Screenbox: Open-Source Virtual Desktops for AI Agents Built Entirely by Voice
What Screenbox Does
Screenbox creates isolated Linux desktops in Docker containers for AI agents. When you run multiple AI agents in parallel, they typically fight for the same screen, same files, and same browser. This causes problems like one agent downloading a file while another overwrites it, or one agent crashing Chrome while another loses its session.
Key Features
- Each agent gets its own isolated Linux desktop in Docker
- Full Chromium browser included
- Complete file system isolation
- Terminal access
- 21 MCP tools including screenshot, click, type, shell, and window management
- Everything a human can do at a desktop
Development Details
The project was built entirely using voice commands with Claude Code. The creator states: "I haven't seen a single line of code inside." It's currently running in production daily for both work and personal projects.
Technical Specifications
- License: AGPL-3.0
- GitHub: github.com/dklymentiev/screenbox
- Website: screenbox.dev
- Demo video available showing actual desktops using the project itself
The demo video's chat panel is a mock for demonstration purposes, but everything else shown is real functionality.
📖 Read the full source: r/ClaudeAI
👀 See Also
OpenClaw skill adds AI image generation with local ComfyUI support and curated prompts
A new OpenClaw skill provides AI image generation capabilities directly in the terminal, featuring 1,300+ curated prompts, local ComfyUI integration, and prompt enhancement workflows.
Open Source AI Agent Prompt Library Reaches 100 GitHub Stars
A community repository called ai-setup provides shared system prompts, Cursor rules, Claude configs, and local model workflow setups for AI agents. The project has 100 GitHub stars and 90 merged PRs.
Benchmarking 88 Small GGUF Models on a 16GB Mac Mini M4
An automated pipeline tested 88 GGUF models on a Mac Mini M4 with 16GB RAM, identifying 9 as unusable and 4 LFM2-8B-A1B MoE models on the Pareto frontier for speed and quality.
Local AI Agent Achieves Sub-Second STT and TTS Latency with Open-Source Servers
A developer achieved ~0.2s STT latency using Whisper large-v3-turbo with hybrid thread-managed GPU architecture and ~250ms TTS latency with Coqui-TTS optimized for low-latency synthesis. Both implementations are fully self-hosted and open-sourced.