Use Hermes Agent like a small team, not one all-purpose bot
works best when one assistant is split into clear roles instead of being asked to handle every decision alone. One agent can plan the main goal and break it into smaller tasks, another can gather research, and others can handle writing, SEO, development, automation, client work, or project management.
Inside an Agent OS-style workspace, tools such as Hermes, Claude, Kimi, and GLM can share the same work history so the same project does not need to be explained again each day. ’s async subagent feature also lets long jobs run in the while the main chat stays usable.
A delegated task returns a task ID right away, and the work can then be checked, guided, collected, canceled, or listed later. The practical setup is to give each agent one narrow job, define what it must hand off, and use for work that would otherwise block the main conversation.
Key points
- Create focused agent profiles instead of one general agent for .
- Use a planning agent to split a goal into smaller tasks.
- Use a research agent to prepare the context before execution starts.
- Use for long work so the main chat does not freeze.
- Track delegated work with a task ID, then check, steer, collect, cancel, or list it.
Sources covering this story (8)
- r/AISEOInsiderUse Hermes Agent like a small team, not one all-purpose bot ↗
- r/AISEOInsiderBuild An Agent With Claude And Agent OS Is Actually INSANE ↗
- r/AISEOInsiderClaude Agent OS Controls 6 AI Layers From One Dashboard ↗
- r/hermesagentHermes Agent Ships Asynchronous Subagents: Delegated Work No Longer Blocks the Parent Chat ↗
- r/AISEOInsiderAI Agent Operating System Runs Multiple Hermes Subagents At Once ↗
- r/AISEOInsiderHermes Agent With Claude And Fusion Builds Smarter Agent Teams ↗
- r/AISEOInsiderAI Operating System Examples Using Hermes Agent, Claude, And GLM 5.2 ↗
- r/AISEOInsiderHermes Agent With Claude Code Builds A Powerful AI Team ↗