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.

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

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

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.

Agentic Parallel Development Control Center

AgenticX is a unified, production-ready multi-agent platform — Python SDK + CLI (agx) + Studio server + Machi desktop app. Features Meta-Agent orchestration, 15+ LLM providers, MCP Hub, hierarchical memory, avatar & group chat, skill ecosystem, safety sandbox, and IM gateway (Feishu/WeChat).

The distributed app store for vibe-coded projects. Federated, AI-curated, fully static on GitHub Pages.

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.

Structured context management framework for LLM agents. Implements Git-like operations (COMMIT, BRANCH, MERGE) to manage long-horizon agent memory.

A Python framework for modular, self-contained skill management for machines.

Decentralized execution rails for AI agents. Enables autonomous cross-chain transactions using intents and zkTLS.

🐙 A curated set of Codex and OpenClaw skills for workflow automation, technical debugging, and agent-assisted development patterns.

Workflow Runtime Engine based on CNCF Workflow Specification for Agentic Workflows

Distributed multi-agent research engine with dynamic strategy planning, durable stream-based coordination, and controlled synthesis

MCP local-first CLI tool that converts PRD text files into persistent execution graphs (SQLite) for structured agentic workflows

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

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