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.
And 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 decided to orchestrate an entire product launch campaign using multiple specialized AI agents working together inside a single workflow.
What happened was pretty impressive.
🤔 Why Most AI Workflows Fall Apart
Most AI tools today are conversation-driven.
The workflow usually looks like this:
💬 Open a chat
✍️ Write a prompt
📄 Copy the output
📋 Paste it somewhere else
🔄 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.
And that’s where Hermes Kanban enters the picture.
🎯 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.
🎥 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
🔥 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:
🔍 Audience Research
Then:
📊 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.
This creates a true workflow rather than a collection of isolated prompts.
⚡ Parallel Agent Execution Is Where Things Get Interesting
Once positioning was complete, I launched five content-generation tasks simultaneously.
Suddenly I had:
✍️ Landing Page Creation
📝 Blog Writing
📧 Email Sequence Generation
📱 Social Media Content
🎥 YouTube Script Creation
all running at the same time.
Not one after another.
Not manually triggered.
The system orchestrated everything automatically.
Watching multiple AI agents execute work in parallel felt less like using an AI tool and more like managing a real team.
👥 Building a Team of Specialized AI Agents
For this demo, I created four specialist agents.
🔬 Researcher
Responsible for:
- Competitor analysis
- Audience discovery
- Market research
- Pain point analysis
⸻
📊 Analyst
Responsible for:
- Positioning
- Messaging
- Strategic narratives
- Market differentiation
⸻
✍️ Writer
Responsible for:
- Landing pages
- Blogs
- Emails
- Social content
- Video scripts
⸻
🔍 Reviewer
Responsible for:
- Quality control
- Consistency checks
- Accuracy validation
- Brand alignment
Each agent had its own:
🧠 Memory
⚙️ Configuration
📖 Instructions
🎯 Responsibilities
This specialization dramatically improves output quality.
👀 Seeing What Your Agents Are Doing
One thing I really appreciated was transparency.
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.
For complex workflows, this is incredibly valuable.
🚀 My Demo Workflow: Launching Momentum
To showcase the Kanban board, I created a launch workflow for a fictional product called Momentum.
Momentum is an AI-powered habit tracker that adapts to your natural energy patterns.
The workflow looked like this:
🔍 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.
🧩 The Reviewer Agent Was Surprisingly Useful
Once all content was generated, I handed everything over to the Reviewer agent.
It analyzed:
📧 Emails
📄 Landing Pages
📝 Blog Content
📱 Social Posts
🎥 Scripts
and checked for:
✅ Consistency
✅ Clarity
✅ Accuracy
✅ Tone
It identified several issues and produced actionable feedback.
Then I created one final task.
The Writer agent consumed that feedback and automatically updated all assets.
This created a genuine feedback loop between agents.
Exactly how real teams operate.
🌎 This Goes Far Beyond Marketing
The marketing workflow was simply a demonstration.
The same approach could be used for:
💻 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
📰 Content Teams
Research → Writing → Editing → Publishing
Anywhere you have a repeatable workflow, Hermes Kanban becomes interesting.
💡 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.
💬 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.
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