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Ruflo Agent Swarms: Automate ANYTHING! 🤯

AI News Today | Julian Goldie Podcast · 2026-05-13 · 9 min
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Ruflo for Claude Code: Build Multi‑Agent Swarms + Automate Research & Content to ObsidianThe video demonstrates Ruflo, a free Claude extension for deploying multi-agent swarms to coordinate autonomous workflows in Claude Code. It shows how to install Ruflo via GitHub CLI commands, verify it’s configured inside Claude, and then prompt Claude to suggest best-use swarms based on the user’s context by connecting to an Obsidian vault for memory. The presenter runs a content production workflow (SEO keyword/article briefing) in the AI agents automation niche, saving outputs directly into Obsidian as markdown while multiple agents work in parallel and report progress. It explains why Ruflo matters (automation, learning over time, persistent memory, tool integrations, scaling up to large swarms), uses a restaurant-kitchen analogy for how routing and specialist agents work, and notes you must explicitly prompt Claude to use Ruflo. The episode ends with Air Profit Boardroom resources, token-usage cautions, and brief Q&A on Hermes configuration and security.
✨ Episode Outline — click any point to jump to it in the episode
Problem solved
How to deploy and use multi-agent swarms in Claude Code with the free Ruflo extension to automate research and content tasks.
Benefits
  • Free Claude extension for multi-agent orchestration
  • Runs many agents in parallel, not one-by-one
  • Persistent memory across sessions
  • Connects to tools you already use, like Obsidian
  • Automates tasks normally done by a human team
Use cases
  • Deployed 6 agents running in the background to research the AI agents automation niche
  • Generated 5 SEO keyword article briefs saved directly to Obsidian Vault as markdown files
  • Built a full agent team (researchers for Claude, free agents, automation, comparisons, SEO)
  • Answered Norman Vale's automation/research setup question from the AI Profit Boardroom
  • Claude suggested 5 workflows: SEO keyword briefing, AIPB vault updates, article generation, content production pipelines
KPIs / results
  • 6 agents running in background
  • 5 article briefs targeted (3 completed live, 1 of 5 tasks done at first check)
  • Up to 100 specialized AI agents available
Tools / build
0:00 / 0:00
📑 Chapters — tap a time to jump there
00:00
Ruflo Overview
00:22
Install and Verify Setup
00:58
Finding Best Use Cases
  • Ask Claude for best Ruflo use cases based on your context
01:38
Add Obsidian Context
02:22
Choose Workflow and Inputs
  • Choose workflow (method 4), pick keywords, save briefs to Obsidian
02:51
Why Ruflo Matters
  • Automates team tasks, learns over time, runs agents in parallel
03:47
Swarm Results in Obsidian
  • Six agents run; SEO architect consolidates research into Obsidian
04:13
How Swarms Work
  • Swarm explained like a restaurant kitchen: router plus specialist cooks
04:45
Prompting and Live Briefs
  • Tell Claude to use Ruflo in the prompt
  • Briefs written live as markdown
05:31
Full Guide and Recap
  • Full guide, SOP, 30-day roadmap inside AI Profit Boardroom
06:20
Community and Coaching Plug
  • Community, daily videos, weekly coaching calls plug
06:40
Live Q&A and Wrap Up
So today, we are going to be looking at Ruflo, which is a free extension for Claude that allows you to deploy multi-agent swarms. So you can coordinate autonomous workflows and build more powerful autonomous systems with multi-agent AI orchestration using Claude code. What that essentially means is that you can just build a huge team of agents using Ruflo. Now, if you want to set this up with Claude code, it's pretty simple. You can just use the CLI instructions right here. Right? So you copy these commands and then you would go into terminal and set them up. Right? Once you've done that, then you can open up Claude. Like, so open up Claude here. And once we set up Claude, then we can say, okay, are you using Ruflo? And we'll just double check this is working. And you can see here it says Ruflo is configured in our environment. Right? So step number one, you install it via CLI using these instructions from the GitHub. Step number two, make sure it's actually working inside Claude code as you can see. Now, you might be saying, okay, why would I use agent swarms or how can I use them? So the best thing that you can do is actually ask Claude, okay, based on what you know about me, what are the best use cases for Ruflo agent swarms? So let's try that out. This is actually based on a question from Norman Vale inside the AI Profit Boardroom who was saying like, is anyone using Ruflo swarms for certain things at the minute? I'm trying to set up an automation for