How To Build a Personal Agentic Operating System
episode
The AI Daily Brief: Artificial Intelligence News and Analysis
28 min
2 speakers
8 chapters
transcribed 4 months ago
Transcript
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Transcript generated automatically by AI and may contain errors.
What is the main topic discussed in this episode?
Today on the AI Daily Brief, how to build your agentic operating system. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. All right, friends, we are back with another operators bonus episode. Today, we are once again joined by Nufar Gaspar, who is here to introduce the latest free AIDB training program, Agent OS. Now, those of you who have done AIDB New Year or maybe Claw Camp will be familiar with this style.
What is Agent OS and how does it differ from ClawCamp?
It's a self-directed build-based program that's going to give you the tools you need to build a complete agentic operating system. And for those of you who are wondering what the difference between this and ClawCamp is, in many ways they share a lot of foundations, but whereas ClawCamp is of course focused exclusively on OpenClaw, this is an updated program that is meant to be platform, model, and harness neutral. Whether you're working with Clawed Code or Codex or some other set of tools, AgentOS is about building dynamic and extensible and adaptable agentic systems that you can continue to evolve over time. But instead of me yapping about it, let's turn it over to Nufar to introduce the program and get you building your agentic operating system.
All right, Nufar, welcome back to the show. We got a fun one today. Yes, we do. So this started kind of emerging around the time that I had started hacking around on ClawCamp. But before we dive in, we're going to talk about this agent OS idea today. But give us a little bit of background around where the origin of this came from.
Like most other people, I've been hacking around these systems for a few months, realizing that different tools, like we will explore in a minute, are converging and that I'm still not getting optimal results unless I'm being very deliberate about what I'm putting underneath. So basically, that's the accumulation of all my thinking around how can you make any agentic tool work much better for you. So it's a framework that will not give any one novel concept, but the overall accumulation of everything creates a much better system for any tool, whether it's OpenClaw or any other agentic tool.
kind of moving from agents to agent systems almost. And, you know, especially as, I mean, literally as we're recording this, OpenAI just dropped their workspace agents.
Why is the underlying system more important than the tools themselves?
And it's just that the innovation is going to keep coming. I think the idea of having systems underneath that are extensible to the new platforms and kind of keep yourself organized are going to be increasingly valuable. So I'm excited to dig into this with you.
Excited to share with everyone my best methods as of this morning, at least. In today's episode, as mentioned, I will go over the full system that everybody who wants to get more out of the new wave of the agentic tools should build for themselves. And as a means of a background, what's happening today is that basically every agentic tool is becoming every agentic tool. You said it in one of the shows over the last few weeks. And you're correct, because Cursor just added agents and automations, and Cloud Code added new memory systems, also allows you to communicate with it from other channels, and OpenClaw read your files, and Codex run in the background. And Hermes, the kind of up-and-coming open source from Noos, they also have...
similar architecture, whether it's windsurfing or anti-gravity or any of the numerous tools out there, they're all converging on the same set of capabilities, which means that the tool you pick matters less and less. And what matters much more is the system that you build underneath it. So you want to build a system that captures how you work, what you know, and what you need from the AI tool to do for you. And one important framing before we go any further is that most of the discourse around agentic tools is kind of focusing on coding. And today I want to focus primarily on knowledge work. So whether it's strategy, communication, operations, decision making, research management and anything that the knowledge worker does.
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Chapters
8 chapters
1
What is the main topic discussed in this episode?
0:00–0:41
2
What is Agent OS and how does it differ from ClawCamp?
0:41–2:27
3
Why is the underlying system more important than the tools themselves?
2:27–4:29
4
What are the seven layers of the agentic operating system?
4:29–7:10
5
How do you build an effective identity file for your agent?
7:10–9:47
6
What role does context play in enhancing AI tool effectiveness?
9:47–13:44
7
How can automations improve the functionality of your agent?
13:44–17:20
8
What are the best practices for verifying outputs from your agent?
17:20–28:22