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Self-Hosting AutoBot: A DevOps Deep Dive into Docker Compose, Model Sizing, and Production Ops

DEV Community·Mārtiņš Veiss·6 months ago
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You've seen the demos. You want to run AutoBot on your own hardware, your own data, under your own control. Good instinct. Here's the full operational picture — Docker Compose internals, how to match LLM models to your GPU or CPU, and the production habits that keep things stable long-term.

Why Self-Host?

AutoBot's tagline is "Your data. Your AI." That's not marketing copy — it's an architectural choice. When you self-host:

Conversations never leave your network

You choose which models run (open-weight, cloud API, or a mix)

Upgrade timing is yours to control

No per-seat pricing surprises

The trade-off is operational responsibility. This post is about making that trade-off comfortable.

Docker Compose Deep Dive

AutoBot ships with a docker-compose.yml that wires together several services.…

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