Hey Product Hunt 👋
I built OpenClaw Project WebOS because AI agents are getting powerful, but managing them still feels way too much like staring into a terminal fog machine.
OpenClaw WebOS is a browser-based desktop environment for running and managing OpenClaw agent workflows. Instead of having tasks, agents, queues, runbooks, logs, approvals, cron jobs, memory, and diagnostics scattered everywhere, it brings them into one visual workspace.
The idea is simple: if AI agents are becoming a kind of digital workforce, they need an operating room, not just another chat box.
Right now it includes things like:
* Kanban-style task boards
* Gantt/timeline views
* Agent status and queues
* Workflow runbooks
* Audit logs and diagnostics
* Cron/job management
* File explorer and notepad-style editing
* Desktop widgets for system health and activity
It is still early, but the direction is to make OpenClaw feel less like “I launched some agents and hope they behave” and more like an actual command center for automated work.
I’d especially love feedback from people building with agents, local LLMs, automation systems, or internal ops tools:
What would you need to see in a dashboard like this before trusting it with real agent workflows?
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