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Cindy
Cindy is a desktop AI agent client for working with projects, files and apps. It brings model connections, execution backends and tools into one task workspace, with mobile clients for following and controlling work running on a computer.
The repository documents Claude Code and Codex as supported backends, alongside memory, skills, MCP tools and scheduled work. Model access can come through Cindy's service, supported account connections, API keys or local-model setups. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.
What it is
An agent workspace around real projects
Cindy runs as a local client and can work with files, terminals, browsers and connected apps. Its desktop and mobile clients share packages for model providers, device linking and agent orchestration. The project's backend service is maintained separately from this client repository.
Why it stands out
The model and execution backend are separate choices
The project calls an execution backend a harness: the layer that runs the agent session and its tool interactions. A model supplies responses within that setup. Cindy exposes both choices, so changing a model and changing the system running the task are different operations.
Availability
Client source and desktop releases
The repository publishes desktop release packages, client source and contributor instructions. Cindy's download page lists platform-specific desktop and mobile options. The project declares Apache-2.0; see the main repository for current terms.
Why it matters
What makes it useful
Work often involves more than asking for a written answer: the agent may need a project folder, a terminal command, information from a browser or a connected business tool. Cindy brings those task surfaces into a client where you can follow the work. The mobile companion is presented as a way to ask follow-ups and handle task controls while the work continues on the computer.
What to know
Where it fits
Start with the desktop client and choose the model connection and execution backend for the task. The README describes a Skip Sign-In route for local agents without a Cindy account, with server-backed capabilities unavailable in that state. A chosen provider or coding backend can still have its own account and configuration requirements. Building the client from source is a separate path requiring Node.js 22, pnpm 10 and Git LFS.
Notable points
What stands out
A shared workspace does not make every backend switch lossless. The model-selector contract warns that switching between harnesses rebuilds context and may lose content; a confirmed change takes effect with the next message. It treats changing models within the same harness separately. That distinction matters when deciding whether a task needs a different model or a different execution setup.
Before using
What to review
The README says the client connects to Cindy's cloud services by default, while Skip Sign-In omits server-backed features. The public client source is not the backend service. Local installation therefore describes where the client runs, rather than establishing that every feature or model request stays on the machine.
The project works with real files and logged-in apps and describes browser, computer and phone controls. Review the workspace, connected tools, linked devices and permission choices for the task you intend to delegate.
The README documents usage analytics in official distribution builds, including device, operating-system and app-version metadata, plus account-linked metadata after sign-in. It also describes signed-in cloud heartbeats. These client-metadata flows are a separate consideration from the model connection and tools selected for a task.
Reader fit
Who may find it relevant
Cindy is relevant to people who want a configurable agent working across projects and apps, particularly those already familiar with model-provider settings or coding-agent tools. The source also offers developers a substantial client to inspect or extend. The account route, available backends and device setup are practical parts of choosing how to use it.
Editorial note
Why LifeHubber lists it
LifeHubber lists Cindy because it brings Claude Code and Codex into a desktop workspace for projects, files, browsers and connected apps, with a mobile companion for following the work and handling task controls. For someone already using coding agents, this offers a way to extend that setup into tasks across their computer while keeping model connections and execution backends configurable.
Source links
Source materials
Reader note
Before relying on this entry
LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.
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