Grain vs CloudCLI

Quick answer

Both products let you keep your existing agent subscription, but the persistent object differs. CloudCLI keeps a cloud development environment active so the agent can continue and you can reconnect from several clients. Grain keeps published output active so readers can open it after the development session. CloudCLI is environment infrastructure without an application database; Grain is an artifact hub whose app workspaces can include Postgres, logins and scheduled jobs.

Fit first

What is different, verifiably

Where CloudCLI is better

• The coding session itself must stay alive while you close a laptop or move between devices. CloudCLI makes continuous environments its primary job.
• You want to reconnect from a browser, mobile PWA, VS Code or SSH. Grain's client surface is a Mac app and CLI.
• A team needs shared MCP servers and context files while each developer keeps an isolated container.
• You specifically require an AGPL-3.0 environment codebase. Grain says its core is self-hostable but does not claim an open-source license.

Where Grain is better

• The output, not the development shell, is what other people need. Grain gives it a dedicated share URL and access mode.
• The published app needs Postgres, login or scheduled jobs. CloudCLI does not position itself as an application backend.
• You do not need CloudCLI's continuously active terminal across browser, mobile, VS Code and SSH; you need the finished output to remain reachable.
• The audience consists of artifact readers and commenters, not developers reconnecting to a paid remote environment from several clients.
• You need a Pro custom domain for the artifact or a promise that published work remains after payment stops.

Moving between them

1. From CloudCLI to Grain: copy or clone the project files from the remote environment into a folder where the Grain CLI is available. Environment processes, shared context and container state are not the artifact itself.
2. Run grain init for that folder. The command creates a workspace and writes configurations for Claude Code, Codex and Cursor unless agent configuration is disabled.
3. Ask the agent to turn any development-only service into a workspace application dependency. Use Postgres for durable app data and define login or scheduled jobs where the published artifact needs them.
4. Run grain push, grain checkpoint -m "publish from CloudCLI", then grain share --public or use a protected share. Send the resulting URL rather than access to the development environment.
5. From Grain to CloudCLI: run grain pull, place the files in a CloudCLI environment and configure the agent subscription there. Grain database contents, identities, job schedules, comments and sharing rules do not accompany the source files.

Choice rule

Choose CloudCLI

if the lasting thing you need is a remote agent development environment that survives disconnects and works across several clients.

Choose Grain

if the lasting thing is the page, app, report or job that an agent made, especially when other people must open it.

Use both

if agents work in persistent CloudCLI environments and publish reviewable or operational results into Grain workspaces.

Frequently asked questions