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Claude + Ruflo Agent Swarms is Insane (FREE!) — Transcript · YTtoTranscript

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Claude + Ruflo Agent Swarms is Insane (FREE!)

Julian Goldie SEO · 2,671 words · 13 min read · EN-ORIG

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Below is the complete, readable transcript of Claude + Ruflo Agent Swarms is Insane (FREE!) by Julian Goldie SEO on YouTube. Read the full text, copy any part you need, or generate a transcript for any video with our free tool.

Claude just got a free upgrade that makes it 100 times more powerful. In this video, I'm going to show you exactly what it looks like using something called Rufflow and agent swarms. So, when you combine it with Claude, you don't just get one AI agent working for you. You get 100, 100 specialized AI workers all running at

the same time, all coordinating together, all getting smarter the longer you use them. Think about what actually means for your business. Tasks that used to take you hours are now done while you sleep, content research, outreach, all running in parallel as AI agents without you touching a thing. And the best part is it is free to set up and use with

Claude Code. I'm going to show you how to set this up step by step, what it actually does in real time, and the one thing that makes Rufflow different from every other AI tool you've ever tried, which is what I'll get into in just a minute. So, today we're going to be testing out Rufflow, which is a

multi-agent AI orchestration for Claude Code, where you can orchestrate specialized AI agents. You can actually orchestrate like 100 of them. I'm going to be testing this out with Claude Code directly and seeing how it performs, right? So, you might be wondering, "Okay, what's the difference between the two? Between just using Claude Code and

using Rufflow." So, with Rufflow, you get a few agents, you can manage a few slash commands, etc. With Rufflow, you get the full Rufflow loops and 98 agents, 60 commands, 30 skills, and MCP server, hooks, and everything else, right? You also get files inside the workspace, MCP server setup, and it installs hooks as well for you. And it's

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an open source project. So, here's what you get with Rufflow, right? Number one, 100 agents specialized for coding, testing, etc. You get a comms layer. You get swarm coordination, which means you can manage your agent swarms together. It's self-learning like news research, so it can actually self-improve as well. It has a vector

memory, background workers, and also a bunch of other stuff, too, like a web UI beta. So, we're going to test out now with Claude and see how this performs. So, basically, it just makes Claude more autonomous and powerful because you have AI agents that can work it in orchestration, right? That can work together. So, we're going

to get started with this now, and I'm just going to go into terminal here and set up Ruff low with Claude code, and it's just installing here as you can see. So, let's talk about this and what it means, etc. So, basically, you can put like 100 AI workers to work, right? Using Ruff low, which is super powerful

and pretty crazy when you think about it. So, Ruff low is basically a platform that lets you control a whole a whole army of AI agents that coordinate together, right? And it runs on top of Claude code. So, it makes it way more powerful as a tool, right? Now, you might think, "Okay, why should you

care?" It's great for saving time, and basically, it automates tasks that teams could do. It learns from every task, so it gets smarter over time. There's multiple agents working in parallel, not one by one by one. It remembers things across sessions as well, and it connects to the tools that you already use,

right? So, how does it actually work? You want to think of it like a restaurant kitchen. There's a head chef, the router. There are specialist cooks, the agents. And you got one for salads, you got one for grills, you got one for desserts, right? And there's a recipe book that gets updated every single

night with new winning techniques, which is the learning loop. And there's also a memory system that never forgets anything, which is the vector memory. And so, when you send a task in, Ruff low figures out what kind of task is it, which agents should handle it, can multiple agents work on it at the same

time, and has this been been done before, what worked previously. That's how it's self-learning right here. And then it can fire up the right combination and get the work done whilst you do something else. Now, you might think, "Okay, what are these agents exactly? What is this and how does it work?" So, an agent is just an AI worker

with a specific job, and Ruff low comes with 100 of them out of the box, right? So, for example, you got like content agents, you got architecture agents, research agents, etc. You know you get access to it directly online as well, so you can use a UI, which is .io, so it's iuv.io. So, that's another option for

