Audit, analyse, and manage your S3-compatible storage with AI. OE Runtime connects to any S3 bucket, inventories your files, identifies the largest objects, and recommends cleanup and archiving actions — all locally, no third-party tool required.
Create a file called agent.yaml inside a file-storage/ directory:
name: File Storage Agent description: Upload, list, download, and manage files in S3-compatible storage instructions: | You are a file management agent with access to S3-compatible storage. List, inspect, and report on stored files. Confirm before any delete operations. Complete all steps fully before writing your report. steps: - name: List Bucket Contents content: | List all files in the configured S3 bucket. For each file note: key (path), size in KB/MB, last modified date, and storage class. - name: Analyze Storage content: | From the listed files: - Calculate total storage used - Identify the 5 largest files - Group files by extension type (images, documents, archives, other) - Flag any files older than 90 days that may be candidates for archiving - name: Report content: | Produce a storage summary: - Total files and total size - Breakdown by file type - Top 5 largest files - Files flagged for archiving - Recommended cleanup or archiving actions connectors: - connection_name: My S3 Bucket connection_type: s3
Create oe-config.json in the same directory:
{
"llm": {
"provider": "openai",
"model": "gpt-4o",
"apiKey": "YOUR_OPENAI_API_KEY"
},
"server": {
"enabled": false,
"port": 3333,
"apiKey": "your-secret-api-key"
},
"connectors": [
{
"connection_name": "My S3 Bucket",
"connection_type": "s3",
"accessKeyId": "YOUR_AWS_ACCESS_KEY",
"secretAccessKey": "YOUR_AWS_SECRET_KEY",
"region": "us-east-1",
"bucket": "my-bucket"
}
]
}Create an IAM user with AmazonS3ReadOnlyAccess (or scoped bucket permissions) and generate an access key at console.aws.amazon.com/iam. The agent works with any S3-compatible storage including MinIO, Backblaze B2, and Cloudflare R2 — just update the endpoint URL.
# Run the agent oe-runtime-win.exe file-storage/agent.yaml --config file-storage/oe-config.json
# Make executable (first time only) chmod +x oe-runtime-macos # Run the agent oe-runtime-macos file-storage/agent.yaml --config file-storage/oe-config.json
# Make executable (first time only) chmod +x oe-runtime-linux # Run the agent oe-runtime-linux file-storage/agent.yaml --config file-storage/oe-config.json
macOS Gatekeeper: On first run, macOS may block the binary. Go to System Settings → Privacy & Security → click "Allow Anyway" next to oe-runtime-macos.
Add --serve to start OE Runtime as an HTTP server on port 3333:
oe-runtime-win.exe --serve --config file-storage/oe-config.json
Then send a request:
curl -X POST http://localhost:3333/run \
-H "Content-Type: application/json" \
-d '{"yaml": "file-storage/agent.yaml", "params": {}}'Or import the Postman collection (download above) to test all endpoints visually.
Download OE Runtime and run any AI agent locally or as a server — no cloud required.
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