Sink Your Claws In
Apr 5, 2026
The expensive, challenging, and humbling journey with open source agents.
Sponsored By:
- Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!
- Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.
Links:
- 💥 Gets Sats Quick and Easy with Strike
- 📻 LINUX Unplugged on Fountain.FM
- LinuxFest Northwest 2026 - Back to Root — April 24-26, 2026 - Bellingham, Washington
- Preferring Local OSS LLMs
- Qwen3.5 27B vs Gemma4 31B
- Open Models have crossed a threshold
- Gemma 4 — Google DeepMind
- Welcome Gemma 4: Frontier multimodal intelligence on device
- Gemma-4-31B-JANG\_4M-CRACK · Hugging Face
- mesh-llm — Mesh LLM lets you pool spare GPU capacity across machines and expose the result as one OpenAI-compatible API.
- hermes-agent: The agent that grows with you — The self-improving AI agent built by Nous Research. It's the only agent with a built-in learning loop — it creates skills from experience, improves them during use, nudges itself to persist knowledge, searches its own past conversations, and builds a deepening model of who you are across sessions.
- goose — An open source, extensible AI agent that goes beyond code suggestions; install, execute, edit, and test with any LLM.
- Lobehub — The ultimate space for work and life. To find, build, and collaborate with agent teammates that grow with you. We are taking agent harness to the next level; enabling multi-agent collaboration, effortless agent team design, and introducing agents as the unit of work interaction.
- LibreFang — LibreFang is an open-source agent operating system written in Rust.
- OpenHarness — OpenHarness is an open-source Python implementation designed for researchers, builders, and the community.
- Microsoft's Newest Open-Source Project: Runtime Security For AI Agents — Microsoft proclaims their new open-source project is the first toolkit that addresses all ten agentic AI risks identified last year by the OWASP
- Top 10 Risks and Mitigations for Agentic AI Security - OWASP Gen AI Security Project
- googleworkspace/cli: Google Workspace CLI — One command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discovery Service. Includes AI agent skills.
- Tunarr API Reference
- Euro-Office launches as Europe's open-source Office rival
- Pick: single-file-cli — CLI tool for saving a faithful copy of a complete web page in a single HTML file (based on SingleFile)
- Pick: html-to-markdown — Convert HTML to Markdown. Even works with entire websites and can be extended through rules.
- Pick: skim — Turns any HTML page into clean markdown.
Transcript
WEBVTT
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Hello, friends, and welcome back to your weekly Linux talk show. My name is Chris.
00:00:16.189 --> 00:00:16.809
My name is Wes.
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And my name is Brent.
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Hello, gentlemen. Coming up on the show this week, well, for the last three
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months, we've been building multiple open source agent platforms.
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The gains have been real, but the friction has been just as real.
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Our expensive, challenging, and humbling journey with open source agents.
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They'll round the show out with some great picks, some boosts,
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and a lot more. So before we get into that and the challenging journey,
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let's say good morning to our mumble room. Time appropriate greetings,
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Virtual Lug. Hello, hello.
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Hello. Hey, Chris, hey, Wes, and hello, Brent.
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Hello. Nice of you to join us on air. Hello, everybody up there in quiet listening.
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Nice to have you along as well. Look at them. Aren't they looking nice today, Wes?
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Wow, dressed up and everything.
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I love it when they do that on a Sunday. Also, good morning to our friends over at Define Networking.
00:01:02.889 --> 00:01:08.549
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It's incredible because you can have these lighthouses that you manage.
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They're public lighthouses. is you can have one system going to one system.
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You can have a giant mesh network. I mean, it was originally built for Slack.
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So you can go big, you can go big, or you can go small. And I just think that's
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really, really powerful. I just think it's, once you wrap your head around it,
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you'll see what I'm saying.
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So why not dip your toe in, check it out. 100 hosts for free at defined.net slash unplugged.
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Nothing else offers Nebula's level of resilience, speed and scalability.
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Get started, 100 hosts, absolutely free. Support the show, our premier sponsor,
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defined.net slash unplugged. Thank you very much for their support.
00:02:04.429 --> 00:02:08.949
Of the Unplugged program defined.net slash Unplugged.
00:02:11.274 --> 00:02:14.754
All right, so we want your feedback for these topics that we're about to get
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into. For example, this episode is based solely on questions that have come into the show.
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But we also get questions or maybe sentiment that is don't talk about these kinds of things.
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Like on March 24th, Matt wrote, and I think it's maybe his first time writing
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the show, You boys seem enthusiastic about AI.
