In simple English
Building AI agents often requires giving them access to a web browser, a command line, and a code editor. Setting up each tool separately takes hours and creates security risks. This project packs all those tools into one sealed box you run on your server. Your automated agents can browse the web, run shell commands, and edit files safely. It costs nothing in licence fees, but you need a server with enough memory to run a full browser and code editor.
What it is
AIO Sandbox is an all-in-one execution environment for artificial intelligence agents. It runs inside Docker (a way to run a program inside its own sealed box, so it cannot break anything else on your server) and exposes an API (a set of rules that lets different software programs talk to each other) so your code can control it.
What it is good for
Solo builders who are creating autonomous agents that need to browse websites, run code, or manage files will save days of setup time.
- Combines browser automation, terminal access, code editing, and file operations in one place.
- Includes pre-configured software bridges for popular agent frameworks.
- Supports Python, TypeScript, and Go with ready-made software libraries.
- Requires Docker knowledge and server management skills to set up securely.
- Needs at least 2 to 4 GB of RAM and a large shared memory setting to run the browser smoothly.
- Exposing services to the internet without a reverse proxy or API key can let strangers access your server.
manually configuring separate virtual machines, browsers, and terminal servers for AI agents
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docker run --security-opt seccomp=unconfined --rm -it \ -e SANDBOX_API_KEY=your-secret-key \ -p 127.0.0.1:8080:8080 ghcr.io/agent-infra/sandbox:latest