using it. You can see Ruff low is ready and installed right here. And then you can choose your default configuration preset. So, you can go with default, minimal, full, or custom. So, you can really change it a lot if you want to. I'm going to go with default, and then you can choose, okay, what type of agent

swarm topology do you want, right? So, do you want a hierarchical agent swarm? Do you want a mesh, like peer-to-peer coordination, a hierarchical, adaptive, etc. Right? So, for complex projects, you probably want to go with hierarchical mesh, which is what we're going to do here. And you can say, okay, what are the max concurrent agents? You

could put 100 if you want to do. I'm just going to go with the default, and then you can choose, okay, what do you want as a memory back end, right? So, it could be, for example, hybrid with the agent DB and SQLite or agent DB or SQLite or in memory. I'm going to go with hybrid. And then you

can enable better indexing. We can enable neural pattern learning, self-learning memory, embedding systems, etc. And then we could choose our embedding model like this. Now, it's going to get it set up. You might be wondering as well, what is a swarm? A swarm is a team of agents that organize themselves, right? Which

means that you don't need to assign every agent a task manually. You give the swarm a goal, the swarm figures out who does what. So, I have three types of swarm architectures, hierarchical, mesh, and adaptive, right? If you've never used swarms before, I would recommend that you start with the Hermes agent swarms. I've got it inside the app

profile ordering over here. We have a full training guide and setup guide on exactly how to use it, how to set up, etc. But it's super powerful. We created like a full website setup, ready to go, and it only took uh it created a a 50-page full website in like the space of a couple of minutes. You know, it was

super powerful. But basically, this means the system can handle like simple tasks and also massive complex tasks. So, like I was saying, there's three types of swarm structures, right? You have hierarchical, mesh, and adaptive. So, the swarm can change its structure based on the task. You have mesh, where every agent talks to every other agent,

and then you also have hierarchical. Right? That's the difference here. So, this setup is now complete, as you can see. I'm just going to go over to Claw Code to see how this works. And I'm going to send it the details of the setup that we've just done to get this working. And then you can see here it's

all set up, right? So, now I'm going to say, "Okay, great. Can you use the agent swarms feature from Rufflo?" We'll see how that goes. It also has a memory system, too, right? So, most AI tools have a huge flaw, which is they forget everything the moment you close the chat. Rufflo doesn't. So, it has a

vector memory system, which is like a super fast filing cabinet with a genius librarian inside. So, when you tell Rufflo something, a preference, a result, a lesson learned, it stores it. And the next time a similar task comes up, it pulls up that memory, uses it. Right? So, the search system Rufflo uses

is called HNSW, right? And it's up to 12,500 times faster than normal memory search methods, which means it just gets smarter the longer you use it. So, you can see here an example, right? The Rufflo swarm is up and running. We've got the swarm right here. Here's Here's the agents registered, etc., right? And so, if I say, "Okay, go off

and build an AI SEO website for a new blog my AI Profit Boardroom Community using an agent swarm." We'll see how that goes. Now, you might say, "Okay, what tools does it connect to?" It's not just for Claude, right? So, you can connect this to OpenAI, Gemini, Ollama, etc., right? There's a lot of tools you

can connect Rufflo to, which is pretty cool. And also, you've got the web UI as well. So, you don't even need to install it if you don't want to. You can go to this address, and then just get access to it, right? Rufflo has a web interface you can actually use right now. If you

want to see an example of what that looks like, this is the example. I prefer to use it with cloud code directly, but you can just use it online if you want to. So, inside there you get access to like multi-modal chat, 210 different tools, persistent memory, parallel tools, etc. Now, you might say,

"Okay, I need to be a developer to use it." So, actually the right belief is that you can use it just on the web UI with zero coding. You just type in what you want. So, you don't need to worry about that. Other people say, "AI agents make mistakes and I can't trust them."

