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sfs — a synced file system for AI agents

sfs mounts any folder as a synced volume: its contents stay synchronized across all your devices through cloud object storage, every change is tracked (who, when, on which device), and everything keeps working offline.

It is built for AI agent workflows — give your agents on every machine the same ~/agent-workspace, and notes, plans, memory files, and artifacts follow them everywhere, with a full audit trail of which agent or human changed what.

$ sfs mnt ./workspace --remote s3://my-bucket/workspace
mounted /Users/snow/workspace
  volume:  workspace
  remote:  s3://my-bucket/workspace
  device:  macbook (d380dea58598) as snow@runbear.io
  daemon:  running (pid 55434, scan 3s, remote sync 30s)

On another machine:

$ sfs mnt ./workspace --remote s3://my-bucket/workspace
# … the same files appear, and stay in sync from now on

Features

  • Mount anywheresfs mnt ./folder turns any folder into a synced volume. Files are real files on disk: every tool, editor, and agent can use them with zero integration work.
  • Multi-device sync — devices converge through a shared remote. Each device only writes its own append-only journal, so no locking service or server is needed — any object store works.
  • Change trackingsfs log shows which device and author changed which file, when. Content is stored content-addressed, so history is never lost, even for overwritten or deleted files.
  • Cloud-provider agnostic — Amazon S3 (s3://), Google Cloud Storage (gs://), any S3-compatible store (MinIO, Cloudflare R2 via AWS_ENDPOINT_URL), or a plain shared directory (file://, e.g. a NAS).
  • Offline-first — the working folder is always fully usable with no network. Changes are journaled locally and pushed when the remote becomes reachable again.
  • Conflict-safe — concurrent edits resolve deterministically (last-writer-wins), and the losing version is preserved as a name.sfs-conflict-<device>-<time> file. Nothing is silently dropped.
  • macOS & Linux.

Install

brew install runbear-io/tap/sfs        # macOS (and Linuxbrew)

or from source:

go install github.com/runbear-io/sfs/cmd/sfs@latest

Quick start

# 1. Mount a folder, syncing through S3 (or gs://, or file://)
sfs mnt ./notes --remote s3://my-bucket/notes

# 2. Work normally — create, edit, delete files with any tool.
echo "remember this" > notes/memory.md

# 3. On every other device, mount the same remote:
sfs mnt ./notes --remote s3://my-bucket/notes

# See what changed, who changed it, and from which device
sfs log ./notes

# Check sync state and the daemon
sfs status

# Sync on demand (the daemon also syncs automatically)
sfs sync ./notes

# Stop syncing (files stay on disk; mount again any time)
sfs umnt ./notes

Credentials

sfs uses each provider's standard credential chain — nothing sfs-specific:

Remote Credentials
s3://bucket/prefix AWS_PROFILE, ~/.aws/credentials, env vars, IAM roles. S3-compatible stores via AWS_ENDPOINT_URL.
gs://bucket/prefix Application Default Credentials (gcloud auth application-default login) or GOOGLE_APPLICATION_CREDENTIALS.
file:///path none — any local or network-mounted directory

Commands

Command Description
sfs mnt <folder> [--remote URL] Mount a folder as a synced volume and start the sync daemon
sfs umnt <folder> Stop syncing (--forget also unregisters the mount)
sfs sync [folder] Run one sync cycle now
sfs status [folder] Mounts, daemon state, pending changes
sfs log [folder] [-p path] [-n N] Change history: author, device, time, file
sfs remote [folder] / sfs remote set <folder> <url> Show / set the cloud remote
sfs whoami Device identity used in change tracking

How it works

working folder  ←materialize/scan→  local volume store  ←push/pull→  object store
 (real files)                       ~/.sfs/volumes/<vol>              s3:// gs:// file://
                                    ├─ blobs/   content-addressed (sha256)
                                    ├─ journal/ one append-only op log per device
                                    ├─ state.json  what's materialized
                                    └─ sync.json   lamport clock + push cursor
  • Every change becomes an op (put/delete) in this device's append-only journal, stamped with a lamport clock, wall-clock time, device ID, and author. File content goes into a content-addressed blob store.
  • A sync uploads new blobs, then the journal; it downloads other devices' journals and any blobs it's missing. Since each device writes only its own journal, there are no concurrent writers per object and any dumb object store suffices.
  • The folder's state is a deterministic replay of all journals ordered by (lamport, time, device) — every device converges to the same view. Concurrent edits keep the last writer at the path; the loser is preserved as a conflict-copy file by the device that detects the overlap.
  • A per-mount daemon scans the folder every few seconds (cheap size+mtime check) and exchanges with the remote every ~10s — or immediately after local edits. Tune with --scan-interval and --remote-interval on sfs mnt.

What sfs does not sync

.git directories (per-file LWW would corrupt repositories), .DS_Store, and its own temp files. Empty directories are not tracked (like git).

Roadmap

  • sfs restore <path>@<time> — restore any file from history (all content is already retained)
  • FUSE/NFS mount mode for lazy-loading huge volumes
  • .sfsignore patterns
  • Journal compaction & blob GC policies
  • Per-path access scopes for multi-agent setups

Development

go build ./...
go test ./...

The integration tests in internal/syncer simulate multiple devices syncing through a file:// remote, including offline operation and concurrent-edit conflicts. Set SFS_HOME to relocate all sfs state (used heavily in tests).

License

MIT

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mount → sync → track. A cloud-agnostic synced file system for AI agent workspaces

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