Production Claude Code skills for n8n from a Verified Creator's 100+ workflows

Multi-Agent + Automation: Workflows, Automation, Self-Improving Agents

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Convert N8N agent / workflow into MCP servers, you can use it in Claude / Cursor / Super Chain

Turn product ideas into production launches with Spec-Driven Development. Repeatable Claude Code workflows with quality gates, token budgets, and auditable artifacts.

Bring Claude Code, Codex, and your favorite CLI agents into one visual workspace. Run agents in parallel and build executable workflows in isolated Git worktrees. Build your own AI coding team, and turn builds, tests, and dev servers into reusable canvas workflows.

The first open-source agent skills builder. Define skills by vibe workflow, run on Claude Code, Cursor, Codex & more. Build Clawdbot 🦞· APIs for Lovable · Bots for Slack & Lark/Feishu · Skills are infrastructure, not prompts.

Workflow orchestration for AI coding agent swarms, from task to merged PR.

Workflow for AI Agents enables automated conversion of CAD files (such as `.rvt`, `.ifc`, `.dwg`) using command-line converters on a local Windows machine

High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.

A collection of structured AI agent skills that enable Claude Code, Cursor, GitHub Copilot, and other AI coding assistants to create, operate, debug, and govern Harness CI/CD workflows through natural language.

MCP server that exposes YepCode processes as callable tools for AI platforms. Securely connect AI assistants to your YepCode workflows, APIs, and automations.

A specialized server implementation for the Model Context Protocol (MCP) designed to integrate with CircleCI's development workflow. This project serves as a bridge between CircleCI's infrastructure and the Model Context Protocol, enabling enhanced AI-powered development experiences.

Build agentic systems. Run them with confidence. Orchestrate agents, automate business processes, inspect every execution, and keep humans in control. Deploy Heym on your own infrastructure.

Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar

oly turns long-running and interactive CLI workflows into persistent, supervised sessions for humans and AI agents. Close the terminal, keep the process alive, get notified when input is needed, and jump back in from anywhere.

A structured 3-agent AI dev team — Architect, Builder, Reviewer. Built from production use. Token-optimized. Works with Claude Code, VS Code, Cursor, and any AI that supports context files.

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

Deploy production-ready AI services in minutes. One YAML file for agents, RAG pipelines, and MCP servers — run anywhere. Inspired by docker-compose.

One-stop shop for building AI-powered products and businesses with Stripe.

Plugin for Butterbase.ai

Open source MCP Servers for AWS

Official Pulumi Agent Skills for writing, migrating, and operating infrastructure with AI coding agents

A Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.