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I recommend you create a new podcast dedicated to AI so it doesn't dominate
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Linux Unplugged. Half the audience can't stand AI. It's very polarizing.
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If you start leaning heavily into it, I'm just going to unsubscribe.
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I thought I'd give this feedback to let you know why you might lose some viewership in the future.
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Fair enough, too. Like, all kinds of feedback are appreciated.
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So we're not roasting Matt here. Just wanted to share, like,
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we get both ends of this, right?
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So today we're going to represent the questions that have come in about agents and whatnot.
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But I think it's fair to say we want to check the temperature on this just in
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general with the audience.
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So send us a boost or go to linuxunplugged.com slash contact.
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And I do want to also say I think sometimes people, because they are so polarized
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about a particular topic, don't recognize that we do intentionally try to space this out.
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So you consider that AI has been the number one topic for the last three years
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in just about every economic story, every employment story, every tech story.
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And so we have worked very intentionally to try to space these topics out.
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Last week, we talked about Ubuntu and their grub plans. The week before that,
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we talked about ersatz TV wrapping up.
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And a little bit before that, I talked about my Keeper calendar program.
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So we try to space it out. We try to have episodes that don't just hit AI every
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single week, which means, you know, we're digging whole cloth and building that
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stuff for you, which is part of the value we try to bring.
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But it doesn't just accidentally happen that we go two or three weeks not talking about AI.
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And then one week we talk about AI. It's not just, that's just not like the
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topics fall into the show by accident. It's very intentional design on our part.
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And if we weren't doing that, it would look a lot different.
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Right.
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Just if that filter was not in place and all you were doing was going based
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on like what's hot in the world and what news stories are out there and what's changing.
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And what would get us advertising very easily.
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Right.
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Like we could, like we could just lean into it and lose some audience and make
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some advertising money there, but we're not doing that.
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And what we're trying to do is when we talk about it, we're trying to talk about
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in practical ways that are here today that are the open source angle,
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angle because that's what we cover and really impact linux users and we try
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to bring something even for the skeptics even if it's an episode that's about
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ai you're not an ai fan we try to bring something for everyone.
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I would argue also solving actual problems that we have either in our infrastructure
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or like some of the reverse engineering that we did of that diesel heater is
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a good example of using a new tool to accomplish something that we've been thinking
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about for what a year two years something like that so attaching it to a real world,
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use case and problem set i think hopefully it describes how we're finding actual
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uses for it not just burning up a bunch of credits.
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Yeah, we're doing that, too. We'll talk about that. But it is a balance, right?
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Because we don't want to lean too heavily into it. We want to make a show that's
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for as many people as possible. After all, it's a show we're making for you.
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So we do want to get this balance right. And it's something we want to hear from you about.
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We think that the terrain is still being discovered, right? The map still has a lot of fog on it.
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And there's a lot of mixed information out there, good and bad ideas and takes.
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And a lot of interesting technology that is really growing this year,
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2026, if we're open source.
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And this week was another significant step for open source this week.
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We had another one about three months ago. This is another one.
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And these keep happening specifically in the open source domain.
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So we're trying to balance all this out.
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Let us know what you think with a boost or, you know, go to the unplugged.com
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Linux. What is it? LinuxActionShow.com?
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Yeah, that's right.
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We got the Unplugged, you know, we got the contact page over there. You can figure it out.
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LinuxUnplugged.com slash contact.
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What? No.
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Never heard of it.
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Right? Unplugged? What kind of show? What, is that a show about radio?
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Yes, it is.
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Oh, okay. All right.
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But internet radio.
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All right, so let's talk about the good, the bad, the ugly here.
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We've got some common questions into the show, and we're going to go through
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some of these and then talk about our setups and talk about some of the big
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stuff landing for open source.
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And it's not all just one particular flavor. So I think let's start with probably
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the one that everybody's talking about right now, OpenClaw, which is a project
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that's getting a lot of the attention for something you can run locally and
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it can use local LMs or cloud LMs.
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And do we really need to get much into OpenClaw? We've had a couple of people
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ask, but I don't really feel like we need to spend a lot of time on it.
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It's a node-based agent's gateway stack.
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Okay, let's talk about what's a gateway, Wes. Maybe that's what we could explain.
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Well, yeah, I mean, it kind of depends on how deep you want to get,
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but there's a lot of different versions now of what people are calling an agent harness.
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And on one hand, you have just sort of the basic model, like the first version
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of ChatGPT in a browser tab that you're sort of typing into and interacting with.
