Use Cases

Where BrewFS fits

BrewFS is designed for workloads that continuously read, write, and exchange files: multi-agent workspaces, AI datasets, container storage, and object-storage-backed infrastructure.

01

Multi-agent Collaborative Workspace

Multiple agents share the same filesystem namespace, read context, write intermediate artifacts, update task state, and exchange outputs. In the July 24, 2026 Redis + RustFS snapshot, BrewFS is 92% faster on fully drained mixed random I/O versus JuiceFS.

→ Explore Agent Workloads
02

AI / ML Datasets

AI workloads often need file-path access to datasets, checkpoints, logs, and intermediate artifacts. BrewFS provides a POSIX-like access layer backed by object storage and a transparent Rust-native data path.

03

Container Storage

Containerized applications want simple file paths, while infrastructure teams want elastic object storage. BrewFS connects application file access with object-storage-backed persistence.

04

S3-compatible Storage

Object storage is not a filesystem. BrewFS wraps LocalFS or S3-compatible object storage with a POSIX-like interface and a transactional metadata layer.

05

Filesystem Research

BrewFS is a transparent Rust filesystem project for studying FUSE, metadata transactions, Chunk / Block / Slice layout, object IO, cache behavior, compaction, and GC.