Run a Separate Hermes Agent per Domain with Docker

Melvin Vivas · X post · 2026-07-25 · Open on X

Topics: AI Agents, Tool Use & MCP, LLMOps, Deployment & Monitoring · Level: intermediate

Summary

A short architecture tip: give each domain its own Hermes agent and isolate each one in a Docker container. This keeps each agent's context, tools and data separate.

Key points

• Use one agent per domain instead of one agent for everything.
• Run each agent in its own Docker container to keep it isolated.
• Isolation keeps each agent's memory, tools and credentials separate.
• Containers make it easy to add more domain agents.

Resources mentioned

• Hermes Agent · tool · github.com · free
  Nous Research's open-source AI agent with CLI, TUI and desktop interfaces. It now supports hands-free activation with a wake word.
  Also in: Inspecting Coding-Agent Traces Live with JSONL Viewer (Codex, Claude Code) (Melvin Vivas on X · notes), Hermes Agent: each bot is its own profile (Melvin Vivas on X · notes), An X research bot built with Hermes (Melvin Vivas on X · notes), Run Your Hermes Agent on Free LFM2.5-2.6B via OpenRouter (Melvin Vivas on X · notes) and 55 more
• Docker · tool · docs.docker.com · free · recommended by both Bashiri Smith & Melvin Vivas
  Containerize everything you ship.
  Also in: Deploying AI workflow integrations with Apache Camel in Docker (Melvin Vivas on X · notes), Devin's cloud Ubuntu sandbox ships with Docker pre-installed (Melvin Vivas on X · notes), 7 Habits to Become an AI Engineer: Books, Tooling, Research & Shipping (Bashiri Smith on Facebook · notes), 8-Week Roadmap to a $200K+ AI Engineering Role (Bashiri Smith on Facebook · notes) and 5 more

Try this

• Containerize each domain agent with Docker.
• Set up several domain-specific Hermes agents, each in its own Docker container.