HERMES AGENT IN PRODUCTION

Move Beyond AI Agent Demos and Build a Hermes System You Can Trust in Production

Hermes Agent can remember, use tools, browse the web, execute commands, communicate through messaging platforms, and run scheduled workflows. But turning those capabilities into a dependable, always-on system requires more than installation and prompting.

Hermes Agent in Production gives you a practical, step-by-step framework for building, securing, deploying, and operating professional Hermes Agent environments.

Throughout the book, you will assemble the Atlas Private AI Operations Platform-a complete reference deployment designed around isolation, observability, controlled automation, persistent state, and reliable recovery.

You will learn how to:

• Install and run Hermes with systemd, Docker, and Docker Compose

• Create isolated profiles with separate identities, memory, tools, and credentials

• Route workloads between hosted and local language models

• Build reusable skills and secure MCP integrations

• Design dependable browser, messaging, and scheduled workflows

• Defend against prompt injection and persistent memory contamination

• Apply least-privilege access, secret management, and human approval controls

• Monitor services, sessions, jobs, model latency, tool failures, and infrastructure

• Test workflows with golden tasks, completion contracts, and failure injection

• Back up, restore, upgrade, troubleshoot, and recover production deployments

Complete templates, configuration files, checklists, policies, worksheets, tests, and incident runbooks are included inside the book-no companion download is required.

Whether you are a developer, AI engineer, DevOps professional, system administrator, consultant, or privacy-conscious self-hoster, this book will help you transform Hermes Agent from an impressive experiment into secure, observable, recoverable infrastructure.