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And at one point, maybe you're copying code in, and it writes code,
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and you copy it out or whatever.
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But then we switched to this version where it's like, it's living with us in
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our projects, in our editors, in the terminal.
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And it probably has something like tools, right?
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And it has, so that gives it like sort of mechanisms that it can affect change,
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edit files, run scripts.
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And, but beyond that sort of core set, then you have like a lot of different
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other features sort of like, how is the context assembled?
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Well, how does the memory system work? Is there a memory system?
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How do you chat with it?
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Yeah. And then you have the inputs and the outputs, which is like,
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what is the control interface and control surface? It's like,
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how do you trigger it? Is it autonomously triggered?
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Does it have mechanisms to like ping you anywhere you're at?
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Or it just presents on like an interface on your screen?
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And so like on one version, you have sort of like an open code or a cloud code
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or codex sort of thing where, I mean, they can do more than this.
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But the primary thing you first see is just like a TUI interface for you to
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sort of be human now with better helpers embedded right there.
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And OpenClaw you get is a very different experience where like you just sort
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of are presented with a telegram chat window into this bot who lives in its
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own entire other sort of universe of its own.
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A persistent running backend called the gateway that is connected to the LM
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that you chose and can run some of the tools like...
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Could be basic bash commands could be uh other things like a model context protocol
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and things like that but the gateway just sort of does that via like your commands
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in telegram chat or whatsapp or slack or whatever it might be.
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Yeah so it sort of um is the organizer right it's
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so it monitors like the telegram api or the slack api and gets incoming web
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hooks or whatever and then from there it says like oh right let's trigger the
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lm assemble its context give it all the stuff that it needs and then it also
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handles when the lm comes back with like i want to run a tool the gateway is
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actually what goes and like executes the tool call calls the mcp server.
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And i want to make kind of a common confusion clear that we've
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seen come into the show so say you're using olama with
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an open source lm or you're using chat gpt54
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for the back end of your open
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claw agent and maybe you're also using open code they're the same thing you're
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not going to really get dramatically different results because one's open claw
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and one's open code other than some of this harness that wes is talking about
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like the memories or the skills and those things kind of make it different and
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they give the agent the ability to,
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to remember mistakes, to remember that when I say custodian,
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I'm referring to 172.16.0.10.
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And so I don't have to write 172.16.0.10. I just say SSH to custodian.
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And memory and, of course, DNS help with things like that, where maybe if you
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just went to a fresh open code session or a fresh GPT session and just said
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ping custodian, it'd have no effing idea what you're talking about.
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And that's where it's like they kind of all exist in a design sort
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of possible design space and they have a lot of shared components and
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then some of them are just optimized for different experiences like open
00:10:05.833 --> 00:10:08.553
cloud really started as this sort of personal assistant that could manage your
00:10:08.553 --> 00:10:11.593
calendar and email and interface with you and like you know help you you
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know chat with you as in your telegram instance and maybe something more like
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open code is you know they have customized prompts focused on coding and they
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have a different style of sub-agent implementation it's focused on orchestrating
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multiple agents working specifically on code i mean it can do more than that
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right but you can see how sort of the defaults and the shape of the interface
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drive what they're primarily used for.
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Yeah.
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So like all of them, right? Because it's all just an LM under the hood.
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They can all write scripts. They can all run tool calls. It's just kind of what
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you put on top to let them do.
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So in my case, I'm using OpenClaw, and I have five agents running through OpenClaw
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that have domain-specific focuses. And we can talk more about that in a moment.
00:10:50.098 --> 00:10:52.738
So because one of the questions we also get into the show is,
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what the hell is even the use case?
00:10:54.358 --> 00:10:57.478
What are people even using this for? I don't really get it. Like I could just
00:10:57.478 --> 00:11:01.318
write a cron job with a Python script or a Bash script and do most of what you're
00:11:01.318 --> 00:11:04.938
doing. Or I could just use ClogCode or OpenCode. I can do most of these things.
00:11:05.038 --> 00:11:07.198
Like what the hell are people actually using this for? I don't get it.
00:11:07.198 --> 00:11:12.018
And so uh i think i wanted to start with brent because brent so far i know you've
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been busy but i think partially too you're kind of waiting to see where this
00:11:14.778 --> 00:11:18.218
goes because it is really early days he's watching.
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Us uh frequently post embarrassing you know things that our agents messed.
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Up yeah and so i thought i'd give you a chance because you probably represent
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where a lot of the audience is at on.
