Your Hermes Agent Won't Save Your Company. This Might.
Running a company with AI agents sounds great until you have to get those agents talking to each other. On this channel, we've used Hermes for a lot of solo work. But when you have teammates and everyone has their own assistant, things fall apart fast. Discord worked for quick chats, but it's not built for documents, threads, or people who don't want to learn AI. We also tried Monday.com and ClickUp, but the per-seat costs added up. Then Kylon reached out for a test, and it happened to solve the exact problem we had.
The invoice test
The clearest win for us was invoices. Yesterday, Martin closed a deal with Buddy Bites for Doc HK homepage ads. We set up a private accounting room in Kylon with just the people who need to see it. Then we added a Kylon agent, Kylo Ren, trained on our past invoice samples. Martin tells Kylo the deal details, and the agent generates the invoice with our bank details and styling. But we still loop in our accountant. She checks the final document before it goes out. She doesn't know AI and doesn't want to learn. She just reads the messages and checks the invoice. That's the whole workflow. The agent does the formatting. The human does the final check. No one has to learn a new tool or pick a model.
That's a big difference from Codex or other setups where you have to choose the right model for every task. In Kylon, the model is picked for you. You just describe the work.
Migration and MCP chat
The second thing Kylon got right is the migration process. We expected to rebuild our agents from scratch, but Kylon gives you two options. You can use Kylon's own hosted agents, which need no setup. Or you can bring your own Hermes agent by copying one prompt. We did that with Ultron, our current super agent. Ultron now lives in our Kylon chats and can join rooms. For example, we hooked Ultron and Kylo up to our Super Bash website's GitHub repository so they understand the scope of work. Then we invited both agents into a room and asked Ultron to brief the group on what it had been doing. The agents talked to each other over MCP, shared what each was responsible for, and that was it. On Discord, when AI agents talk, the chat thread becomes huge and unreadable. Kylon was built for this kind of machine-to-machine communication, so the exchange was short and clean.
Before this, we often had one person solo-tank a project because getting different agents to coordinate was too hard. That's not how a company should run. Kylon became the glue, and that was a communication breakthrough.
Cost and connections
Kylon is not free. It starts at $100 per month and includes 1,000 usage credits. That sounds steep, but compare it to ClickUp or Monday.com. Those tools charge per seat, and once you add accountants, interns, and external people, the bill balloons. Kylon charges per work done, not per seat. You can also bring your own agents with your own API keys, which balances the cost. If you use Kylon's hosted agents, you burn credits faster. But we mostly use our own Hermes agents inside Kylon, so the base price covers the rooms and the communication layer.
Connections are another big plus. Kylon has built-in integrations for Gmail, GitHub, Google Analytics, Notion, ClickUp, and MCP servers. For example, we can let an agent check Google Analytics for the BoxMining AI website and decide what content to make next. I've set up similar connections for Hermes before, but on Kylon it's click and done. That ease of setup matters when you're running a company and don't have time to babysit integrations.
For the first 200 users, there's a $100 off deal in the description, so you can try the full feature set for free. The practical call is this: if you have a small team with multiple AI agents and you're tired of per-seat pricing, Kylon is a serious option. The per-usage model and MCP agent chat are the real differentiators. Just know the $100 monthly base cost before you commit.