HERMES AGENT IN PRODUCTION: Self-Host, Secure, Deploy, and Operate Always-On AI Assistants

Move Beyond AI Agent Demos and Build a Hermes System You Can Trust in ProductionHermes 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 deploymentsComplete 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.