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.

Use sidecar next to CLI agents for diffs, file trees, conversation history, and task management with td

A lightweight workflow engine

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.

Discovery Protocol

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.

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.

Workflow Runtime Engine based on CNCF Workflow Specification for Agentic Workflows

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.

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

Autonomous AI Agent for the JVM: shell, files, google search, runs any LLM generated java code on the jvm itself. JIT compilation and a child-first classloader with ANY classpath. Comes wit a swing GUI , can be "dropped in" into any existing java application. Easy tools easy pojos. IoT devices. Run it standalone for a pure-java AI assistant.

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

The Universal Agent Interoperability Protocol: The TCP/IP of the AI Economy

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.

The production-ready standard for async agent orchestration. Stateful and MCP-compliant communication for distributed AI workflows.

A structured data reader and writer like 'jq' and 'yq' for AI Agents

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

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