00:11:25.598 --> 00:11:26.078
This and just.
00:11:26.078 --> 00:11:29.918
Kind of talk about like where you feel it is on your adoption curve.
00:11:29.918 --> 00:11:32.518
Yeah i'm typically a little slower on the
00:11:32.518 --> 00:11:35.178
adoption curve than you boys which is beautiful because i get to
00:11:35.178 --> 00:11:38.038
watch you intimately screw things up and then
00:11:38.038 --> 00:11:40.738
learn from your mistakes so that's lovely but we
00:11:40.738 --> 00:11:45.538
do it for the show right boys but my hesitation always around new technologies
00:11:45.538 --> 00:11:51.738
tends to be you know of course privacy but also security because i might not
00:11:51.738 --> 00:11:57.098
have the same confidence as either of you to either not make the mistakes that
00:11:57.098 --> 00:12:00.158
i will regret later or to recover from them gracefully.
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So I like to wait just a little longer to see, let's say like a project like
00:12:05.938 --> 00:12:10.478
Open Claw reach more maturity than adopting it, you know, on week one,
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as so many people have done throughout the internet.
00:12:14.158 --> 00:12:18.338
So I would say that's probably pretty accurate that some of our audience fall
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into the category that I sit in, or maybe wait even longer.
00:12:22.878 --> 00:12:27.198
And I would say that's not a bad thing. That's okay. It means you're falling
00:12:27.198 --> 00:12:33.198
a little bit behind because the tools are moving so fast these days like every other day it seems.
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I just add to my list of things to learn. But that said, it's an evolution that
00:12:41.044 --> 00:12:44.224
you still need to keep up on, in my opinion.
00:12:44.464 --> 00:12:48.744
And I didn't have this opinion several months ago, because I was still kind
00:12:48.744 --> 00:12:50.404
of pausing and waiting to see.
00:12:50.624 --> 00:12:55.784
But having put my own pause on some of these tools, I got to say,
00:12:55.904 --> 00:12:59.804
it's made me a better open source software user.
00:12:59.804 --> 00:13:05.284
And allowed me to accomplish a bunch of projects that I've had on my to-do list
00:13:05.284 --> 00:13:08.744
for years and do them at speeds that I never would have anticipated.
00:13:09.304 --> 00:13:17.044
So that part, even though I hesitated to start to adopt, it's incontrovertible
00:13:17.044 --> 00:13:20.504
to me now that it's useful if you point it at the right thing.
00:13:21.584 --> 00:13:25.244
Yeah, so I think your take is pretty spot on.
00:13:25.404 --> 00:13:31.024
I don't know if you agree, Wes, But I think like it is, it is breaking and moving fast.
00:13:31.224 --> 00:13:35.744
And if you're not comfortable going in there and using something like a codex
00:13:35.744 --> 00:13:40.024
or an open code to sometimes fix it, you're probably going to have a bad time.
00:13:40.584 --> 00:13:44.324
Yeah. And I think that's to where like the difference in model sort of matters,
00:13:44.424 --> 00:13:47.944
right? Like open code is I tend or cloud code.
00:13:48.084 --> 00:13:51.684
I tend to like, you know, you, you open it, you run it on your computer or you run it somewhere.
00:13:51.924 --> 00:13:54.184
It sort of has a, maybe you run it for a long time and it runs persistently
00:13:54.184 --> 00:13:55.604
for days and weeks or whatever. But yeah.
00:13:56.757 --> 00:13:59.637
Versus the gateway for open claw is a systemd service that
00:13:59.637 --> 00:14:03.197
runs on a server and so um just the
00:14:03.197 --> 00:14:06.197
models are very different and the introspection and the default of how much info
00:14:06.197 --> 00:14:08.937
and sort of the inner state that you're exposed to
00:14:08.937 --> 00:14:11.877
of the system is very different and then on top of
00:14:11.877 --> 00:14:14.637
that you know you're so there you're sort of pressing the bounds
00:14:14.637 --> 00:14:17.337
of like how little interface can you have and
00:14:17.337 --> 00:14:20.377
still have this thing manage productive work which is its own question but
00:14:20.377 --> 00:14:23.797
that sort of imposes a lot on the whole model and just
00:14:23.797 --> 00:14:27.437
the nature of the project yes like it just
00:14:27.437 --> 00:14:30.257
moves crazy crazy fast so fast that we've both now had
00:14:30.257 --> 00:14:33.217
to sort of fork the up the upstream nix
00:14:33.217 --> 00:14:36.677