Build a local AI agent with Ollama + Hermes: private, free, 12 use cases

Run a capable AI agent entirely on your own machine with Ollama and Hermes — no data leaving your computer, and nothing to pay per request. The walkthrough covers the full local setup and 12 practical ways to put it to work day to day.

Three steps to a local AI agent

1. Install the runner — Ollama. Ollama is the most common engine for running local large language models. Download the installer for your system (Mac, Windows, or Linux) from the Ollama site and install it.
2. Pick and download a core model to match your RAM. Choose model size by how much memory your machine has, then pull it in Ollama (e.g. Qwen 2.5 14B).
3. Install and point Hermes at Ollama. Install the Hermes Agent desktop app, open Setting → Model, choose Ollama as the provider, select the local model you downloaded, and click Apply. Confirm the bottom of the main screen has switched to your local model — from there it runs free.

Which model for your machine

• 8 GB RAM — lightweight small models (around Qwen 7B).
• 16 GB RAM (the mainstream setup) — DeepSeek 14B, Qwen 14B, or a Llama-family model.
• 24 GB / 64 GB RAM — larger, higher-parameter models run smoothly.

Two setup tips that save headaches

• Don’t guess your model — ask. Instead of copying a fixed recommendation off the internet, paste your computer’s full specs into any cloud AI (ChatGPT, Claude, Gemini) and ask which local model to run with Ollama + Hermes. Download the size it suggests for the smoothest experience.
• Set the context window to 64K. After downloading the model in Ollama, raise Context Window to 64K in settings. This is a hard requirement — Hermes can error out or drop the connection on complex or multi-turn tasks if the context is left too small.

12 practical things to do with a local agent

1. Automated competitor monitoring — scheduled scraping of Reddit and web discussions into a differentiated report.
2. Bulk multilingual marketing copy — localize campaigns at scale with zero per-token cost.
3. Fully offline work — research and get work done on a plane or anywhere without a connection.
4. Personalized bulk email drafting — different tone and voice per recipient.
5. A 24/7 private knowledge base — import Obsidian, Notion, and PDF notes; answers never leave your machine.
6. Multi-agent brainstorming — run engineer, product-manager, and market-expert personas debating at once.
7. Auto-organize bookmarks — scrape your browser favorites and tag them so saved links don’t rot.
8. Personal and family health-report analysis — read years of checkup reports privately, with no cloud-training risk.
9. Inbox filtering and draft replies — classify incoming mail and stage replies in your drafts for review.
10. Deep reading of long documents — work through hundreds of pages of PDFs or industry reports.
11. Multi-platform video script rewriting — turn one core script into platform-specific versions.
12. Podcast and audio cleanup — pair with Whisper to transcribe messy audio into clean, timestamped notes.

The download has the full step-by-step, in Simplified and Traditional Chinese.