Nicolepcx/ai-agents-the-definitive-guide

Provides executable Jupyter notebooks covering agent architectures (planning, reactivity, multi-agent systems), reasoning mechanisms, tool integration, safety guardrails, and production deployment patterns. Code is organized by chapter with runnable examples in Google Colab, supporting GPU execution for model benchmarking and optimization techniques. Includes utilities for implementing agent systems across domains from foundational LLM concepts through autonomous long-horizon task execution.

127 stars.