Hermes AI Assistant Skills for Real Production Setups
The article discusses the Hermes AI assistant, its profile-first architecture, and how to set up Hermes for real-world production use cases.
Why it matters
The article provides insights into setting up Hermes AI assistant for real-world production use cases, which is crucial for organizations looking to leverage the power of AI assistants in their workflows.
Key Points
- 1Hermes treats skills as living state, not frozen packages, requiring a profile-first architecture
- 2Profiles are the real unit of production ownership, with each profile having its own isolated environment
- 3Hermes supports multiple execution backends for security and isolation, and provides automation via cron jobs
Details
Hermes AI assistant is a self-improving agent with a built-in learning loop that creates skills from experience and improves them during use. The article explains that Hermes skills are on-demand knowledge documents, and the production complication is that Hermes treats skills as living state, not frozen packages. To address this, Hermes uses a profile-first architecture, where each profile is a fully isolated environment with its own configuration, environment variables, memories, skills, cron jobs, and state database. This makes profiles the real unit of production ownership, rather than individual skills. The article also discusses the baseline production setup, including how Hermes stores non-secret behavior, secrets, identity, and other data. Hermes supports multiple execution backends for security and isolation, and provides automation via cron jobs that run in fresh agent sessions. The article emphasizes the importance of exposing the smallest useful surface when connecting Hermes to external platforms.
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