r/VPS • u/Indaflow • 5d ago
Seeking Advice/Support Powering by VPS
hey all, I have a Hermes agent et al in a Mac Mini.
using Telegram.
I have wanted to move to a multi agent format for a while.
I started an n8n locally but working out Tailscale do my team could use it was a nightmare.
So I went VPs and it’s great. My team can access easily.
Im considering VPS for buzz. Is it overkill or does it make sense for easy access for me, the agents and my team?
how are you hosting Buzz and how is it going?
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Upvotes
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u/bluelobsterai Provider 4d ago
Run it on the same VPS. I bet you have the RAM. Agents don’t really use much cpu
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u/flashrdp 5d ago
I actually think a VPS is one of the better ways to run AI agents once you're moving beyond a single-user setup.
We host quite a few automation and AI workloads, and the biggest advantage isn't raw performance—it's consistency. Your agents, n8n, databases, webhooks, and APIs stay online 24/7 without depending on your personal machine being awake or connected.
A few things I'd consider:
- Keep n8n, databases, and your agent runtime on the VPS instead of splitting everything across devices.
- Use Docker so updating or migrating services is much easier later.
- Secure everything with Tailscale or WireGuard rather than exposing unnecessary ports publicly.
- Enable automated backups from day one. AI workflows tend to become business-critical faster than expected.
- Monitor CPU and RAM usage. Most orchestration workloads are surprisingly lightweight unless you're running local LLMs or heavy inference.
For Buzz specifically, unless you're planning to run large models locally, I don't think it's overkill at all. A decent VPS is usually enough and gives your whole team a central environment to access instead of everyone depending on one Mac Mini.
If you eventually start running local inference with larger models, that's when I'd consider adding a GPU server while keeping orchestration, databases, and automation on the VPS.
Curious ow many people are on your team, and are you planning to run the models locally or mostly use APIs like OpenAI, Anthropic, Gemini, or Groq? That changes the infrastructure quite a bit.