smolfs 0.1.1

Durable workspace folders for Python agents

SmolFS Python SDK

SmolFS gives Python agents a workspace folder that can survive after the agent process stops. You can create a volume, mount it like a normal directory, write files into it, flush important changes, unmount it, and mount the same files again later.

The Python package is a native SDK over the same Rust core as the smolfs command. It is useful when an agent runner or automation service wants to manage workspace volumes without shelling out for every operation.

Install

Install the Python SDK with uv:

uv add smolfs

Mounting volumes also needs SmolFS' managed storage backend on the machine. The installer sets up both the CLI and backend:

curl -fsSL https://raw.githubusercontent.com/CelestoAI/smolfs/main/scripts/install.sh | SMOLFS_INSTALL_PYTHON=1 sh

If you only need the Python package inside an existing project or virtual environment, uv add smolfs is enough.

Quickstart

Start with a local development volume:

from pathlib import Path

from smolfs import SmolFS, doctor

report = doctor()
if not report["storage_backend"]["found"] or not report["mount_support"]["found"]:
    raise RuntimeError(f"SmolFS is not ready: {report}")

fs = SmolFS.from_env()
volume = fs.ensure_volume("demo", dev=True)
mount = fs.mount(volume.name, "./workspace")

workspace = Path(mount.mountpoint)
(workspace / "hello.txt").write_text("hello from SmolFS\n")

try:
    fs.flush(volume.name)
finally:
    fs.unmount(volume.name)

dev=True creates a local-only volume. It is the easiest way to test SmolFS on a single machine before connecting shared metadata and object storage.

Cloud Volumes

Cloud volumes use the same API with explicit metadata and object storage settings:

from smolfs import SmolFS

fs = SmolFS.from_env()
fs.ensure_volume(
    "agent-workspace",
    metadata="redis://localhost:6379/1",
    storage="s3",
    bucket="https://my-bucket.s3.us-east-2.amazonaws.com",
)

Keep storage credentials in the environment used by SmolFS. Do not print them in logs or store them in source files.

API Overview

• doctor() checks whether the machine can create and mount volumes.
• SmolFS.from_env() creates a client using SMOLFS_HOME and the current environment.
• ensure_volume(...) creates a volume if it does not exist and returns the existing volume if it does.
• init(...) creates a new volume.
• mount(name, path) mounts a volume at a local directory.
• flush(name) asks SmolFS to sync important writes.
• unmount(name) unmounts a mounted volume.
• status(name=None) lists known volumes and mountpoints.

Links

• Repository: https://github.com/CelestoAI/smolfs
• Issues: https://github.com/CelestoAI/smolfs/issues
• CLI installer: https://raw.githubusercontent.com/CelestoAI/smolfs/main/scripts/install.sh