Drive creation and mounting
Create a shared drive in one call, then mount it into a sandbox as a normal filesystem path.
Agent Drive
Agent Drive is a distributed cloud filesystem for AI agents that lets multiple sandboxes mount the same drive and read or write concurrently. It is aimed at shared context, handoffs, and other filesystem-based agent workflows.
Overview
Agent Drive is a distributed cloud filesystem for AI agents. It is designed to let agents and sandboxes share files and session context in real time, so multiple workloads can work from the same data without manual duplication or orchestration.
The product mounts into a sandbox like a regular path and uses a POSIX-compliant FUSE client, which lets it behave like a filesystem rather than an object store. The source emphasizes concurrent read and write access, elastic storage, and a workflow built around many small files and high-concurrency access patterns.
Core capabilities
Concurrent access across sandboxes
Multiple sandboxes can read and write the same files at the same time, which supports handoffs and parallel work.
Filesystem-native access
A POSIX-compliant FUSE client makes the drive behave like a regular path in the local filesystem.
Elastic storage
Storage grows automatically instead of relying on fixed pre-provisioned capacity.
Small-file oriented workflow
The product is tuned for many small file operations, which matches agent outputs such as notes, JSON artifacts, and tool results.
Shared context persistence
The pricing page describes shared drives as storage for lasting memory and context across sandbox sessions.
Practical use cases
Multi-agent collaboration
Let several agents work in the same shared directory so one agent can write outputs while another reads or continues the task without copying files around.
Persisting agent context
Store notes, JSON artifacts, and tool outputs in a shared drive so later sandboxes can pick up the same context after a resume or handoff.
Shared dependency cache
Place code dependencies on the drive so new sandboxes can mount them and avoid repeated downloads or reinstallation steps.
Parallel fan-out and result collection
Use one shared location for worker results and let a coordinator agent aggregate files as parallel jobs complete.
Pros and Cons
Pros
- Supports concurrent read and write access from multiple sandboxes.
- Mounts as a filesystem path and uses a POSIX-compliant FUSE client.
- Storage scales automatically, so there is no fixed capacity planning in the source description.
- Optimized for small-file agent workflows such as notes, JSON artifacts, and tool output.
- Positioned for sharing session context across sandboxes and agent runs.
Cons
- The source does not provide detailed public documentation on SDKs, APIs, or third-party integrations.
- The page does not publish hard limits for storage size, permissions, or supported environments in the provided content.
- Availability appears limited, with the product presented as a private preview / waitlist offering on the homepage.
FAQ
When should I use Agent Drive?
Agent Drive is designed for situations where multiple sandboxes or agents need to work on the same files at the same time. The source describes it as a shared filesystem for real-time, multi-agent collaboration with concurrent access across sandboxes.
How do agents interact with it?
The page shows a create-drive workflow and says you can mount the drive as a regular path in any sandbox. It is presented as a shared filesystem with a POSIX-compliant FUSE client, so it should fit into filesystem-based workflows rather than object-store workflows.
Is Agent Drive generally available and what does it cost?
The pricing page says Agent Drive is free during beta for both data stored and data operations. The home page also invites users to join the waitlist or apply for private preview access.
What integrations are supported?
The source does not list specific SDKs, APIs, or third-party integrations beyond examples showing use through Blaxel sandbox and core library code snippets. It is safest to treat the product as Blaxel-native unless the documentation adds more integration detail.
Are there known limitations?
The product is tuned for many small reads and writes, high concurrency, and shared context across sandboxes. The source does not state hard limits for capacity, permissions, or supported runtimes beyond its sandbox mounting model.
Quick Facts
- Category
- Developer Tool
- Product type
- Distributed cloud filesystem
- Primary users
- AI agents and sandbox-based workflows
- Access model
- Mount as a path inside a sandbox; concurrent access supported
- Pricing
- Free during beta for storage and data operations; usage-based Blaxel pricing elsewhere
- Source domain
- blaxel.ai
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