Give your AI assistant a workspace of its own. Explore running OpenClaw or Nous Research’s Hermes Agent on a dedicated Linux PC, with your projects, agent state and chosen tools separate from your everyday laptop. Ask us to assess your setup before ordering.
A place for your projects, routines and assistant
Start with something useful and bounded: turn a folder of approved notes into a draft briefing, explore a repository, or prepare a report for your review. Keep source files and outputs in a project workspace you can inspect, back up and replace.
OpenClaw connects a self-hosted assistant to supported chat surfaces. Hermes Agent brings persistent memory, reusable skills and terminal-based workflows. Both can use models and tools beyond the host; the choice should follow the task you want to complete.
References: OpenClaw: personal AI assistant · Nous Research: Hermes Agent
Your machine. Your model choice. Clear data boundaries.
With a cloud model, the agent can run on your rented computer while prompts and selected context go to an external provider. With a model running on that same computer, inference can stay on the host. Browsing, search, messaging, plugins and cloud backups can still send data elsewhere.
Dedicated hardware separates your workspace from other customers’ assigned machines. It does not make the service zero-knowledge, remove operator access or guarantee that an agent cannot make mistakes. Decide which files and accounts it may use before connecting them.
References: Ollama: local and cloud data handling · Hermes Agent: local model setup
Begin with a small, reviewable pilot
Our proposed starting point is one authorised user, one agent workspace, a private access path and a test task using non-sensitive sample data. Add integrations individually after checking their permissions and data destinations. Keep sending, publishing, deleting and spending behind human approval and restrictive tool permissions.
A personal assistant’s name, tone and routines can reflect you. A persona is a preference, not a permission boundary: access restrictions belong in the tools, operating system and network.
- Draft a daily briefing from a folder you deliberately provide.
- Build and test a small coding workflow in a disposable project.
- Summarise research with sources, then review the result yourself.
- Try a recurring task only after testing stop, restart and recovery.
Choose the host around the actual workload
For an API-backed pilot, discuss the Everyday or Plus Linux plan and the tools you intend to run. For local inference, choose a specific model, context length and runtime before sizing memory. More RAM alone does not establish model quality, tool reliability or useful speed; our Linux plans do not include a discrete NVIDIA GPU.
AI software setup and managed agent support are not currently included or commissioned. Model subscriptions, API usage and third-party services are additional where required. Availability and compatibility must be confirmed; no inference benchmark or uptime guarantee is offered. Mac rental plans remain for approved developer workflows, rather than general personal-assistant hosting.
References: OpenClaw: local models
Sources & review
Vendor documentation checked on 8 November 2026. Recommendations are our assessment, not a benchmark or an assertion that these products have been deployed on HelloMiniPC hardware. Features and licence terms can change.
Plans to discuss
Before applicable tax; setup is additional. Availability, application compatibility and access method are confirmed before ordering.
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Send the software, client device and connection location you have in mind. No payment is needed to ask about fit.
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