That's fair enough, but Rufflo actually has and audit trails and self-correction baked in. So, it's more careful than most human workers, to be honest. And if you've hired a virtual assistant online, you know what I'm talking about. All right. And also some people say, "This is too expensive." But the thing is this

is free and open source. And and you can just use it with cloud code directly. So, you don't need to worry about that. You can also see how it's working right here. So, it's registered the specialist agents and then it's kicking off the pipeline, right? So, it's spawned the agents right here as you can see and

it's beginning to build out our website. Some people say it would take months to set up, but as you've seen today, I've set it up in minutes, right? You just use the commands from GitHub and you're good to go. Do you give your AI their own emails? I have tried that in the

past. Honestly, I just don't like giving my agents access to email. I I tend to find it's I only want to give it stuff that I'm comfortable with, right? And I actually use. So, I rarely give it access to my emails. The only time I would give agents access to my emails is

if I'm using Gemini or something like that. It's literally designed for that task. Other people say, "AI forgets everything, so it's useless for ongoing work." But Rufflo's vector memory remembers across every session, so it gets smarter the more you use it. Other people say, "I need to micromanage every agent." Actually, the right belief is

you just give it a goal and Rufflo's swarm figures out what who does what in what order in what structure. So, you check the output later, which is pretty good. And you can see it working right here. So, that's basically it. That's how to use Rufflo, how to get set up with that, how to use agent swarms. You

can see an example of how it works. It saves all the details right here. So it says the site will be at this address. We've got the list of the agents and their swarm status over here. So we've got an architect, a front-end dev, an SEO specialist, and a reviewer. And then you can see their role and the status,

right? And so for example, these two are waiting for the architect and the reviewer is waiting for all, right? So it's pretty easy to get Rufflow working and set up. And then it'll be available at this address once that's working directly. So pretty cool. So just to recap, Rufflow is an AI orchestration platform that runs on top

of Claude code. It gives you 100 specialized AI agents, each one built for a specific type of work. Agents work in swarms, self-organizing teams that handle tasks in parallel. It has persistent vector memory, remembering everything across sessions again smarter over time, and you can try it right now, right? It's free and open source, which

is pretty cool. So if you want to get a full guide on how to use this stuff, feel free to get it at the AI Profit Boardroom.com. I'm going to add inside the classroom here a new tutorial called Rufflow agent swarms, and there you go, right? So you got the full guide and the full

step-by-step guide inside the AI Profit Boardroom right there. This actually comes with a full road map, step-by-step tutorial on how to implement it inside your business, and everything you need to get it set up. Also inside the AI Profit Boardroom, you can ask questions inside the community, you can jump on weekly coaching calls, you can get all

of my best trainings inside the community too. And then additionally, you can actually meet members inside your local city, ask questions from them if you want. Um there's a lot of cool stuff here. What we actually do as well is we keep a change log of all the improvements we make every day, so that

you can see how we're improving, how we're developing over time, right? So you can see that we're just adding new improvements every single day and just rapidly evolving and improving as a community based on people's feedback. So feel free to get that link in the comments description or just go to the AI Profit Boardroom.com. Can it work

with the Kanban? No. If you want to get agent swarms working with Kanbans, check out my training on Hermes Kanban here. Right? This is super powerful. So, if you get that right there, that can show you how to set up Hermes agent swarms with Kanban using Hermes workspace. Super powerful. HED is Hermes. So, that's a totally different

topic. Hermes HED doesn't really work with Kanban. It's more for like just managing your agent in the back end of it, I would say. How does Hermes HED manage token usage? So, you can see the back end and like the cost on the back end. So, that's how you manage it with Hermes HED. Hi sir, if I want to start

not now, what tools can I start with? I want to start with better agents. Yes, I would go with Hermes, right? Out of all the tools, all the agents in the world, Hermes is by far the most powerful. All right, we've got a full tutorial and guide on it right here how to set up,

how to use, etc. But yeah, I would go with Hermes. Like super powerful, really easy to use, super smooth, way easier than using Open Core. Go with that.