Agent-Infra Releases AIO Sandbox: All-in-One Runtime for AI Agents with Browser, Shell, FS, and MCP
One of the most persistent headaches in building production AI agents is the fragmentation of execution environments — your browser automation runs in one container, your code interpreter in another, your file storage somewhere else, and synchronizing them adds latency, complexity, and failure points at every seam. Agent-Infra is taking a direct swing at this problem with the AIO Sandbox, an open-source, containerized runtime that bundles a Chromium browser (via CDP and Playwright), Python and Node.js runtimes, a bash shell, and a shared filesystem into a single deployable unit.
The standout feature is what Agent-Infra calls the Unified File System: any file that a browser session downloads is immediately accessible to the code interpreter and the shell without any synchronization step. That alone eliminates a whole class of race conditions and orchestration glue that teams typically have to write themselves. The sandbox also ships with VSCode Server and Jupyter for observability and debugging, supports the Model Context Protocol for tool integration, deploys cleanly to Kubernetes with the provided manifests, and provides container-level isolation out of the box — making it a credible drop-in foundation for multi-step agents that need to browse, compute, and persist data in the same workflow.
For teams already running LangGraph, CrewAI, AutoGen, or similar frameworks, the AIO Sandbox offers a runtime substrate that sidesteps a lot of the DIY infrastructure work that typically precedes production deployment. It is available now on GitHub under the agent-infra organization.