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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Repo for AI Agents The Definitive Guide
| Date | Stars |
|---|---|
| 2026-07-31 | 901 |
| 2026-08-01 | 903 |
| 2026-08-06 | 903 |
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# AI Agents - The definitive Guide
This is the corresponding code for the book AI Agents - The Definitive Guide
the book can be found [here](oreillymedia.pxf.io/POEx4e) and on [Amazon](https://www.amazon.com/Agents-Definitive-Deployment-Evaluation-Production/dp/B0GTYKTZHG/ref=sr_1_1?crid=3IKPXNW1IGD7V&dib=eyJ2IjoiMSJ9.n6XdCRmcIshseCli02TdjNbRQDKjQdxsP1qL6u931_bI2BtpzIRu5R9-o2YkOb_vzPUHPjhf4OoJU0trC-J3JmVQq6-SPw_ESya-oNpS-KR_8Z9BT3OiAZtJrwvA-MietSkrVBlK-0fs_pKJ5lgNNlF_oAxQYPzMOHeovQXa2dXt5D3LlnrVrZp_ZOQSQpMBJMGXrVKT4FSwOqW4ioOEhymB94LPQi3W15wVpSjkftM.tvvAb5_XOOez9Drd930kMnl_WBhjvEhzEp1C9miRRSc&dib_tag=se&keywords=ai+agents+the+definitive+guide&qid=1782032850&sprefix=ai+agents+the%2Caps%2C232&sr=8-1). The book has an [accompanying website](https://ai-agents-the-definitive-guide.com/) with quizzes and additional material, as well as a [Discord channel](https://discord.gg/pqeHTvzdhJ).
## TOC
- Chapter 1 From LLMs to Agents: The Foundational Blueprint
- Chapter 2 Architectures and Patterns: Planning, Reactivity, and Multi-Agent-Systems
- Chapter 3 Advanced Planning, Reasoning, and Scalable Execution in Agents
- Chapter 4 Models Behind the Agents: Capabilities and Optimization
- Chapter 5 From Prototypes to Production: Contracts, Tools, and Reliable Execution
- Chapter 6 Secure Execution and Tool Governance
- Chapter 7 Deploying Agents in Real Products
- Chapter 8 Foundational Evaluation and Operational Observation of Agentic Systems
- Chapter 9 Customized and Advanced Evaluation of Agentic Systems
- Chapter 10 Agent Memory: How Persistence Turns Agents Into Evolving Systems
- Chapter 11 From Compute to Cost: Designing Efficient Agentic Systems
- Chapter 12 Threat Modeling for AI Agents
## Instructions and Navigation
All of the code is organized into folders. Each folder starts with `CH` followed by the chapter number. For example, CH01.
The notebooks are then organized as follows: `ch01_attention_mechanism_variations.ipynb`, where `ch01` indicates the chapter
and `attention_mechanism_variations` what is done in the notebook.
## Repo structure
```
├── LICENSE
├── README.md <- The top-level README for developers using this project.
├── CH01 <- Per chapter folder with Jupyter notebooks.
├── [name].ipynb <- Jupyter notebooks with naming as mentioned above.
├── CH02 <- Per chapter folder with Jupyter notebooks.
... <- Same structure for all chapters.
├── utils <- Custom classes and functions and utility functions.
├── resources <- Some miscellaneous resources.
```
## Running the Notebooks
Every notebook can be opened and run on Google Colab directly from the links below. Just click the **Open In Colab** badge next to the notebook you want to run.
### Chapter 1 — From LLMs to Agents: The Foundational Blueprint
| Notebook | Colab |
|---|---|
| Code Examples | [](https://colab.research.google.com/github/Nicolepcx/ai-agents-the-definitive-guide/blob/main/CH01/ch01_code_examples.ipynb) |
### Chapter 2 — Architectures and Patterns: Planning, Reactivity, and Multi-Agent-Systems
| Notebook | Colab |
|---|---|
| Chain-of-Thought (CoT) | [](https://colab.research.google.com/github/Nicolepcx/ai-agents-the-definitive-guide/blob/main/CH02/ch02_CoT.ipynb) |
| Tree-of-Thought (ToT) | [](https://colab.research.google.com/github/Nicolepcx/ai-agents-the-definitive-guide/blob/main/CH02/ch02_ToT.ipynb) |
| ReAct | [
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:2aae116f22945056, topic:ai-agents, topic:agents, topic:multi-agent-systems