Claude Desktop Руководство установки
Десктопный клиент с поддержкой локальной конфигурации MCP.
MCP Servers
MCP server for interacting with Apache Superset, enabling AI agents to connect to and control a Superset instance programmatically.
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。
Persistent memory system for agentic AI via MCP - remember, recall, forget with semantic search with knowledge graph
IGraph 把代码仓库解析为「符号节点 + 调用关系边」的知识图谱，叠加 LLM 语义摘要与向量索引，通过双通道（Dense + FTS5）RRF 融合检索对外服务。支持挂载 PRD / DB Schema 等多模态资源建立跨模态关联，内置 MCP Server 可直接接入 Cursor / Claude Code 等 AI 助手。
Use any MCP server or HTTP API as a standard CLI command. A lightweight daemon + CLI that turns remote MCP tools and configured HTTP endpoints into native shell commands your agent or script can call...
Open-source SAST engine that traces vulnerabilities across files and functions
A CLI tool for managing MCP servers configurations for MCP clients.
Linked API MCP server connects your LinkedIn account to AI assistants like Claude, Cursor, and VS Code.
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.
A progressive AI Agent Harness tutorial written in Rust.
The cognitive memory layer for AI agents.
directory for Awesome MCP Servers
Agent Skills
A practical Claude Code guide with clear mental models and copy-paste examples — setup, prompt engineering, slash commands, skills, hooks, subagents, agent teams, and MCP servers.
Cursor plugin specification and official plugins
Collection of Apify agent skills
Provider-neutral Agent Skill for Codex, Claude Code, and agentic harness design.
-- Only 1.6% of Claude Code's codebase is AI decision logic. The other 98.4% is deterministic infrastructure -- permission gates, context management, tool routing, and recovery logic.
Open-Source Multi-Agent AI Assistant — Not Just Chat, an AI Team That Gets Things Done
10 design principles for building agent-ergonomic apps.
Build tested agent skills and govern their lifecycle through a user-defined marketplace: evidence, discovery, updates, rollback, quarantine, and 17-platform distribution.
Review pull requests for bugs, risky changes, missing tests, and release notes.
Nothing is more valuable than time and money. In a world of AI agents, that's speed and token spend. A well-designed CLI is muscle memory for an agent: no hunting through docs, no wrong turns, no...
Planby is a React based component for a quick implementation of Epg, schedules, live streaming, music events, timelines and many more ideas.
Hivemind turns your traces into reusable skills across agents