The Hermes agent swarm feature is the free Hermes Workspace update that turns one AI agent into an entire team.
Single-agent workflows are slow.
Each step happens one at a time.
Long tasks take ages.
Hermes agent swarms fix that.
Multiple agents run in parallel.
One plans, one builds, one reviews — all at once, all coordinated automatically.
This post is the full walkthrough.
What Hermes Agent Swarm Is
A new feature inside Hermes Workspace.
Free.
Created by community contributor Eric.
Lets you run a team of Hermes agents simultaneously.
Each agent has:
- A role.
- A model.
- A mission.
- Memory.
The orchestrator (called Aurora) routes work between them.
You give the team a goal.
It figures out how to get there.
What's New In This Update
Three things to know:
1. Agent swarms — run multiple agents in parallel.
2. Phone access — control your swarm from mobile.
3. Auto-routing — give it a goal, it composes the routing plan.
This is one of the biggest free updates Hermes Workspace has shipped.
Setting Up Hermes Agent Swarms
Step 1 — Install the plugin
Use the free plugin (the one Eric created).
Run the install command in your terminal — it sets up Hermes Workspace.
Step 2 — Run Hermes gateway
Standard Hermes startup.
Step 3 — Start the workspace UI
Connect to Hermes Workspace on your local host.
Step 4 — Update if existing
If you already had Hermes Workspace, click Update first.
The swarms feature only works on the latest version.
Step 5 — Open the Swarms section
Left sidebar in Hermes Workspace.
Click "Swarms".
You'll see workers for planning, routing, reports, and more.
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Adding A Swarm Agent
In the Swarms section:
- Click "Add swarm" (top right).
- Pick a role from presets:
- Builder
- Reviewer
- Triage
- Lab
- Sage
- Scribeex
- Each role has preset system prompts and skills.
- Or click "Custom" — full control over system prompt, mission, skills.
The Main Agent (Aurora)
At the top of your swarm sits Aurora — the orchestrator.
Her job:
- Receive your mission.
- Decide which sub-agents handle what.
- Route work between them.
- Compile results.
You give Aurora a mission.
She compiles a routing plan.
The team executes.
Real Mission Example
From the demo:
"Create a new AI automation blog for SEO + plan keyword strategy + create the content. I want to rank for AI agent community related terms + send traffic to [URL]."
Aurora composed a plan:
- Research agent gathered keyword data.
- Strategy agent planned the content calendar.
- Builder agents created the actual blog posts.
- Reviewer agents checked the work.
Result: full blog with keyword research, competitor analysis, content brief, templates, and a 90-day content plan — built in 5-10 minutes.
That's the power of the swarm.
What You See In The UI
The Swarms section gives you:
- Office view — round table or grid showing every agent.
- Per-agent terminals — see what each agent is doing in real time.
- File outputs — all generated content saved locally.
- Browser preview — open generated work in your browser.
- Blocked vs ready agents — instantly see what needs attention.
Compare this to managing 5 separate Hermes terminals.
This is a real upgrade.
Phone Access
Hermes Workspace's phone access works for swarms too.
You can:
- Trigger a swarm from your phone.
- Check progress on the go.
- Approve outputs remotely.
Your agent team running 24/7 in your pocket.
This pairs naturally with OpenClaw Aion UI's phone access.
When To Use Swarms (And When Not)
Use swarms when:
- The task has multiple distinct phases (research → write → review).
- Output quality matters.
- You want speed via parallelism.
- The mission is too big for one agent.
Skip swarms when:
- The task is small.
- You're prototyping.
- You're doing single-step work.
For one-off chats, single-agent is fine.
For production work, swarms are the upgrade.
Common Setup Issues
1. Agent showing "blocked".
Click the agent.
Check its settings — usually wrong API selected.
Switch to a model the agent can actually use.
2. Plugin install failing.
If you're not technical, ask Claude Code to install for you.
This trick works for most Hermes installs — covered in Free Claude Code.
3. Swarms feature can be a bit buggy.
If you hit issues, ask Claude Code to debug — it communicates with Hermes well.
Models For Each Swarm Role
Don't put every agent on the same model.
Match model to role:
- Researcher — long-context cloud model (Kim K2.5).
- Builder — creative cloud model.
- Reviewer — small fast model.
- Sub-agent in larger swarms — Nvidia Nemotron 3 Nano Omni (designed for sub-agents).
I cover model picks in Hermes Gemma 4 and Hermes DeepSeek.
Daily Reality
What it looks like running swarms daily:
- Morning — give Aurora a content mission.
- Aurora spawns the swarm.
- Multiple agents work in parallel.
- 10-15 minutes later, full output ready.
- I review and publish.
Used to be a half-day task.
Now it's a coffee.
Why Swarms Beat Single-Agent
Three reasons.
1. Parallelism.
Multiple tasks happen simultaneously.
No more waiting for one step before the next starts.
2. Specialisation.
Each agent does one thing well.
Better than a generalist trying to do everything.
3. Scale.
Adding more agents scales output without proportional time investment.
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FAQ — Hermes Agent Swarm
Is Hermes Agent Swarm free?
Yes — free plugin for Hermes Workspace.
Do I need Hermes Workspace installed first?
Yes — swarms run inside Workspace.
How many agents can I run in a swarm?
Hardware-dependent — I run 4-6 agents comfortably.
Can I run swarms from my phone?
Yes — Hermes Workspace supports phone access.
Will swarms work with cloud models?
Yes — but local Ollama models are cheaper for high-volume swarms.
What if a swarm agent gets stuck?
Check its API settings.
Most stuck agents are model misconfiguration.
Can I create custom swarm roles?
Yes — fully customisable system prompts, missions, and skills.
Related Reading
- Hermes Agent Workspace — broader Workspace overview.
- Hermes Open Web UI — channel integration.
- Kimi K2.6 Agent Swarms — model-side swarms.
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The Hermes agent swarm is the free upgrade that turns one Hermes agent into a full team — worth installing today if you're doing serious agent work.