🚀 Hermes Agent Just Added a Kanban Board — And It Changes Everything

Source: Dev.to

Most AI agent frameworks have a problem.

You can create agents.
You can give them tools.
You can even make them collaborate.

But as soon as your workflow gets complex, things start breaking down.

• 📌 Tasks become difficult to track.
• 📌 Dependencies become messy.
• 📌 You lose visibility into what’s running.
• 📌 Outputs become disconnected.
• 📌 Coordination becomes manual.

The new Hermes Agent Kanban Board solves exactly that problem.
After spending time with it, I genuinely think this is one of the biggest upgrades Hermes Agent has shipped so far.

To test it, I orchestrated an entire product‑launch campaign using multiple specialized AI agents working together inside a single workflow. What happened was pretty impressive.

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🤔 Why Most AI Workflows Fall Apart

Most AI tools today are conversation‑driven. The workflow usually looks like this:

1. 💬 Open a chat
2. ✍️ Write a prompt
3. 📄 Copy the output
4. 📋 Paste it somewhere else
5. 🔄 Repeat 20 more times

Eventually you’re juggling:

• Multiple chat windows
• Notion pages
• Google Docs
• Spreadsheets
• Task trackers

The AI may be smart, but the workflow isn’t. That’s where Hermes Kanban enters the picture.

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🎯 What Exactly Is Hermes Kanban?

Hermes Kanban is a visual workflow‑orchestration system built directly into Hermes Agent. Instead of managing agents through separate chats, you coordinate everything through a task board.

You get:

• ✅ Task assignment
• ✅ Dependencies
• ✅ Parent‑child relationships
• ✅ Parallel execution
• ✅ Live logs
• ✅ Workflow visualization
• ✅ Artifact management

Think of it as:

🧠 AI Agents + 📋 Trello + 🎯 Workflow Automation

—all inside a single system.

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🎥 Watch The Full Walkthrough

In the video I cover:

• ✅ Installing Hermes Agent
• ✅ Creating specialist agents
• ✅ Setting up web search
• ✅ Building Kanban workflows
• ✅ Managing dependencies
• ✅ Running tasks in parallel
• ✅ Reviewing outputs
• ✅ Publishing final deliverables

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🔥 The Feature That Immediately Got My Attention – Task Dependencies

This sounds simple, but it’s incredibly powerful. Imagine you’re launching a product. Before creating content you need:

1. 🔍 Audience Research
2. 📊 Messaging & Positioning

Only after that can you create:

• ✍️ Blog Posts
• 📧 Email Sequences
• 📱 Social Content
• 🎥 YouTube Scripts

With Hermes Kanban those relationships are explicitly defined:

Audience Research
       ↓
Messaging & Positioning
       ↓
Landing Page   Blog Posts   Emails   Social Posts   YouTube Scripts

Every downstream task can reference outputs generated by upstream tasks, turning a collection of isolated prompts into a true workflow.

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⚡ Parallel Agent Execution Is Where Things Get Interesting

Once positioning was complete, I launched five content‑generation tasks simultaneously:

• ✍️ Landing Page Creation
• 📝 Blog Writing
• 📧 Email Sequence Generation
• 📱 Social Media Content
• 🎥 YouTube Script Creation

All ran at the same time, automatically orchestrated by the system. Watching multiple AI agents execute work in parallel felt less like using a tool and more like managing a real team.

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👥 Building a Team of Specialized AI Agents

For this demo I created four specialist agents:

Each agent had its own:

• 🧠 Memory
• ⚙️ Configuration
• 📖 Instructions
• 🎯 Responsibilities

This specialization dramatically improves output quality.

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👀 Seeing What Your Agents Are Doing

Transparency is a huge win. Every task provides:

• 📜 Execution logs
• 📊 Status updates
• 📂 Generated artifacts
• ⏱️ Progress tracking

Instead of wondering “What is my agent doing right now?” you can actually see it—essential for complex workflows.

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🚀 My Demo Workflow: Launching Momentum

To showcase the Kanban board I built a launch workflow for a fictional product called Momentum (an AI‑powered habit tracker that adapts to your natural energy patterns).

🔍 Audience Research
        ↓
📊 Messaging & Positioning
        ↓
✍️ Landing Page   📝 Blog Posts   📧 Email Sequence   📱 Social Posts   🎥 YouTube Scripts
        ↓
🔍 Content Review
        ↓
✅ Final Revisions

The marketing campaign itself wasn’t the interesting part; the interesting part was watching Hermes Kanban coordinate the entire process.

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🧩 The Reviewer Agent Was Surprisingly Useful

After all content was generated, the Reviewer agent analyzed:

• 📧 Emails
• 📄 Landing Pages
• 📝 Blog Content
• 📱 Social Posts
• 🎥 Scripts

and checked for:

• ✅ Consistency
• ✅ Clarity
• ✅ Accuracy
• ✅ Tone

It identified several issues and produced actionable feedback. I then created a final task where the Writer agent consumed that feedback and automatically updated all assets—a genuine feedback loop between agents, just like real teams.

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🌎 This Goes Far Beyond Marketing

The marketing workflow was just a demonstration. The same approach can be applied to:

• 💻 Software Development – Research → Design → Code → Review → Documentation
• 📈 SEO Operations – Keyword Research → Content Brief → Writing → Optimization
• 🧪 Research Projects – Data Collection → Analysis → Reporting
• 🚀 Startup Execution – Research → Strategy → Outreach → Growth

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Hermes Agent Kanban turns fragmented AI interactions into a cohesive, visible, and controllable workflow—making complex AI‑driven projects feel like managing a real, collaborative team.

📰 **Content Teams**

Research → Writing → Editing → Publishing  

Anywhere you have a repeatable workflow, **Hermes Kanban** becomes interesting.

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💡 **Why I Think Hermes Kanban Is A Big Deal**

Most AI products focus on conversations.  
Hermes Kanban focuses on workflows.  

That’s a major difference.

Instead of:

👤 Human → 🤖 AI

you get:

👤 Human → 👥 AI Team

- One agent researches.  
- One analyzes.  
- One writes.  
- One reviews.

The workflow coordinates everything.  
You supervise.

That feels much closer to the future of AI systems than simply chatting with a chatbot.

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💬 **What Would You Build?**

The most exciting part of Hermes Kanban isn’t marketing automation.  
It’s the ability to coordinate teams of AI agents through structured workflows.

I’m curious:

👉 **What workflow would you automate first?**  

- Product development?  
- Content operations?  
- Research?  
- Customer support?

Let me know in the comments.