> ## Documentation Index > Fetch the complete documentation index at: https://docs.celesto.ai/llms.txt > Use this file to discover all available pages before exploring further. # SmolFS: durable workspace folders for AI agents > Learn what SmolFS does, when to use it, and where to start with the first open-source release. SmolFS gives an AI agent a folder it can come back to later. Your agent can write files, stop, and then open the same workspace again from another process. SmolFS is early. These docs cover the first stable path and keep the surface small while the project evolves. ## What you can do Save files in a workspace folder and reopen them after the agent process exits. Start with a local `--dev` volume before connecting shared storage. Check the machine, create a workspace, open it, save changes, and close it from the CLI. Use Python or TypeScript when your agent runner should manage the workspace directly. ## Core idea A SmolFS volume is a named workspace. Mounting a volume makes that workspace appear as a normal local folder. After your code writes files there, you can flush important changes, unmount the folder, and mount it again later. For the first release, start with local development volumes: ```bash theme={null} smolfs init demo --dev smolfs mount demo ./workspace ``` Cloud-backed volumes are available, but they are intentionally documented lightly for now. Use them when you are ready to provide explicit metadata and object storage settings. ## Start here Install the CLI, check your machine, and add an SDK if you need one. Create a local workspace, write a file, close it, and open it again.