6 posts
Hermes Agent by NousResearch — with a Skills system, persistent memory, Cron scheduling, and parallel sub-agents. This is the series overview to help you navigate and jump to the right article.
Hermes Agent by NousResearch isn't just another AI chat tool — it solves the deployment layer, memory layer, and multi-platform integration problem for AI Agents. This article helps you build the foundational worldview.
Skills are Hermes Agent's most core design — not prompts, not plugins, but installable, shareable, agent-creatable procedural memory. This article takes you from concept to implementation.
MEMORY.md and USER.md are the core of Hermes Agent's memory — persistent across sessions, with capacity limits, actively managed by the agent. This article breaks down the design philosophy of the memory system, and what to store versus what not to store.
Hermes Agent's most powerful layer — let tasks run automatically at 3am, split large work across three parallel sub-agents, and use execute_code to compress multi-step workflows into a single LLM turn.
Connect Skills, memory, and automation to real scenarios — daily briefing generation, code review, multi-platform delivery, and how Hermes and Claude Code should work together.