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

The Hermes Agent framework has introduced a Kanban board feature that enables visual workflow orchestration for complex multi-agent tasks. A developer demonstrated the system by orchestrating an entire product launch campaign, using specialist agents with defined dependencies and parallel execution to generate landing pages, blog posts, email sequences, social media content, and YouTube scripts simultaneously. The Kanban board provides live logs, status updates, and artifact management, allowing users to track task progress and agent activity in real time.

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. 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 The AI may be smart. But the workflow isn’t. And that’s where Hermes Kanban enters the picture. 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. ✅ 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. 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 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. 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. For this demo, I created four specialist agents. Responsible for: ⸻ Responsible for: ⸻ Responsible for: ⸻ Responsible for: Each agent had its own: 🧠 Memory ⚙️ Configuration 📖 Instructions 🎯 Responsibilities This specialization dramatically improves output quality. 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. 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. 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. The marketing workflow was simply a demonstration. The same approach could be used for: Research → Design → Code → Review → Documentation Keyword Research → Content Brief → Writing → Optimization Data Collection → Analysis → Reporting Research → Strategy → Outreach → Growth Research → Writing → Editing → Publishing Anywhere you have a repeatable workflow, Hermes Kanban becomes interesting. 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. 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.