AI Agent Docker Compose Deploy 2026

Deploy an AI agent stack with Docker Compose: a copy-ready compose file, key commands, and production notes.

💡 What You Will Learn

Deploy an AI agent stack with Docker Compose: a copy-ready compose file, key commands, and production notes.

A production AI agent rarely runs as a single process: API server, vector store, cache, queue, and model runner. Docker Compose declares all services in one YAML file and manages them with one command - the de-facto standard for single-machine deployment. This tutorial provides a copy-ready compose file: an api service (build from ./agent), redis (cache/rate limiting), postgres (data/vectors), and optional ollama (local models), wired with healthchecks, depends_on conditions, named volumes for persistence, env_file for secrets, and restart policies. Commands: docker compose up -d / logs -f api / ps / restart api / pull && up -d / down. Production notes: set mem_limit per service, cap log size, keep .env out of git, pin image versions. Compose is for single machines; use Kubernetes for multi-node scaling. Docker Desktop works on Windows/Mac; production is best on Linux.