DeskCue DeskCue
DeskCue is a local-first control center that provides a unified interface for reviewing and steering AI coding agents, such as Codex or Claude Code. It allows developers to monitor task progress, inspect project changes, and provide feedback from mobile or remote devices while the agents continue running on their primary workstation.
The project is in active alpha development, with a focus on refining the review loop and improving cross-platform compatibility for Windows and Ubuntu, with ongoing work for macOS support.
As of
- Centralized review loop for multiple coding agents
- Live application preview and file browsing
- Real-time notifications for agent status updates
- Remote control from phone or secondary laptop
- Support for local model runtimes like Ollama and LM Studio
Developers who want to monitor long-running AI coding tasks or provide feedback on agent progress while away from their main development machine.
Users seeking a fully managed, cloud-hosted IDE or those who require a pre-packaged, plug-and-play installation, as current setups are primarily source-based.
Open-source under the Apache-2.0 license.
DeskCue is a promising, developer-centric utility that bridges the gap between terminal-based AI coding agents and the need for a convenient, remote-accessible dashboard to steer workflows.
Is DeskCue free?
Yes - DeskCue is Open Source. Open-source under the Apache-2.0 license.
What is DeskCue best for?
Developers who want to monitor long-running AI coding tasks or provide feedback on agent progress while away from their main development machine.
Who makes DeskCue?
DeskCue is developed by Alexander Kornev. It is listed in the Developer Productivity & Workflow category on ai.dosa.dev.
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