Does LifeDash require an account?
No LifeDash account is required for the local desktop workflow. An account is relevant only for optional services such as sync or the web dashboard.
PRIVACY ARCHITECTURE
LOCAL BY DEFAULT. CLOUD BY CHOICE.
LifeDash keeps the core meeting workspace on your machine and makes external processing an explicit, task-level decision.
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DB : PGLITE_WASMCONNECTED
AI : WHISPER_LOCALLOADED [3GB]
TELEMETRYOFFLINE
AIRGAPPED MODE CAPABLE
DATA FLOW
WHAT HAPPENS TO YOUR DATA
The default is local. The exception is a service you deliberately enable or a cloud-backed task you deliberately run.
| DATA | DEFAULT | USER CONTROL |
|---|---|---|
| Meeting audio | Processed and stored locally by default | No cloud upload is required for local recording and transcription |
| Transcripts and briefs | Stored in the local workspace | A selected cloud model receives only the content needed for that chosen task |
| Embeddings and search | Local embeddings and semantic search are supported | A cloud embedding provider is used only when explicitly configured |
| Digital Twin memory | Stored locally with source-session provenance | Learning can be paused and individual facts can be forgotten |
| Workspace sync | Off unless the user enables it | Optional sync is separate from the local desktop workflow |
| Provider credentials | Kept through operating-system-level secure storage | Credentials are used only for providers the user configures |
CLEAR ANSWERS
PRIVACY QUESTIONS
Does LifeDash upload meeting audio?
Local recording and transcription do not require a meeting bot or a cloud audio upload. A cloud provider receives content only when you explicitly choose a cloud-backed task that needs it.
Can I use LifeDash without a cloud AI provider?
Yes. The local workspace, recording, transcription, boards, ideas, and focus tools do not require a cloud AI provider. LM Studio and Ollama can support compatible local AI tasks.
Can I inspect the privacy claims?
Yes. LifeDash is released under the AGPL-3.0 license and its source code is publicly available on GitHub for review, modification, and self-building under the license terms.
For legal terms and formal disclosures, read the Privacy Policy. For implementation details, inspect the source code on GitHub.
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