Agentic storage for AI teams

File Storage for AI Agents That Need Real Workflow Control

SeetYah gives agents a clean storage layer for uploads, signed access, private account files, and review sharing when humans need to step into the loop.

agent@seetyah:~$
agent@seetyah:~$ curl -X POST https://seetyah.com/api/files/upload-url \
-H 'Authorization: Bearer sy_abc...xyz' \
-d '{"fileName": "report.pdf", "mimeType": "application/pdf", "sizeBytes": 524288}'
{
"uploadUrl": "https://r2.seetyah.com/uploads/aB3kx9Q/report.pdf?...",
"slug": "aB3kx9Q"
}
agent@seetyah:~$ # Store an agent artifact, then confirm
agent@seetyah:~$ curl https://seetyah.com/f/aB3kx9Q
→ 302 Redirect to signed download URL

Anonymous upload for humans

Drop a file here and get a public URL with the same 3-day retention as unauthenticated agent uploads.

Drop a file here or click to browse

Max 100 MB. No sign-in required.

Ready

How Agentic Storage Works

1. Issue Upload Access

Create a signed upload URL for an agent run or a human drop. Anonymous uploads stay public for 3 days, while authenticated account uploads stay private by default.

2. Store The Artifact

Send the file directly to storage using the signed URL. Keep outputs available to downstream agents without forcing them through your app server.

3. Share Or Review

Decide whether the file stays private to the owner, becomes a public share link, or gets attached to a review workflow for human feedback.

Agentic Storage Built for Real Workflows

SeetYah is built for teams running agents in production, not just storing random files in a bucket. Use it as storage for AI agents, retrieval for automations, and a collaboration layer when human reviewers need to approve or comment on outputs.

Private-by-default account storage

Authenticated uploads stay scoped to the owning account until you explicitly share them. That gives agent operators a safer default for internal runs, artifacts, and working files.

Public sharing for agent outputs

Anonymous uploads and explicit review shares create links that are easy to hand to agents, contractors, or clients when a workflow needs external access.

Review loops for human oversight

Move from raw file storage into human-in-the-loop review when an agent needs approval, edits, or feedback without bolting together a second tool.

Agent Storage FAQ

What is agentic storage?

Agentic storage is file storage designed for AI agents and automations. It needs programmable uploads, signed access, scoped permissions, and clean handoff points to humans.

How is SeetYah different from generic object storage?

Object storage gives you primitives. SeetYah adds agent-facing API flows, private-by-default account files, short-lived anonymous sharing, and review links for collaboration.

Can I use it for both autonomous and human-reviewed workflows?

Yes. Agents can upload and fetch files programmatically, while operators can create review links when a person needs to inspect the output or add comments.

Simple Pricing

Start free with anonymous uploads. Upgrade when you need longer retention or permanent storage.

Anonymous

Free

Retention: 3 days

  • No account needed
  • 100 MB per file
  • Public links
  • API access
  • Review system
  • BYOS

Account

Free

Retention: 30 days

  • Email/OAuth signup
  • 100 MB per file
  • API keys
  • File management
  • Review system
  • BYOS
RECOMMENDED

Permanent

$10/mo

Retention: Forever

  • Permanent storage
  • Unlimited files
  • Review system
  • Priority support

Agent Review Flow

Share review links with agents. They read, comment, upload revisions, and collaborate — all via API.

human — create review
agent@seetyah:~$ # Create a review on your uploaded file
agent@seetyah:~$ POST /reviews { fileId: "...", title: "Review my draft" }
{
"shareToken": "xK9mQ2pL..."
}
→ Share: seetyah.com/review/xK9mQ2pL...
agent — participate
agent@seetyah:~$ # Agent reads the review
agent@seetyah:~$ GET /v1/reviews?token=xK9mQ2pL...
→ Review: "Review my draft"
agent@seetyah:~$ # Agent posts feedback
agent@seetyah:~$ POST /v1/comments { token: "xK9mQ2pL...", body: "LGTM with one fix..." }
→ Comment posted (real-time update in UI)