---
type: "Service"
title: "Local AI Agents on Your Own Hardware"
description: "AI hardware, open models and agents on your premises"
resource: "https://www.contextstudios.ai/services/local-ai-agents"
language: "en"
generated:
  by: "process:contextstudios-md/1"
  at: "2026-09-26T04:47:26.944Z"
status: "stable"
---

# Local AI Agents on Your Own Hardware

Setting up local AI hardware with open language models and AI agents in-house

We set up AI infrastructure on your premises: a Mac Studio, an NVIDIA DGX Spark or a machine with AMD Ryzen AI Max – depending on which models and how many users you need. It runs open language models such as Qwen, DeepSeek, GLM or gpt-oss through a local runtime like llama.cpp, Ollama, MLX or vLLM. For the agents we use Hermes Agent, an open-source agent framework by Nous Research: with memory, reusable skills, a scheduler and connections to Slack, Telegram or email. Via MCP the agents access your systems – with approvals you define. Requests and documents are processed on your hardware; no cloud provider sees them.

## Perfect For



Ideal for companies that want to use AI with confidential data – customer data, contracts, engineering drawings, HR files – and cannot or do not want to hand that data to a cloud provider. A strong fit for law firms, medical practices, manufacturing and SMEs with high requirements for data protection and trade secrets.

## Benefits



- Confidential data is processed on your own hardware, not by a cloud provider

- Fixed hardware costs instead of billing per request or token

- Open models with licences for commercial use, such as Apache 2.0 or MIT

- Agents with memory and a scheduler, reachable via Slack, Telegram or email

- Approvals for sensitive actions, execution in containers and vetted skills

- Handover with training and an update process, so you can run the stack yourself

## How we work on it

- Workshop — ½–2 days · three fixed prices: A facilitated session that ends with a ranked list of your projects.
- Setup — 1–2 weeks · fixed price after scoping: We set up one clearly bounded system and hand it over ready to use.
- Build & Support — after scoping, ongoing · fixed price after scoping; support billed monthly: We build the project out and stay alongside you once it is live.

### Included

- Workshop on tasks, number of users and data as the basis for choosing hardware
- Hardware recommendation and setup: Mac Studio, NVIDIA DGX Spark or a machine with AMD Ryzen AI Max
- Local runtime (e.g. llama.cpp, Ollama, MLX or vLLM) with an OpenAI-compatible interface
- Selection of open models by task, language and licence, such as Qwen, DeepSeek, GLM or gpt-oss
- Agents with Hermes Agent: memory, reusable skills and scheduler
- Access rights, logging and onboarding for your team
- 30 days of free bug fixing from final delivery

### Not included

- Hardware purchase costs
- Connecting further systems beyond the agreed scope (separately after scoping)
- Legal advice on the EU AI Act or GDPR
- Ongoing support after the 30 days of bug fixing – available as Build & Support

### How it runs

- **T1 — Workshop**: In a workshop (½–2 days) we clarify tasks, users and data and decide on hardware, models and licences.
- **W1 — Hardware & runtime**: Setting up the machine on your premises, the runtime and the selected open models.
- **W2 — Agents & handover**: Hermes Agent with skills and connections to your systems, access rights, onboarding and documentation.
- **Build — Expansion**: Optional: further agents, integrations and user groups step by step, scope after scoping.