AI agents are evolving from conversational chatbots into autonomous systems that write code, analyze data, and execute complex workflows. But builders and enterprise teams face a persistent bottleneck: Agents are only as powerful as the content they can safely access and the environments they run in.
Historically, connecting AI agents to enterprise content meant stitching together custom file pipelines — downloading files into isolated execution environments, processing them, uploading results back, and hoping permissions, audit trails, and versioning didn’t break along the way.
Box Mount changes this paradigm by exposing Box content as a native POSIX-compatible filesystem directly inside an agent’s sandbox or virtual environment.
Through continuous two-way synchronization and built-in Box governance, agents interact with files at paths like /mnt/box using standard tools (pandas, Python scripts, CLI utilities) while automatically respecting user permissions, retention policies, and security classifications.
To bring this headless content layer to every developer, we ‘re partnering with leading sandbox, runtime, and AI framework providers across the ecosystem.
Empowering agent runtimes and sandboxes
Running autonomous agents requires isolated, secure, and ephemeral execution environments. Box Mount seamlessly integrates with top developer runtime platforms. Watch this demo and read on.
NVIDIA OpenShell: Accelerated and managed agent environments
With NVIDIA OpenShell, developers gain a high-performance, secure execution environment for agentic workloads. By combining Box Mount with NVIDIA OpenShell, agents powered by NVIDIA open-weight models (such as Nemotron) and accelerated computing runtimes can natively interact with enterprise files stored in Box. This delivers managed, enterprise-ready agent environments where models execute code, extract insights from unstructured data, and write artifacts directly back to Box with strict enterprise security.
DigitalOcean Cuttlefish: Bringing Box Mount to mobile
Enterprises can natively access Box Mount in mobile sandbox environments via DigitalOcean’s mobile app experience (with a desktop experience to come), while maintaining Box permissions and compliance standards.
Daytona: Composable cloud computers for agents
Daytona delivers composable cloud compute environments that spin up in milliseconds, enabling agents to run arbitrary code and tools at enterprise scale. Paired with Box Mount, Daytona sandboxes come pre-loaded with live enterprise data. Agents can read documents, manipulate datasets, generate deliverables, and write directly back into Box — leaving zero residual data in disposable sandbox environments.
E2B: Specialized sandboxes for agent workflows
E2B provides secure virtual machine sandboxes optimized for AI agents and code execution. With Box Mount, E2B sandboxes become fully governed working directories. Developers building applications (like automated contract redlining and playbook evaluation) can mount Box folders directly into E2B instances, orchestrating seamless human-in-the-loop approvals.
Vercel
Vercel supports enterprises at every stage of the development process. Vercel AI Sandboxes provide isolated Linux environments that give AI agents a dedicated kernel, full root/sudo access, and private process and network spaces. Developers can mount Box folders so agents can both read and write files with full permissions. Box Mount keeps enterprise content secure from development to production.
Cloud and infrastructure partners: MXC, Agentcore, and GKE
Through integrations with cloud platforms like Microsoft Execution Containers (MXC), AWS Agentcore, and GKE, Box Mount connects developer-centric cloud runtimes directly to enterprise content storage, accelerating real-world AI deployment from prototype to production.
Model-agnostic flexibility: OpenAI, Anthropic, and beyond
Box Mount is designed to be completely model- and framework-agnostic. Whether orchestrating agents with OpenAI, Anthropic, or LangGraph, agents interact through familiar filesystem commands (open, read, write, rename).This brings:
- Human-in-the-loop collaboration: An agent drafts an agreement into a shared folder, an attorney reviews and edits the document in Box, and the agent picks up the latest version on its next read
- Multi-agent orchestration: Specialized agents powered by diverse foundation models and agent harnesses (e.g., a reasoning model analyzing complex policies and a creative model drafting deliverables) coordinate seamlessly against a single, synchronized Box source of truth
- Optimistic concurrency and governance: Every change carries the authenticated user’s identity, applying Box Shield, retention schedules, and conflict detection right off the shelf
Docker, Cloudflare, and Runta: Sandboxes and MicroVM environments
Whether deploying Docker microVMs, Cloudflare workers, or Runta runtimes, developers can embed Box Mount as a lightweight headless component. Teams get instant POSIX file compatibility without building brittle glue code or bespoke storage adapters for containerized, edge, and sandboxed agent workloads.
What you can build today
Our design partners are building high-impact enterprise workflows, including:
- Contract review and redlining: Comparing incoming MSAs against standard legal playbooks and writing reviewed redlines directly to governed folders
- Due diligence and deal rooms: Parsing hundreds of diligence documents to draft synthesized investment memos with complete citation traceability
- RFP and proposal automation: Grounding proposals in verified precedent libraries and routing drafts for automated compliance reviews
Get started with Box Mount
Box Mount bridges the gap between frontier AI intelligence and enterprise content governance. Explore our developer documentation and sign up for the Box Mount Developer Preview to start building governed agent workflows in your favorite runtime environment.
