Cindy: an open-source AI agent for desktop task automation
Delegate multi-step desktop workflows to an autonomous agent that can operate on files, browsers, and schedules. Cindy, from XD Inc., is an open-source AI agent and Windows utility that pairs a desktop client with mobile companion apps. It supports switching between AI harnesses like Claude Code or Codex, offers a local execution mode for privacy, and mirrors task progress to mobile devices. The tool targets developers and power users who want to automate coding, file handling, and web research across devices.
What does Cindy actually do on a desktop?
Cindy runs an agent loop that interacts with the operating system, browser, and file system to execute workflows rather than just respond in chat. The client can schedule repetitive jobs such as daily reports, run automated triage, and accept tasks from a mobile companion app. The architecture is open-source under an Apache-2.0 licence, and the tool can switch AI harnesses mid-task to continue work without losing context.
Does it affect system safety or privacy when running tasks?
The client offers a local execution mode so models can run on-device, which reduces remote data exposure. Users can also skip sign-in to run local agents without connecting to a cloud account. The project’s open-source codebase provides an auditable client, and the app supports connecting to external model services like Claude Code or Codex via user-provided API keys.
Is Cindy practical for non-technical users and what setup does it need?
The mobile app mirrors and controls tasks in real time, which helps remote monitoring, and automated scheduling handles repetitive work without manual intervention. Nevertheless, the tool is aimed at developers and power users, and it expects users to supply or select AI harnesses and, when desired, API keys. That requirement makes initial setup more technical than a typical single-app assistant.
Cindy suits technical users who want programmable desktop automation, with one caveat
The app reliably connects desktop and mobile control for delegated workflows and offers local execution for privacy-conscious setups. It serves developers and power users who can manage model integrations and API keys. Expect a steeper setup curve if you lack experience with external models, because task continuity depends on chosen harnesses or locally hosted models rather than a single built-in engine.
