Discover AIPack, an open-source agentic runtime for building, running, and sharing AI agents. Learn installation, core concepts, and create …
AIPack Zero-to-Mastery Guide
Master AIPack from installation to production. Learn architecture, multi-stage agents, Lua logic, local/cloud models, VSCode workflows, and real-world AI-assisted engineering.
Prepare your system for AI agent development with AIPack. This guide covers Python, AIPack CLI, Ollama for local models, and VS Code setup …
Dive into AIPack by building your very first AI agent. Learn about the structure and purpose of .aip files, define multi-stage markdown …
Learn how to design and implement multi-stage markdown agents using AIPack, leveraging Lua for dynamic control flow and building robust AI …
Discover how to integrate Lua scripting into your AIPack agents to build dynamic, decision-making workflows. This chapter covers Lua basics, …
Learn how to connect your AIPack agents to various AI models, including local setups with Ollama and popular cloud provider APIs, for …
Optimize your AIPack development using VS Code's agent customizations and the Multi-Agent Communication Protocol (MCP) for enhanced …
Explore how to build complex AI agents by composing smaller, specialized agents and creating reusable skills with AIPack's modular …
Master context control in AIPack to manage AI agent memory effectively, especially when working with large codebases. Learn RAG, chunking, …
Master debugging, optimizing, and preparing your AIPack AI agents for reliable, cost-effective production deployment. Learn about MCP server …
Build an AI-assisted Python debugging agent with AIPack. Learn to integrate AI into your debugging workflow, leveraging MCP and multi-stage …
Master best practices for designing, developing, debugging, and sharing robust, production-ready AI Packs using AIPack, focusing on …