Everything you need to understand and customize Hermes Agent — self-evolving skills, three-tier memory, GEPA optimization, and going from 1 to 10 specialized agents that work for you 24/7.
A complete walkthrough of how Hermes is put together — installation, model routing, terminal backends, messaging, context and memory engines — and how its self-improving loop turns conversations into permanent upgrades.
A layer-by-layer analysis of Hermes mapped to operating-system concepts — memory, profiles, Kanban, cron, /goal, skills, the Curator, Tool Search, the Gateway, voice, and security — plus the compounding effect, token economics, and how it compares to other frameworks.
Most AI memory is a sticky note. This flow breaks down an 11-layer context architecture for Hermes Agent — identity, facts, procedures, session archives, compression, and scheduled routines — and the distinctions that decide whether your agent actually remembers how you work.
A complete map of the eight loops Hermes Agent runs simultaneously — from the millisecond core loop to the weekly Curator — how they nest across timescales, and what breaks when any one of them fails.