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
Claudetop: Real-Time Cost Monitoring for Claude Code Sessions
Claudetop is an htop-like tool that shows real-time spending, cache efficiency, and model comparisons for Claude Code sessions. It provides slash commands like /claudetop:stats and smart alerts for cost milestones and efficiency issues.
4-layer self-audit system for OpenClaw behavioral evolution
A developer built a 4-layer audit system where Gemini reviews Claude's blind spots weekly, catching patterns Claude missed in self-review. The system includes post-fix verification, pattern mining, external mirroring, and expectation vs reality checks.
Routerly: Self-Hosted LLM Gateway with Runtime Routing Policies and Budget Control
Routerly is a free, open-source, self-hosted LLM gateway that provides runtime model selection based on routing policies like cheapest, fastest, or most capable, along with project-level budget limits with per-token tracking. It's OpenAI-compatible for drop-in use with tools like Cursor, LangChain, and Open WebUI.
Ollama Update Adds OpenClaw Support for Kimi k2.5 Cloud Model
Ollama has released an update that integrates OpenClaw support for cloud models, including free access to the Kimi k2.5 model with web search functionality, running on NVIDIA data centers.