Thoughts after building with Hermes Agent

I've been exploring Hermes Agent over the past few days to understand how it approaches long-running AI agents and agent memory. Some features that stood out to me: • Three isolated agent profiles with separate memory and configuration • Multi-tier memory using Markdown, SQLite, and optional external providers • Self-evolving skills that agents can create and improve • Curator for reviewing and pruning agent-generated skills • GEPA for offline validation of skill improvements • Built-in support for MCP servers, scheduled tasks, and multiple execution backends What I found most interesting is that Hermes separates identity (SOUL.md), memory, and skills into different components instead of putting everything into one giant prompt. For people who have used Hermes in production: Has the self-learning workflow actually been useful? How does it compare with Claude Code, Codex, Cursor, OpenCode, or other agent frameworks? Are you relying on agent-generated skills or mostly writing them manually? I wrote a detailed guide covering installation, architecture, memory, GEPA, Curator, Profile Builder, and custom skills. If anyone wants the full walkthrough, let me know, and I'll share it in the comments.