# Deskmate Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/deskmate
> Markdown URL: https://aitinkerers.org/technologies/deskmate.md
> Technology record last updated: 2026-03-09T20:20:29Z
> Generated: 2026-09-21T03:42:11Z

Deskmate cloud delivers secure, scalable Desktop-as-a-Service (DaaS): we provide virtual training computers and mobile desktops for any user, anywhere.

Deskmate cloud is your robust solution for modern, flexible IT environments, transforming both training and remote work. The platform provides virtual training computers for intensive software courses and secure mobile desktops for employees: access requires only an HTML browser. We manage global availability through three strategic data centers (Frankfurt, Vint Hill, Hong Kong), ensuring reliable performance and security. Over 27,000 users in 47 countries leverage Deskmate annually, validating its efficiency and innovative, simple access options. Implement DaaS with confidence: Deskmate handles the infrastructure, you focus on operations.

- Official technology site: https://deskmate.cloud
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [From Autonomy to Observability: Running AI Agents Safely on Your Own Machine](https://seattle.aitinkerers.org/talks/rsvp_NbyMxlacro8)

AI agents are getting better at taking action, but most local setups still behave like black boxes. Once an agent can run commands, open ports, or spin up background processes, the real challenge isn’t intelligence, it’s knowing what’s actually happening on your machine. In this demo-driven talk, I’ll show how I’ve been experimenting with local-first AI agents that execute real system actions, and why I had to build observability alongside execution. I’ll demo two open-source tools: Deskmate, a local execution agent, and Riva, a local monitoring layer that makes agent behavior visible. We’ll look at real examples of agent workflows, failure modes, resource usage, and how visibility changes how much you can trust autonomy. The goal is not to pitch a framework, but to share lessons learned from running agents locally and open up a discussion on what responsible agent tooling should look like.

- Event context: AI Tinkerers Seattle Meetup: Dev Tools Track — March 9th, 2026 — 2026-03-10 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_NbyMxlacro8

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