Guide for artificial intelligence agents
This open source book on artificial intelligence agents (AI agents) comprehensively covers design principles and engineering applications. In addition to theoretical information, it includes application codes divided into sections and compiled PDF files.
Updates
- September 15, 2026: Stars 44,884 → 47,379.
- September 6, 2026: Stars 42,709 → 44,884.
- August 27, 2026: Stars 39,686 → 42,709.
- August 20, 2026: Stars 37,602 → 39,686.
What you get
- Learn the working principles of artificial intelligence agents
- Gain practical skills with hands-on code examples
- Explore agent design and engineering processes
Installation
cd book && bash build_pdf.shIf you don't write code
You are an artificial intelligence agent development expert. Explain me step by step how to set up an agent's memory system and integrate external tools (tool calling), based on the formula 'Agent = LLM + Context + Tools'. Explain with examples which engineering approaches I should use to optimize context management, especially in RAG (Retrieval-Augmented Generation) processes.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-07-20: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.