Ruflo Agent Swarms: Automate ANYTHING! 🤯

Ruffalo Agent Swarms just dropped and it turns your Claude into a whole army of AI workers. Right now most people are using Claude like a slow back and forth chat. One question, one answer, one step at a time. But that's like having a hundred employees and only letting one show up to work.

So with Ruffalo, you give Claude one mission, it spawns a whole team of AI agents that all go to work at the same time. One agent plans, one agent builds, one agent checks to work. And actually spin up a hundred sub-agents all at once. And I'm going to show you something today that most people completely miss when you set this up.

There's actually one thing you absolutely have to do to make sure your agent swarm actually works and it's easy to control. So stick with me to the end and I'll show you exactly what that is. By the end of this video, you'll have a full team of AI agents running for you fully automated. Let's get into it.

So today I'm going to show you how to automate anything for free with Ruffalo Agent Swarms. So this is basically an add-on that you can add to Claude and it's like an agent orchestration platform for Claude. So you can deploy multi-agent swarms, you can create autonomous workflows, you can have amazing agents working together inside Claude. It's kind of like the new Ultra Code release that just came out, but this gives you 100 agents, it's self-learning, you've got swarm coordination, so you can have your agents working together in a group.

So let me show you exactly how this works. So here's an example, so we've actually used it for our SEO content strategy and we can plug in a mission like this and with Ruffalo attached to Claude, we've got Ruffalo as the orchestrator and then it can create a whole team of agents. These are all different sub-agents working together to automate and build whatever we want. So you can give Ruffalo one mission and then watch multiple agents spread out across a live map like this and you basically have one whole swarm of AI agents and one job at the same time.

And the cool thing about this is previously you'd be doing one thing at a time, right? So for example, let's say you're just inside Claude here, you just go back and forth inside the chat. It's quite slow, it's inefficient, whereas now with Ruffalo, one AI helper used to do everything, but now you've basically got like a constellation team of them, right? So this is a new platform called Ruffalo that just landed on GitHub, and in plain words, it's a dedicated home for running a whole swarm of agents on one job at the same time.

Not one slow helper doing one slow step, but a team of, for example, like 15 different or a hundred different specialists working in parallel, and each agent has its own role. So they share what they find with each other as they're going, and when they're done, the answer assembles itself in front of you. I've actually wired it into my agent operating system, as you can see right here. And so we can just plug in a mission, hit launch, and then go from there.

So before, every AI job felt like a slow conversation with one slow assistant. You type a big task, watch stuff get done, but it was one agent, one step, one answer. And then it's back to me to type the next thing. And the problem with this is like big jobs take forever because everything has to wait its turn, and you never really get to see the work happen as well.

You don't really get to visualize it. Whereas for example, if you're using Ruffalo with agent swarms, you can just add one mission, watch the agents go off and do stuff, and watch your team actually go off and build it. And I always say like, you know, using Claude or using Ruffalo sounds technical, blah, blah, blah. We've actually seen loads of people who have never used AI before, as you can see, get results with this.

And if you're thinking about using this, commit to it, right? Get it done today because you've just seen it, one person commanding a whole team of agents at once. I'm going to show you exactly how Ruffalo runs a swarm and why it's so powerful, but promise yourself one thing, you'll finish this guide and you'll launch your first Ruffalo mission today because it will help you learn how to manage teams of AI agents and save a lot of time. So this is a framework I call the Goldie Ruffalo constellation, and you've got several parts to this.

So let me explain the five layers. Number one is the mission, right? What Ruffalo is. So Ruffalo is a dedicated home for running a whole team of agents on one job, right?

It's not a chat, it's a platform, it's built for swarms from the team behind Ruffalo. So you bring the goal and it brings the team. So you can see, for example, here, you can give it a goal. Now, once you've done that, you can hit launch swarm, as you can see right here, and it launches the mission.

So you can type what you want in one sentence into Ruffalo, no setup, no coding, no picking which agents to use what, they just go off and get stuff done. And then you can watch it live. This is the constellation. So you've got 14 specialist agents appear.

This is inside the agent operating system, and this is how I'd recommend you build it out. If you've never used an agent operating system before, it's going to save you a lot of time. You could do this directly inside a Cloud Code terminal, but it wouldn't look as good and also be more difficult to manage. And then from there you get the answer, right?

So it assembles itself as it goes along. And then finally you have the loop. And this is why it's so powerful because Ruffalo on its own is an engine, but if you have an operating system or a mission control you've built, it's a team you can see, you can save, you can replay. And also it's got a shared memory with Obsidian and that shared memory feeds every agent your business context.

So the answer sounds like you, not generic stuff. Now you might say, okay, what are some use cases for this? Well, you could use it just for goals. You could use it for planning.

You could use it on a live agent dashboard. You could have a shared memory between all your agents as well. And you can actually wire it to MCP tools as well, which is pretty cool. So it could be like, okay, build me a full launch plan for this new project I'm working on or research the top 10 competitors in my niche and tell me where the gaps are between me and them.

Or for example, draft a 30 day content plan and a matching email sequence, right? And the bigger the job, the better Ruffalo is going to be because it has a whole team of AI agents working together. So if you're thinking about like, you know, when to use this versus other stuff, I would use Ruffalo for the big jobs, you know, the launch plan, the deep research, the full content, the multi-step strategies. For a quick like what's the weather type of question, obviously you're not going to use an agent swarm.

And here's the thing worth thinking about, right? This is brand new. So the people would learn to run a whole team of agents now are going to be miles ahead when everyone else catches up and every mission you create trains you as well. So you're training an agent, but it's also training you on how to manage agents, which is a skill in itself.

And every replay sharpens your skills, right? So the skill keeps building on itself. I mean, a lot of people read this and think, oh yeah, that's cool, but never try it. You don't want to be like that.

You want to actually implement this stuff. You might also ask, okay, what are the benefits of this? Well, number one, you stop doing AI alone. So one mission can have a whole team of agents.

Number two, you can actually see the work, especially if you've got the agent mission control. Additionally, if you've got a whole workspace, like you can see right here, then you can save everything. You can see what you've created later, right? And that saves a lot of time too.

You also get one clean answer. You can keep every run. And also it sounds like you, because it's sharing your memory from Obsidian and you stay current and everything. So basically you have one mission in and then you get a whole team out.

Now, if you're wondering how to install this, you could get it set up yourself. So you can just plug this GitHub into Claude. If you want my setup for doing this with the whole agent operating system, the workspace, the chat, we've even got ultra code, which is an alternative to this as well. It's just come out from Anthropic in a very similar way.

Plus the whole Rufflow swarm section. Then you can get my setup inside the AI Profit Bordering. Link in the comments description or go to the aiprofitborm.com. You get the zip file, you get the Rufflow tab, the live node graph, every prompt plus the shared memory setup.

We've actually got a 30 day plan for implementing Rufflow, daily updates when new stuff comes out and weekly coaching calls where you can share your screen, ask questions about your setup, et cetera, and a 30 day swarm roadmap plus a member map to connect with other people near you. Link in the comments description or go to the aiprofitborm.com and you can grab the agent OS section right here. It comes with a video tutorial. We show you when we last updated it and also we've got a zip file that you can just download and install from there.

Thanks for watching. Hope to see you on the next one.