Keep the work your agents create.
Planned storage and sharing for plans, designs, reports and other agent artifacts.
Planned service. No self-service deployment yet; we onboard early users by email.
- 01 Agent output
- 02 Retained artifact
- 03 Shared work
What is planned
Built around your workload.
Teams sharing the outputs of AI and coding workflows.
- Store the output
- Retain plans, designs and reports produced by your application or agents.
- Share intentionally
- The proposed service gives selected artifacts a shareable URL.
- Follow resource use
- Stored bytes and storage operations form the proposed consumption model.
How it works
A place for what agents produce. Publish a plan, a design or a report from an agent run and share it with a link.
- 01
Publish from the agent
A plan from a coding agent, a design prototype or an operations report is saved as an artifact.
- 02
Kept in object storage
Artifacts live independently of the chat session that created them.
- 03
Share a URL
Each published artifact gets a link you can send to your team.
You would pay for
- Stored GB-month
- Writes and reads
- Not billed: egress, links, viewers or seats
Not promised yet
- Planned as a convenience inside our agents, not a standalone storage product.
- Private and expiring links are not built yet.
Source: planning record, as of 2026-09-24.
Related services
Connect the pieces you need.
- AI services RedDB Models A planned OpenAI-compatible model API for applications, the database and agents.
- AI services Agent Memory Persistent memory for agents, built on RedDB and planned as a managed service.
- Agent execution Agent Hosting Planned managed hosting for Hermes Agent, OpenClaw and Paperclip, with persistent customer environments.
Pricing
Plan the workload before the bill.
Storage is planned around retained space, writes and reads. Public rates and sharing controls will be confirmed before launch.
Early access
Help shape AI Storage.
Tell us what you want to run, which models or runtimes you use, and what you need to keep. We will discuss fit and availability before any deployment.