Hermes Agent Changed How I Think About AI Agents: From Answer Engines to Skill-Building Systems

Hermes Agent changed the writer’s view of AI agents by showing how they can build on past work, not just answer one task at a time.

The article argues for a “skill layer” where agents retain reusable lessons and improve through repeated use.

It favors a local, CLI-first workflow over simple tool calls, making agents more practical for multi-step work.

The core idea is that AI agents become more valuable when they turn one-off automation into lasting, improving systems.