# Free Model Providers to Use with Hermes Agent > Source: > Published: 2026-05-29 04:12:02+00:00 [Hermes Agent](https://github.com/nousresearch/hermes-agent) by NousResearch is an open-source AI agent that does something most frameworks do not: it learns from experience. It creates skills during use, refines its memory across sessions, and supports parallel subagents and a built-in cron scheduler. You can run it on a $5 VPS, a GPU cluster, or serverless infrastructure. The part that makes it immediately approachable is its provider flexibility. Hermes supports 200+ models across a growing list of providers, and you switch between them with a single command — no code changes. That means you can get started entirely on free tiers before committing to a paid API. This post covers which free providers work with Hermes Agent and how to get up and running with each. ``` curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash source ~/.bashrc hermes ``` That drops you into the interactive CLI. Run `hermes setup` to walk through the full configuration wizard, or `hermes setup --portal` to connect via Nous Portal (their own hosted service with OAuth, which consolidates all your API keys into one subscription). Once installed, switching providers is a single command: ``` hermes model ``` Or inline during a conversation: `/model [provider:model]` No config file edits, no restarts. This is what makes free-tier exploration practical — you can try a model, hit a rate limit, and switch to another in seconds. [Nous Portal](https://nousresearch.com) is Hermes's native provider. It consolidates model access, web search, image generation, and TTS under one subscription. If you want the tightest integration with Hermes and the Nous ecosystem, this is the starting point. Check their current free tier on signup. [OpenRouter](https://openrouter.ai) is the most flexible free option. It gives you access to 200+ models — including Llama 4, DeepSeek, Gemma, and Mistral — through a single API key. The free tier covers 27+ models (marked with a `:free` suffix) at 200 requests per day and 20 requests per minute. Because Hermes supports OpenRouter natively, you can point it at any of those free models immediately. This is the best option if you want to compare how Hermes behaves across different underlying models without managing multiple accounts. [NVIDIA NIM](https://build.nvidia.com) gives you free API credits on signup with no credit card required. The catalog includes 80+ models — Llama 4, Qwen, Mistral, and NousResearch's own Hermes 3 model — at roughly 40 requests per minute. Credits do not expire. NIM is the best free option if you specifically want to run a NousResearch model underneath Hermes Agent, since it hosts the Hermes 3 fine-tune directly. [Hugging Face Inference Providers](https://huggingface.co/docs/inference-providers) gives every account monthly free credits routed across a network of inference providers (Groq, Together, SambaNova, and others). Hermes Agent supports HuggingFace natively. The free tier is best for trying niche or smaller models. Cold starts can be slow on the free tier, so it is less suitable for long interactive sessions but fine for batch tasks or evaluation. [NovitaAI](https://novita.ai) is a cost-efficient inference provider with a generous free tier for new accounts. Hermes supports it natively. It is worth trying if OpenRouter and NVIDIA NIM rate limits become a bottleneck during heavy agent development. [Kimi](https://kimi.moonshot.cn) (by Moonshot AI) offers a free tier with long-context models. Hermes Agent lists it as a supported provider. Particularly useful if your agent tasks involve processing large documents or long conversation histories that would exhaust the context windows of other free-tier models. | Provider | Free Tier | Best for with Hermes | |---|---|---| Nous Portal | **Rate limits compound in agentic loops.** Hermes's learning loop and subagent features can make many model calls per task. At 20 req/min (OpenRouter free), a multi-step task hits the ceiling quickly. Use `hermes model` to switch to a provider with a higher limit mid-session, or configure a fallback provider. **Use NVIDIA NIM for NousResearch models specifically.** If you want the model that Hermes was designed around — the Hermes 3 fine-tune — NIM hosts it directly at `nousresearch/hermes-3-llama-3.1-70b` . The free credits cover meaningful development without hitting a daily request cap. **OpenRouter first for exploration.** Its unified free tier across 27+ models is the fastest way to understand how Hermes Agent behaves with different underlying models. No separate accounts, one key, switch with `/model` . **Run hermes doctor when something breaks.** The built-in diagnostics command checks your provider configuration and surfaces misconfigurations before you spend time debugging the wrong thing. Hermes Agent is one of the few open-source agents with a genuine learning loop built in, and its multi-provider support means you are not locked into any single API. To get started for free: install Hermes, run `hermes setup` , and connect [OpenRouter](https://openrouter.ai) or [NVIDIA NIM](https://build.nvidia.com) — both work out of the box with no credit card. Switch models with `hermes model` as you explore what works best for your use case.