agentic-workflow

The Self-hosted AI Starter Kit combines n8n, Ollama, Qdrant, and PostgreSQL in a preconfigured Docker Compose environment. It provides a quick foundation for local agents, private document summarization, Slack bots, and other low-code AI workflows. On Apple Silicon, Docker cannot use the Mac GPU directly, so users must run the stack on CPU or host Ollama on macOS and connect it to the containers.

This reference architecture shows how to build a Strands Agents chatbot on Amazon Bedrock AgentCore with persistent memory, MCP-connected tools, code execution, browser automation, voice interaction, and A2A delegation to specialist agents. Terraform modules and a working frontend/backend structure make it useful for teams evaluating or extending advanced agent workflows on AWS.

This starter pack combines four standalone 2D and 3D game projects, a bonus isometric-sprite workflow, eight game-development agent skills, and beginner tutorials. Builders can begin with Phaser platformer or tactics examples, Three.js arena and mini-game templates, or the asset workflow instead of starting from an empty folder. The repository root must be opened for the shared skills to be visible to the agent, and some starters—such as the Oak Woods project—require external art assets.

vite-electron-builder is a project template that separates the Electron main process, preload layer, and renderer so developers can pair it with their preferred web framework. Its initialization workflow creates and integrates the renderer, after which the project can run in development or compile distributable applications. Packaging, end-to-end testing, continuous integration, and update workflows are preconfigured, while Node.js capabilities are exposed through preload rather than used directly in the renderer.