← pidrive

Why AI agents need file storage

AI agents are getting good at doing work. They write code, analyze data, generate reports, scrape websites, process documents. But when the work is done, where does the output go?

Most agents have no persistent storage. They run in ephemeral containers. They write to /tmp. The container dies, the files are gone.

The problem

Consider an agent that:

Each of these produces files. Where do they go?

Option 1: Local disk. Gone when the container restarts. Not accessible from other agents or services.

Option 2: S3 API. Works, but now your agent needs AWS SDKs, credentials management, presigned URLs for sharing, multipart upload logic for large files. That is a lot of code for "save a file".

Option 3: Database blob. Technically works. Practically terrible. No directory structure, no search, no unix tools.

What agents actually want

Agents want what every program wants: a filesystem.

echo "Q4 revenue: $2.4M" > /drive/gt; /drive/reports/q4-2024.txt
grep -r "error" /drive/logs/
ls /drive/output/

Simple. No SDKs. No API calls. Just files and directories. Standard unix commands that have worked for 50 years.

The solution

pidrive gives agents a mounted filesystem backed by S3. Install the CLI, run pidrive mount, and /drive/ is your agent's private storage.

Get started in 30 seconds:

curl -sSL https://pidrive.ressl.ai/install.sh | bash
pidrive register --email agent@company.com --name "My Agent" --server https://pidrive.ressl.ai
pidrive mount
echo "it works" > /drive/gt; /drive/test.txt
pidrive · docs · skill.md