Give Agents Isolated Linux Sandboxes via MCP [Kilntainers]
MCP sandbox isolation for agents; E2B/Modal/Docker/WASM backends already exist separately.
Give any AI agent a full desktop — it sees the screen, clicks, types, and runs apps like a human. Automate anything with a UI: browsers, legacy software, internal tools. No API needed. One Docker command.
Gives AI agents a full Linux desktop with human-like mouse movement to bypass bot detection.
AI developers, automation engineers
Browser Use · OpenInterpreter · Adept
GhostDesk gives your agent a full Linux desktop and the motor skills to operate it like a human — realistic mouse movement, natural typing, screenshot fallback for CAPTCHAs. It reads UIs semantically and behaves like a real user when sites try to detect bots.
Book a flight, scrape a site without selectors, operate legacy software with no API, run QA across an entire app — one prompt. If a human can do it on a desktop, your agent can too.
Runs in Docker. Spin up multiple instances in parallel, each driven by a sub-agent. No real ceiling.
Works with Claude, GPT, Gemini, or any local model (Ollama, LM Studio). MIT.Most LLMs can reason. They can't use software.
MCP sandbox isolation for agents; E2B/Modal/Docker/WASM backends already exist separately.
AI agents can finally spend money using single-use Visa cards via MCP.
3.2x–6x fewer tokens than Playwright/Chrome DevTools MCP via code-first architecture.
MCP server lets agents search and stream 1M AI tracks without licensing headaches.
Structured decision records beat static .cursorrules files for maintaining team consistency.
Headless PTY daemon lets AI agents control ncurses apps like k9s without a GUI.