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O'Reilly's book AI Agents - The Definitive Guide has had its full companion code released on GitHub — 12 chapters and 35 Colab-ready Jupyter notebooks covering agent fundamentals, multi-agent collaboration, production concerns, and threat modeling, available for free regardless of whether you own the book.
The O'Reilly book 'AI Agents - The Definitive Guide' has open-sourced its companion code, featuring 12 chapters and 35 notebooks covering AI agent development topics with Colab support and a chapter on threat modeling.
Google expert Antonio Gulli has released a book on agent design, available as open source on GitHub. It includes 21 chapters and 7 appendices, with runnable Jupyter code, and all royalties are donated to Save the Children.
Harriet Hacks releases a free GitHub repository containing over 30 Jupyter notebooks and Python scripts for learning AI security interactively, accompanying her book 'Practical AI Security'.
MergeNB is a VS Code extension that provides an intuitive merge conflict resolver for Jupyter notebooks, aiming to improve upon nbdime's bugginess in collaborative research settings.
A hands-on GitHub guide covering 30 runnable Jupyter notebooks on memory patterns for LLM agents, organized into short-term, long-term, cognitive architecture, retrieval, framework, and evaluation/production sections with a decision tree and comparison matrix.
Official source code repository for O'Reilly's book 'AI Agents - The Definitive Guide', containing Jupyter notebooks and utilities for building AI agents.
Think Linear Algebra is a code-first, open-source educational resource that teaches linear algebra concepts using Python and Jupyter notebooks, focusing on practical applications rather than abstract theory.
A GitHub repository containing 30 runnable Jupyter notebooks that comprehensively explain LLM agent memory technologies, from short-term context to production-grade patterns, covering methods like MemGPT, Zep, Graphiti, along with decision trees and comparison tables.