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The GCS VFS mounts a Google Cloud Storage bucket at some prefix such as /gcs/. All operations involve network I/O to the remote object store. Uses aioboto3 against GCS’s S3-compatible XML API via HMAC keys, inheriting all S3 VFS capabilities. For credential setup, see GCS Setup. Install the extra:

Config

GCSVFS(config) takes a GCSConfig object with the bucket name and HMAC credentials. Both READ and WRITE modes are supported. Fields marked secret are redacted in snapshots. For write: conditional on this provider, see S3-compatible stores.

VFS.md

The VFS.md an agent reads with GCS mounted at /<path>.

Virtual Filesystem

Supported Unix Commands for VFS

Unix commands work on each path as on a local filesystem, as far as the path supports them:

Limitations of Unix Commands for VFS

Where a path differs from a local filesystem:Run man <cmd> or <cmd> --help for one command’s usage.
The GCS VFS maps object keys to virtual paths under the mount prefix, identical to the S3 VFS. GCS “directories” are prefix-based — there are no real directory objects. For example, if bucket mirage-ai contains:
Then mounting at /gcs/ exposes:
Path mapping: virtual /gcs/data/example.json maps to GCS key data/example.json.

Cache

The GCS VFS uses IndexCacheStore with index_ttl = 600 (10 minutes), same as S3. Directory listings are cached for up to 600 seconds before being refreshed from GCS. This reduces API calls for repeated directory traversals. A configured index: replaces this lifetime with its own ttl, and the mount’s ttl: caps it.

Integration

What GCS answers through its own API, so fewer files are read. Integration explains each command.

Example

Shell Commands

The GCS VFS supports the full set of shell commands since it operates on real file content (text, binary, JSON, CSV, etc.). Large files benefit from range reads to avoid downloading entire objects.

Read Commands

Text Processing

File Operations

Path Utilities

Compression

Encoding

Use Cases

  • AI agents accessing GCS data: Mount GCS buckets for agents to read and process datasets
  • Data pipelines: Read and write GCS objects with shell-like commands
  • FUSE mounting: Expose GCS buckets through a virtual FUSE mount for external tools