antigravity — edit video and audio by editing text, from your agent
Open-source metasearch backend for MCP, AI agents, and LLM workflows.
AI assistants struggle with codebase understanding. You get:
MCP server to control Discord — messages, channels, roles, permissions, members, and moderation
Full LinkedIn platform management from your terminal. 43 commands for profiles, posts, messaging, connections, search, feed, engagement, and more — powered by cookie session auth.
agentmako is a local-first codebase intelligence engine for AI coding tools.
Make any project agent-ready with .agents/ directory.
wp-devdocs-mcp is a local MCP server that indexes every action, filter, block registration, and JS API call from WordPress, WooCommerce, Gutenberg, or any plugin you work with.
C++17 端到端智能语音对话系统，集成 ASR（语音识别）、LLM（大语言模型）、TTS（语音合成）、VAD（语音活动检测）和 AEC（全双工回声消除）。
Your agent starts every session as a stranger. Bolting a vector store onto it doesn't fix that: nothing is ever forgotten, near-duplicate memories pile up, and two contradictory facts come back...
Agent Skills
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...
Adala is an **utonomous **ta (**abeling) **gent framework.
Beautiful UI components built for Better Auth.
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
Your AI skills and agents, finally organized.
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.
本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。
A collection of AI agent skills focused on resume optimization, job applications, and career development.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!