Dyad ensures the privacy of user data in the following ways:
- local operation: All operations are done on the user's device and data does not need to be uploaded to the cloud.
- Support for local models: Users can develop completely offline using native models such as Ollama or LM Studio.
- Avoid platform lock-in: The generated code is fully owned by the user and can be seamlessly integrated into IDEs such as VS Code or Cursor.
For situations that require networked calls to cloud APIs (e.g., using Google Gemini or OpenAI), Dyad only transmits the necessary prompts and does not store or share user data. This design is particularly suitable for financial, medical and other high-privacy scenarios.
This answer comes from the articleDyad: a free local open source AI full-stack application building toolThe
May not be reproduced without permission:AI productivity tools " How does Dyad ensure the privacy of user data?
