Why local-first matters for AI assistants
When your AI assistant knows everything about your work, where that data lives matters enormously. Here's why Noet is designed local-first and what that means in practice.
Most AI assistants work by sending your data to a cloud server, processing it, and returning a result. This model has obvious convenience benefits — it works on any device, syncs seamlessly, requires no local compute. But it comes with a significant trade-off: your most sensitive professional communications live on someone else's servers.
Noet takes a different approach. Your indexed data lives in a local SQLite database on your Mac. When you ask a question, the retrieval happens locally first — only the relevant context, with PII automatically scrubbed, is ever sent to an AI model for synthesis.
This design means your Gmail threads, Slack messages, and GitHub discussions never sit in a cloud database that could be breached, subpoenaed, or used to train future models. You retain full control over what leaves your machine and when.
For most professionals, this isn't just a preference — it's a requirement. Healthcare workers, lawyers, engineers working on proprietary code, and anyone handling sensitive client information can't afford the privacy trade-offs that come with cloud-first tools.
Local-first isn't a limitation. It's the right default.
Noet connects your tools into one queryable context layer for macOS.
Join the waitlist