AI agent orchestration systems can automatically select appropriate agents, tools, and models for complex tasks by breaking down objectives into sub-tasks and routing them to specialized agents, eliminating the need for manual configuration and significantly improving workflow efficiency.
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Deep Dive
Hermes Agent Curator is INSANE!Added:
Hermes Agent Curator is insane, and I mean that. This new feature inside Hermes Agent just changed how AI agents get built. You don't pick the agent anymore. The agent picks itself. Let me show you what's going on. So, Hermes Agent is this open-source AI agent platform. It's been around for a bit.
People love it because it runs local, is free, and you can plug in any model you want. Claude, GPT, Gemini, core models like Ollama, whatever you want. It just works. Here's the thing. Up until now, you had to do all the setup yourself.
You'd go in, pick your agent, pick your tools, pick your model, write your prompt, set your task, hit go, and if you picked the wrong agent for the job, bad output, waste your time, start over.
That part is gone. The new Curator feature does it all for you. You just say what you want, picks the right agent, picks the right tools, picks the right model, builds the team, and then it runs the job. It's like hiring a manager who already knows every worker on your team. You walk in, tell them the goal, and they sort it all out. You don't even have to know who does what.
Let me back up. Hermes Agent V1.3 just shipped this update. Curator is the headline feature, and it's way bigger than people are saying right now. Most folks are still building agents the old way. One agent, one job, tool. That's slow. That's hard, and it doesn't scale.
Curator flips this, looks at your task, breaks the task into smaller jobs, then it picks the best agent for each job.
Some jobs need a research agent. Some jobs need a writer. Some jobs need a coder. Some need a planner. Curator knows, picks, it runs them in the right order, and it pulls the answer out the other side. Think about that for a second. You used to need to know how AI agents work. Now, you don't. You just need to know what you want. System figures out the rest, and the speed is wild. People testing Curator are saying jobs that used to take 30 minutes now take five. Not because the AI got faster, because the right agent got picked the first time. No wasted runs, no bad outputs, no starting over. Here's a quick example of how this would work in real life. Say you run a small business, and you want a full content plan for next month. You tell Curator, "Pull a research agent to find what's trending, Writer agent to draft the posts. Planner agent to map the dates.
Reviewer agent to check the work. All on its own. You just hit go. That's one task. Prompt. Full month of content done while you do something else. Let me dig into how Curator actually works under the hood because this part matters.
Curator has three main parts. The first part is the task reader. Reads what you wrote. Looks at the words. Looks at the goal. It tries to understand what you really want. Not just the surface ask.
The full job. Second part is the agent picker. Looks at every agent you have set up. Looks at every tool. Looks at every model. And it scores them. Which agent is best for this job? Which tool will help most? Which model is fastest and cheapest for this kind of work? The third part is the runner. It takes the plan. Runs the agents in order. Hands the output of one to the input of the next. And gives you the final answer.
Without you doing anything. The cool part is the picker learns. The more you use it, the better it gets at picking.
It sees which agents you keep. Which ones you reject. Which jobs got done well. Which ones flopped. And it adjusts. Now here's where it gets interesting. Curator works with the Kanban feature Hermes shipped a couple of versions back. So if you're already running multi-agent Kanban, Curator just slots in on top. It's the brain that picks who works on which card. For folks who haven't seen Kanban inside Hermes, it's like Trello but for AI agents. Each card is a job. Each column is a stage.
And the agents move the cards. For Curator, you don't even have to assign agents to cards. It just does it. Let me give you another quick example. Say you want to grow your email list. You drop one card on the board that says grow my email list this month. Curator takes that card. Breaks it into smaller cards.
One for the lead magnet. One for the landing page copy. One for the email sequence. One for the social posts. Then it picks an agent for each. And it runs them. You wake up. The work is done.
That used to take a team. A freelancer.
A full weekend. Now it's one card. Now I want to be straight with you. This isn't magic. Curator is only as good as the agents you give it. If you only have one agent, it picks that one every time. If you have 10 well-built agents with clear jobs, it shines. So, the setup still matters. You just don't have to do the setup every single time you run a task.
