Context Engineering is the future of AI Agents - here’s why

This method will quickly overwhelm the context window when applied to the complexities of real-world problems. This is why my architecture uses workflows instead of agents, and why I use a multi-layered memory (state) management system which is hardcoded into my architecture. I have agentic workflows which manage the memory spaces of the system and its components so that only information relevant to a specific task is given to the context window of that specific agent within the workflow. This micro-management of memory states according to task really makes a difference in the reliability of my MAS.

It reminds me of something I've already encountered in the Novelcrafter program, which uses AI to write stories. But they did something more there. When you write a new scene in a story, the AI also includes summaries of previous scenes in your instructions, allowing the narrative to be maintained. However, in addition, the program automatically includes in the prompt descriptions of important people, places, and objects that appear in your instructions, so that the LLM writing the next scene has this information. Example: your instruction: "The next scene describes a quarrel between Tom and Jessica". The program will add summaries of previous scenes and descriptions of the characters - Tom and Jessica, to this instruction. The program contains a database of key characters, places, and objects related to the story.

Honestly, this just makes sense. Whenever I design a system, I typically reach for paralellism last. Paralellism is great for getting large tasks accomplished more quickly, but you need to be sure that all the necessary input is available (in this case, the "context") and that the operations can be run in isolation from other processes/workflows without them requiring or impacting one another.

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Love the comments. Discussion is a better source of knowledge than a lecture

Very insightful and inspiring video. Great job!

Now this… is quality content 👌

I really liked the intellectual drive to admit mistakes, even in past videos. It's clear that you're a serious guy, that you're smart, that you work well, that you love what you do and that you do it well.

As always well, focused and condensly presented. Thanks for your effort and input 🎉 Good to have you.

Could not agree more. Ive hit a brick wall after working on a huge (for me) multi agent project over the last 6 months. Sharing context and an application level memory layered on top of the agent memory. Appreciate the vid man, youve made a few things clearer for me.