Collection of n8n workflows, n8n templates, AI automations, and AI agents created for The Recap AI YouTube channel and the AI Automation Mastery free Skool community.

Build and run AI agents using Docker Compose. A collection of ready-to-use examples for orchestrating open-source LLMs, tools, and agent runtimes.

A lightweight workflow engine

Discovery Protocol

Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agnostic, event-driven, with multi-agent workflows, MCP tool discovery, and production-grade observability.

Awesome Agentic AI Learning Resource by DevKay is a curated roadmap for mastering Agentic AI—from ML foundations to production-ready agents. Features a 0–12+ month path, hands-on projects, top resources, agent architectures, and tools like LangChain and AutoGen.

This comprehensive course teaches students how to build, deploy, and manage autonomous agents for enterprise workflows using the Swarms library. Students will learn to create robust, scalable agent systems that can handle complex business processes, integrate with existing tools, and maintain long-term memory.

Workflow Runtime Engine based on CNCF Workflow Specification for Agentic Workflows

Production-ready Agentic AI ChatBot using Llamaindex and Groq-Llama 3.3

Runtime provenance for AI and scientific workflows—capture, enrich, and query workflow data via observability adapters and code annotation across edge, cloud, and HPC.

Deploy Your Swarm In One Click with FastAPI, Uvicorn, and more ;)

This project is a multi-agent customer service chatbot designed for an e-commerce platform. The chatbot employ specialized agents handle distinct tasks to ensure efficient and accurate interactions. The chatbot aims to enhance user experience by streamlining order processing, answering FAQs, and providing personalized recommendations.

Agentic Patterns 101 with Loka & Strands-Agents (AWS)

Master AI Challenge is a repository with two hands-on coding challenges focused on Artificial Intelligence and automation. Designed for learners and developers, these challenges aim to strengthen skills in Python, Shell scripting, data processing, and workflow automation. Fork the repo, solve the challenges, and enhance your AI and coding expertise

Script workflow management via MCP. Converts AI workflows to persistent scripts, reducing tokens & delays while minimizing hallucination risks.

一个将自然语言转化为可执行工作流的 Agent. A workflow agent that turns natural language into executable workflows.

MXP Protocol Platform Agents runtime

Multi-Agent Creative Collaboration with AutoGen

5-Day Hands-on AI Agents Course using Google ADK & Vertex AI | From first agent to production deployment

Portfolio for AI-Orchestrated Application User-Interface Design Generation at Scale