// AIPACK ZERO-TO-MASTERY GUIDE

Discover AIPack, an open-source agentic runtime for building, running, and sharing AI agents. Learn installation, core concepts, and create your first …

Prepare your system for AI agent development with AIPack. This guide covers Python, AIPack CLI, Ollama for local models, and VS Code setup for an …

Dive into AIPack by building your very first AI agent. Learn about the structure and purpose of .aip files, define multi-stage markdown agents, and …

Learn how to design and implement multi-stage markdown agents using AIPack, leveraging Lua for dynamic control flow and building robust AI workflows.

Discover how to integrate Lua scripting into your AIPack agents to build dynamic, decision-making workflows. This chapter covers Lua basics, control …

Learn how to connect your AIPack agents to various AI models, including local setups with Ollama and popular cloud provider APIs, for powerful agentic …

Optimize your AIPack development using VS Code's agent customizations and the Multi-Agent Communication Protocol (MCP) for enhanced debugging and …

Explore how to build complex AI agents by composing smaller, specialized agents and creating reusable skills with AIPack's modular architecture.

Master context control in AIPack to manage AI agent memory effectively, especially when working with large codebases. Learn RAG, chunking, and dynamic …

Master debugging, optimizing, and preparing your AIPack AI agents for reliable, cost-effective production deployment. Learn about MCP server insights, …

Build an AI-assisted Python debugging agent with AIPack. Learn to integrate AI into your debugging workflow, leveraging MCP and multi-stage agents to …

Master best practices for designing, developing, debugging, and sharing robust, production-ready AI Packs using AIPack, focusing on modularity, …