Feature comparison
docrew vs OpenClaw, side by side.
Interface
Sandbox
Parallel agents
Document viewer
Mobile app
Workspace
Cost
Extensibility
How docrew delivers
OS-level sandbox protection
Every shell command and Python script runs inside a Seatbelt (macOS), bwrap (Linux), or Job Objects (Windows) sandbox. OpenClaw has no sandbox -- the agent has full access to your system.
Visual split-pane agents
Run multiple agents in a visual split-pane layout and see all of them working simultaneously. OpenClaw runs a single chat in the terminal with no parallel visual execution.
Native mobile delegation
Send tasks from a native iOS/Android app to your desktop agent. OpenClaw offers Telegram and Signal bots -- useful, but not a dedicated mobile experience.
Built-in document viewer
View documents inline, select text, and send it as context to the agent in one continuous workflow. OpenClaw is text-only in the terminal.
Where OpenClaw chats well
- Completely free and open source with 68K+ GitHub stars.
- Vibrant community with hundreds of plugins and extensions.
- Bring-your-own-API-key model -- no vendor lock-in for the AI provider.
Frequently asked questions
OpenClaw itself is free and open source. However, you need to bring your own API key, which means paying the AI provider directly. docrew's subscription includes all API costs -- no separate API key management needed.
OpenClaw's code is auditable, which is a security advantage. However, it has no runtime sandbox -- the agent can execute any command on your system. docrew uses OS-native sandboxing to isolate every shell command and Python script, preventing accidental damage.
Yes. docrew works with the same local files OpenClaw does. Your workflow and project files carry over naturally -- just point docrew at the same directories.
docrew connects to services through Composio connectors (Gmail, Slack, GitHub, etc.). It doesn't have an open plugin marketplace like OpenClaw. The trade-off is managed integrations with OAuth handled for you vs community-built extensions.