That's the unlock. The other thing worth saying, Curator doesn't always pick right. Sometimes it picks an agent that isn't the best fit. The team behind Hermes is open about this. They built a feedback button right into the tool. You hit thumbs down, learns. Next time it picks better. So, you're training your own little manager over time. And it's all open source. So, you can see the code. You can change it. You can add your own agents. You can plug in any model. There's no locked-in tool here.
That's a big deal because most AI agent tools right now want to lock you in. Let me talk about who this helps the most.
If you're a small business owner and you've been scared of AI agents because the setup felt too hard, this fixes it.
You don't have to be a coder. You don't have to know which model is best for which job. You just describe the work.
Curator handles the rest. If you're already using AI agents, this saves you hours every week. You stop tweaking. You stop testing. You just ship. If you run a team, this is bigger because now one person can run the work of five. Not because they're working harder, because Curator is doing the picking and routing they used to do by hand. And this is week one of Curator. The team is already talking about version 1.4. They're adding memory across runs. So, Curator will remember what worked last time.
They're adding cost tracking. So, you'll see exactly which agents and models cost you the most time and effort. They're adding agent sharing. So, you can grab agents other people built and drop them in your Curator pool. When that ships, this gets even faster. You won't even have to build your own agents. You'll just download good ones, drop them in, and let Curator pick. Let me zoom out for a second because there's a bigger story here. AI agents have been around for a couple of years now, but most folks gave up on them. Why? Setup was hard. Picking the right agent was hard.
Running them in the right order was hard. So, people went back to chat.
Question. One answer. Done. Curator fixes the part that was broken, the picking, routing, the setup. That was the wall most people hit. Now the wall is gone. And here's what that means. AI agents are about to become normal. Not for coders, for everyone. Because the hard part just got easy. The same way email got easy when Gmail came out. The same way websites got easy when Squarespace came out. Hermes Curator is doing that for AI agents. I keep saying this on the channel. The tools that win are the tools that hide the hard parts.
The user doesn't want to know how it works. They want it to work. Curator gets that. Okay, I want to talk about one more thing before we wrap up, risk side. Because I'm not going to sit here and only talk about the upside. Curator picks agents on its own. So, sometimes it picks one you didn't expect. That can be good. It can also be bad if you don't watch the output. So, set it up to show you the plan before it runs. Hermes lets you do this. You see the agent list. You see the steps. You hit approve. Then it goes. If you skip that step, you might get surprised. Run it the safe way for the first week. Check the plans. Once you trust it, you can let it run on its own. Also, Curator can rack up token use fast because it's running multiple agents per task. If you're using a paid model, watch the bill. If you're using local models like Ollama or LM Studio, you don't have this problem. Just runs on your machine. That's another reason a lot of folks are pairing Hermes with local models right now. Here's the trend I'm watching. AI agent tools are splitting into two camps. The first camp wants to lock you in. Close source.
Their tools. Their models. Their pricing. The second camp is open. Open source. Any model. Any tool. Hermes is in the second camp. So is Open Claw. So is a few others. And the open camp is winning because folks like control.
Curator just made the open camp way stronger because now the open tools are not just open. They're easy, too. That used to be the closed tools edge. It's gone. So, if you've been waiting to get into AI agents, this is the moment. Not because of hype, because the wall came down. That setup was the wall. Curator removed it. I want to leave you with one thought. The folks who learn this stuff in the next 90 days are going to be way ahead. Because in 90 days, Curator and tools like it will be normal. Everyone will be using them. The early movers will already have their workflows built.
They'll already have their agent library set up. They'll already know which prompts work. Don't wait until everyone is doing it. Get your agents set up now.
Learn the picker. Test the Kanban flow.
Build your library. So, when this becomes a standard, you're already running it. Day one is your first agent.
Day five is your first curator setup.
Day 15 is your first Kanban board. Day 30 is your full agent library running on its own. Step-by-step videos every single day. Four coaching calls every week where we go deep on Hermes agent setups, your real workflows, your real questions. Plus a member map so you can connect with other Hermes users near you and get help anytime.
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