this. I'm also using it for researching stuff, struggling with the most efficient ways to get that set up. Right? And so whatever you're trying to do inside Ruflo, you can just speak inside Claude code and ask it for the best tips. Right? So you can see, for example, here is some ideas. And I'm actually going to connect this to my Obsidian Vault because it needs more context. For some reason, Claude says, I don't have any saved memory about you yet, which is crazy because I use Claude every day. All right. So now it's looked at my Obsidian Vault, which is where I store my memories. This is why it's really useful to have an Obsidian or second brain. I've got loads of training on this inside the AI Profit Boardroom. But basically, you want to really understand how to store your memories in context of you just in case stuff like that happens. And then you can see here, it's given me five different workflows that we could use here. So for example, it could be like SEO keyword and article briefing. It could be like AIPB workflow vault updates. It could be article generation. Right? And then it could also be like content production pipelines. Right? So I'm going to go with method number four. I'm going to say, okay, go with method four using Ruflo agent swarms. And then you go from there. If you've got any questions as well, feel free to ask and I'll answer them at the end. So you can see now it's pulling in some examples is what keywords you want. So I'm going to say just use the AI agents automation niche. And then where should the article briefs be saved? So we can actually save them to Obsidian Vault, which is what I'm going to do. Submit the answers here. And now it's going to start creating that agent swarm. Now you might say, why should you care about Ruflo? Like you've already got Claude set up. Here's what, here's why Ruflo helps you. Right? Number one, it automates tasks that you probably have a team of people doing. So it can do a lot of human tasks directly for you. Number two, it learns from every task. So it gets smarter over time and it just self-manages. You can see it's building out the agent team here with the swarm, which is pretty cool. So it's creating like, for example, a researcher for Claude, a researcher for free agents, research on automation, comparisons, AI, SEO, et cetera. So it's building out a full team of AI agents as you can see here. And then you can have multiple agents working in parallel, not one by one. So it makes it much more efficient as a process. It can remember things across sessions and it connects to tools you already use. So you see here, it says six agents are now running in the background and it's created a list of all the agents that it's got running right here. And now it's saying, for example, I'll notify you when the architect finishes the files and the files land in your ball. So these agents are just working in the background and the agent SEO architect has consolidated the research into Obsidian now. So you can actually write those files into your memory too. So if we're going to Obsidian, as you can see, it's now organizing that information into a nice little test, which is pretty cool. And then you can see the progress here. So we've got like the main, these are the agents working on so far. So we've got three local agents now working and it gives you the progress so far. So one out of five tasks are complete. Now you might want to know, okay, how does Ruffalo actually work? So you want to think of it like a restaurant kitchen. There's a head chef, which is the router. And then there are specialist cooks, the agents, one for salads, one for grills, one for desserts. And so you basically got a recipe book here, right? And so you can have multiple agents working on multiple tasks. It's really good for research, content creation. And you basically have a swarm of agents that just go off and do their own thing here, which is pretty powerful. And so that's how to use it, how to set up some of the most efficient ways to automate. And you can just leave it running in the background like this. The other thing that I would say here is when you're using this, when you're using Ruflo swarms with Claude, you want to make sure these specifically tell it in the prompt to use Ruflo. Otherwise, what will happen is it will just use Claude directly for agent swarms, which is not what you want. And then you can see here the architect is running with all the five research sets completing. It's written the briefs and saved them directly to this folder locally. And you can see the briefs being written by Ruffalo here, right? So it's actually creating the markdown files, updating it in real time. And it's writing the briefs for all the keywords that we're targeting, which is pretty cool. So this is Claude with Ruffalo, just automated