Remote OpenClaw Blog
Best Ollama Models for Hermes Agent
4 min read ·
Most people searching for the best Ollama models for Hermes Agent think they have a model problem. Often they actually have a workflow problem with a model question attached to it.
Compatibility note: These marketplace products use OpenClaw naming because that is the live storefront. The fit here is about workflow design, file architecture, and operating structure, not a claim that Hermes Agent and OpenClaw are identical runtimes.
What the Official Docs Actually Support
the Hermes FAQ explicitly lists local models via Ollama as a supported provider path. the Ollama docs and Ollama's Anthropic-compatibility docs make the current local recommendations clearer: qwen3-coder for coding-heavy work and gpt-oss:20b as a strong general-purpose local choice.
Ollama Cloud docs also matters because it gives you a fallback when your local machine cannot comfortably run the bigger model you want.
Best Ollama Choices by Workflow
| Workflow | Best current pick | Why |
|---|---|---|
| Coding and agentic dev tasks | qwen3-coder | Official Ollama page positions it for agentic and coding tasks with long context. |
| General-purpose local assistant | gpt-oss:20b | Official Ollama compatibility docs recommend it as a strong general local model. |
| Local coding alternative | devstral | The official page positions it for software-engineering and tool-using agent work. |
| Weak local hardware | Ollama cloud models | Lets you keep the same local tools while offloading larger models to the cloud. |
What Buyers Usually Miss
Ollama's hardware support guide is the reality check. Local model choice is always downstream of hardware and memory. That means the 'best' model is the one your machine can run reliably for the actual job, not the biggest label on the library page.
Cost Optimizer
Build time: 1 hr. Cost Optimizer: 15 minutes. Your call.
That is also why Launch Kit still fits this topic: a clean workflow with a merely good model usually beats an undefined workflow with a theoretically superior model.
Primary sources
- the Hermes FAQ
- the Ollama docs
- Ollama's Anthropic-compatibility docs
- the qwen3-coder Ollama page
- the devstral Ollama page
- Ollama's hardware support guide
Recommended products for this use case
- Operator Launch Kit — Best paid answer when model choice is blocking progress because the workflow still is not defined.
- Cost Optimizer — Useful free companion if you are comparing local versus hosted model economics.
- Session Supervisor — Useful when your Hermes workload is long-running coding sessions rather than lightweight chat.
Limitations and Tradeoffs
This guide sticks to current official Ollama and Hermes docs rather than community benchmark charts, so the recommendations favor documented fit and setup reality over leaderboard hype.
Related Guides
- Best Models for Hermes Agent
- Best Models for Hermes Agent for SEO and Content Ops
- Best OpenClaw Setup for Kimi K2.6
FAQ
Can Hermes use Ollama locally?
Yes. The Hermes FAQ explicitly lists local models via Ollama and other OpenAI-compatible servers as supported provider paths.
Should I default to qwen3-coder?
Only if your workload is mostly coding or agentic dev work. For general local use, the official compatibility docs also call out gpt-oss:20b.
What is the fastest next step if I do not want to keep DIYing this?
Operator Launch Kit is the most direct next step if the docs answered the technical part of the query but you still want a shaped workflow faster than building every piece yourself.