Hermes Agent
One assistant, 200+ brains to choose from — and the memory is always yours.
- Free local per message or API with your key
- Switch models without losing memory
- Control panel + WhatsApp support
Managed plan · no lock-in
Get my Hermes Hermes · AI models
200+ models in Hermes: which to use in each situation
Hermes is model-agnostic: the assistant is one (with your memory) — the brain is pluggable.
TL;DR
The Hermes Agent supports 200+ AI models. Rule of thumb: local as the default (Llama/Mistral via Ollama — free per message, private, runs on your server) and API as the exception (GPT/Claude with your key, for heavy tasks). Switching models does not erase memory — it belongs to Hermes, not to the model. On Rollin Host, everything managed from the panel.
The 30-second decision
Daily use (memory, audio summaries, reminders, drafts, organization): local model. Zero cost per message, data that never leaves the server, great speed for conversation. It is the right default for 90% of personal use.
Heavy tasks (long document analysis, code, complex reasoning): plug in a model via API with your key — GPT, Claude, Gemini — only when needed. You pay the provider for usage, and Hermes remains the same assistant, with the same memory.
Local vs API, in practice
| Local model (Ollama) | API model (GPT/Claude) | |
|---|---|---|
| Cost | Zero per message (just the VPS) | Pay-per-use to the provider |
| Privacy | Nothing leaves the server | Data passes through the provider |
| Power | Great for conversation and organization | Superior on complex tasks |
| When to use | Day-to-day default | Exception, on demand |
| Hermes memory | Kept | Kept (it belongs to the agent, not the model) |
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Frequently asked questions
Which AI models does Hermes support?
Over 200 — in two families: LOCAL models (run on your server via Ollama: Llama, Mistral, Qwen and the like — free per message and private) and API models (GPT, Claude, Gemini — you connect them with your key and pay the provider for usage).
Which model should I start with?
A local one. For day-to-day personal use (memory, summaries, reminders, drafts), local models handle it with fixed cost and total privacy. Plug in an API model when a task calls for more power — long analyses, code, heavy reasoning.
Does switching models erase memory?
No. Memory and learning belong to HERMES, not to the model — the model is the pluggable engine. You swap brains while keeping everything the assistant knows about you.
Are local models too weak?
For conversation, summaries and organization, current local models are surprisingly good. The strong point is cost: zero per message, unlimited use. Hermes lets you use local as the default and API as the exception — the best of both worlds.
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