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.

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

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

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.

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

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.

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.

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

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

Standard protocol for agent-to-agent communication with stateful orchestration, MCP-compatible and a public marketplace to discover and register agents.

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