The Deska blog
Does Claude Code Upload Your Files?
Understand if Claude Code uploads your files to the cloud. Learn how its architecture works and how to maintain privacy using local-first tools like Deska.
· 10 min read
When developers integrate AI into their workflow, the primary concern is often data sovereignty. You might be asking: does Claude Code upload your files to external servers? As a command line interface (CLI) tool designed to interact with your codebase, Claude Code requires access to your files to provide context and perform edits. Understanding the mechanism behind this access is crucial for teams working on proprietary or sensitive projects.
How Claude Code Handles Your Data
Claude Code operates as an agentic tool. Unlike a standard chat interface where you might manually paste snippets, this CLI tool scans your local directory to understand the project structure. When you ask a question or request a change, the tool identifies relevant files.
The architecture is not a simple cloud backup. Instead, it follows a request-response pattern. When a task is initiated, the CLI reads the content of specific files and sends that text as part of a prompt to the Anthropic API. Therefore, technically, the content of your files is transmitted to the cloud during the inference process. However, this is different from a permanent file upload or a storage service. The data is used to generate the AI response and is subject to the provider privacy policies regarding data retention and training.
The Difference Between Transmission and Storage
It is important to distinguish between data in transit and data at rest. When you use any AI agent that relies on a cloud hosted LLM, your code must reach the model to be processed.
- Context Windows: Only the files relevant to the current task are usually sent.
- Ephemeral Processing: The data is typically processed to generate a completion and then handled according to the API tier terms.
- Training Opt-out: Depending on your account type, you may have different protections regarding whether your data is used to train future models.
For developers who require higher levels of isolation, the move toward local-first architectures is gaining momentum. A local-first approach ensures that the primary state of your work stays on your machine, reducing the surface area for data exposure.
Privacy Comparison: CLI Tools vs. IDE Extensions
Standard IDE extensions often index your entire workspace in the background to provide better autocomplete. Claude Code, being a CLI tool, is often more explicit about what it is doing because you see the agent actions in the terminal.
| Feature | Cloud-Based Extensions | Claude Code CLI | Deska (Local-First) |
|---|---|---|---|
| File Indexing | Often background/cloud | Local scan, prompt send | Local-first storage |
| Data Location | Remote servers | Remote (during inference) | Local machine |
| Access Control | Plugin settings | CLI permissions | Managed workspace panels |
| Visibility | Hidden logs | Terminal output | Visual agent threads |
Tools like Deska provide a middle ground for developers who want the power of these agents without losing control over their environment. Within the infinite canvas, you can run agents like Claude Code, Codex CLI, and OpenCode side by side. This allows you to monitor exactly what an agent is doing in a dedicated terminal panel.
Security Layers in AI Workflows
If you are concerned about whether Claude Code uploads your files, you should also consider the environment where the agent runs. A major risk with AI agents is not just data leakage, but unconstrained execution.
Claude Code asks for permission before running commands that could alter your system or access the internet. This "human in the loop" model is essential. In a specialized workspace, you can manage these interactions more effectively. For example, using Ask Deska to drive your workspace allows you to use voice or chat to open panels and check sessions without manually piping sensitive file lists into every command.
Local-First Development with Deska
Deska is a free desktop app for Mac, Windows, and Linux that prioritizes a local-first philosophy. While it supports cloud-based AI agents, the workspace itself is designed so that your code, files, and sessions stay on your machine.
By using Deska, you can organize your work into panels. You might have a code editor using Monaco in one panel and Claude Code running in a terminal panel next to it. Because the app runs locally, you are not uploading your entire workspace configuration to a third-party server just to have a synchronized UI.
For those who need to work away from their desk, the mobile app provides a secure relay. Instead of uploading your files to a cloud database so you can see them on your phone, your devices pair directly. This ensures no ports are exposed to the public internet and your data remains private.
Best Practices for Protecting Your Codebase
To ensure your files are not being used in ways you do not approve of, follow these steps:
- Check your
.gitignoreand ensure the AI tool respects it. Most modern tools will ignore files specified here. - Use Bring Your Own Key (BYOK) configurations. This allows you to use your own API keys, giving you direct control over the data usage policies of the model provider.
- Monitor the agent threads to see the history of what was sent and received.
- Use a dedicated workspace to isolate your project environment.
FAQ
Does Claude Code store my files on Anthropic servers?
The tool transmits file content to the Anthropic API to process your requests. It does not act as a file storage or sync service, but the text of the files you provide as context is processed by their infrastructure according to their API data privacy terms.
Can I use Claude Code offline?
No, the tool requires an internet connection to communicate with the Large Language Model. While the CLI runs locally, the intelligence that powers it resides in the cloud. If you require a fully offline experience, you would need to use a local model provider.
Is my code used to train Claude?
This depends on your specific agreement and API tier with Anthropic. Generally, data sent via their standard business API is not used for training, but you should verify your current plan settings and privacy options in your account dashboard.
Enhance Your AI Workflow Locally
The question of whether an AI tool uploads your files is about more than just a single upload; it is about where your work lives. If you want a workspace that respects your data and runs your favorite agents in a secure, local environment, try Deska.
You can organize your terminals, editors, and browsers in a single infinite canvas and keep your sessions on your hardware.
Download Deska for Mac, Windows, or Linux today.