vibejam-starter-pack

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 workflow starts each task by defining the project’s architecture, stack, and constraints, then moves through problem analysis, research, solution options, design, verification, implementation, QA, and retrospective. Its skills can be installed into Claude or Copilot user scope, with shared project instructions and a design.md handoff connecting planning to build.

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.