There are three chapters in Early Release on the O’Reilly Platform (Intro, Memory, and Tools): learning.oreilly.com/library/view...

And here you have it! The cover of our “An Illustrated Guide to AI Agents” book!

Why a Dolphin? The process of choosing cover animals is a closely guarded secret held deep within the legendary halls of O'Reilly. @Jay and I do not get to choose it, but we love it!

The first two chapters are in early release: learning.oreilly.com/library/view...

Contest Rules 2:
* 7 lucky winners will receive digital copies of the book.
* We will close the contest on Monday 24th of November and share the cover!
* TIP - You can find all existing O’Reilly animal covers here: www.oreilly.com/animals.csp

Contest Rules 1:
* Each participant is allowed two guesses
* 3 lucky winners will be randomly selected from those who guessed correctly to receive a free print copy of our book when it hits the shelves (note: we cannot ship to Russia or Ukraine)

You should be able to access it through the platform. I believe even if you do not have a subscription, but I'm not sure 😅

www.oreilly.com/library/view...

@jayalammar.bsky.social and I cover memory (including context engineering) and tools (including MCP) in these chapters, along with many, many visuals. Every so often, we will release a new chapter and show you how they all fit within the framework(s) of AI Agent(s).

Building off the book's foundation, we created enough content to hopefully keep you busy for a while:

github.com/HandsOnLLM/H...

www.youtube.com/watch?v=BDTV...

You can find the full changelog here: github.com/MaartenGr/BE...

I might have gone a little overboard with the number of visuals... but this is such an exciting topic! Here's the article: newsletter.maartengrootendorst.com/p/a-visual-g...

Can you guess which visual guide is coming?

MCP is such an interesting protocol and a welcome addition to LLM-based frameworks.

You can find the repo here: github.com/MaartenGr/Ke...