in the background. And you can see we've got three different briefs already. We will need five, but that's basically how you can automate anything with this, which is pretty powerful. So if you want the full guide from today, I actually answered Norman's question on a video. And any sort of questions like this, I answer them with videos just to help the community as much as we can inside the AI Profit Boardroom. So if you want the full guide, it's inside the new tutorial section, as you can see right here. So we've actually got a full guide on Ruffalo, how to use it, a step-by-step operating procedure, a 30-day roadmap. And just to recap, Ruffalo is an AI agent orchestration platform that runs on Topical Code. Gives you 100 specialized AI agents, each one built for a specific type of work. Agents work in swarms, which are self-organizing teams. It has persistent memory. It can connect to all sorts of different other options. And it basically gives you a full AI team that works together, right? And basically, this helps you like create. You could have 100 AI agents working together if you wanted to. So we've put it inside the new daily update section here. If you want to get your questions answered next time, just post inside the community section. And I create new videos for people daily. Inside the calendar, you can jump on weekly coaching calls. You can get all my best AI training here, including how to go from beginner to expert with AI automation inside the classroom. And then you can also connect with me personally too. Let's see what questions we've got here. Oh, we've got a lot. Stepfun is my favorite, says Intimacy. Yeah, it's really good for that. It seems pretty good and fast for using with Hermes. And it's pretty cool that it's free as well. What are some absolute must-dos for configuring Hermes agent? I honestly, I just go with the defaults, right? But if you wanted to play it super safe, then you would host it elsewhere. But I just don't like to... I think the main thing is the absolute do and don't is don't give Hermes access to anything that you're not comfortable with. As long as you don't do that, then you're okay. Anything that you shouldn't give access to, don't do it. And you could set it up on a VPS or that sort of thing, but you have to be careful with that. You could silo it away on Docker. That's a good option. But bear in mind, I've never heard of any serious issues with Hermes so far, and it seems pretty good so far. Damavish says, the most down-to-earth person. Thank you very much, sir. Jovi says, I have to tell my Claude code CLI to log memory or I won't do it. Yeah, that was weird. I'm surprised Claude didn't have any memory of me. I suppose I have built-in persistent memory, but I'm really glad that I had Obsidian set up. That helps a lot. Isn't this kind of irrelevant, though, because of Claude's new agent view that lets you run multiple parallel agents? So this option right here, Claude already had a setup previously where you could run agent teams in parallel. But with Ruflo, you can create like 100 agents in parallel. So it's quite different talking about Ruffalo yet. How many skills you have? I just use the built-in skills, and then I create a few for workflows that are custom. But yeah, inside Hermes agent, I just mostly default skills, and then I write a few of my own. Not that many. Does setting up multiple agents with a tool like Ruffalo? Yes. It will use more tokens, right? You have to be careful of that. So yeah, be aware of that. If you're running 100 agents, are you going to use more tokens? Absolutely. How can I do something like you do? I have Hermes. So check out all the tutorials and Hermes I have inside the AR Profit Boardroom. Everything that I personally use with Hermes is inside the AI Profit Boardroom here. So we've got loads of tutorials, video guides, step-by-step breakdowns, etc. All my best trainings are inside the AR Profit Boardroom on that. I don't know what to start with. So if you're not sure where to start, go to the classroom, and then go to the beginner to expert section here. You can go from there. Someone said, I work at Anthropic. We saw this was a big issue over the past couple of months, but a few days ago we made massive improvements. Nice, man. That's awesome. Corey says, I've got a couple of open-call agents and a few things set up, but this has to be decent. Too many are talking about it, and they're all saying different use cases. Do you have Obsidian set up? Yeah, as I showed earlier. So we have Obsidian set up locally, and then that links to any agent that I direct it to. Memplace versus Obsidian. I found Obsidian is just like the simplest, easiest way to give access to my agents context. So I found it's a lot easier. It's a lot more chill. All right. Thanks so much for watching.