Local AI memory should stay on your Mac. Here's why.
Your AI conversations are not disposable prompts. They are a record of decisions, drafts, worries, research paths, and unfinished thoughts. That archive belongs under your control.
The quiet pattern in AI memory tools
A product launches with a comforting promise: your data stays on your device. The promise works. Early users care about privacy, tell friends, and help the tool grow. Then the product needs richer features, more compute, cross-device sync, teams, revenue, or an exit. Slowly, the architecture starts leaning toward the cloud.
This is not always bad intent. Cloud systems are easier to monetize, easier to update centrally, and easier to sell to enterprises. But the incentives matter, especially when the product is a memory layer.
Rewind is the cautionary example. It began as a local Mac memory app, then the company became Limitless and moved toward AI wearables. In December 2025, Meta acquired Limitless, and reporting from TechCrunch and 9to5Mac said Rewind would be discontinued.
Why AI conversations are unusually sensitive
Email is sensitive. Photos are sensitive. Your AI conversation history may be more intimate than both, because you talk to AI before your thoughts are polished.
Look at the kinds of things people put into AI chats:
- Drafts of messages they have not sent yet.
- Private work decisions, negotiation strategy, and salary questions.
- Code, customer details, internal product plans, and unreleased ideas.
- Health, relationship, family, legal, and money questions.
- Half-formed opinions they would never put in a public document.
It feels like talking, so people are honest. But the result is still text. It persists. It can be searched. It can be summarized. It can be copied somewhere else. That is exactly why AI memory tools need a stricter privacy posture than ordinary productivity software.
What local-first has to mean
Local-first cannot be a toggle hidden under cloud defaults. For an AI memory product, local-first should mean the product works because the archive lives on your own machine.
No account required for core memory
If the product needs an account before it can remember anything, ask what the account is for. Some services need identity for billing or sync. Core local capture and local search should not.
No screen or mic capture unless that is the product
A memory tool should be honest about scope. If it records everything, it should say so plainly. If the problem is AI conversation recall, capturing every app on your desktop is extra risk.
Portable data
The archive should not become another locked silo. Markdown, SQLite, JSON, and other readable formats make it possible to leave later without losing the work.
No business model that depends on your private archive
The incentives should be aligned. A local memory app should win by being useful to the person using it, not by turning private conversations into advertising data, model-training material, or aggregated insights.
A checklist before trusting an AI memory app
| Question | Why it matters |
|---|---|
| What exactly does it capture? | There is a big difference between AI conversations, screen frames, audio, browser history, and every app window. |
| Where is the archive stored? | Local storage reduces the number of companies that can access or lose the data. |
| Can the app work without a cloud account? | Account-first products often become cloud-first products. |
| Can you export the archive? | Portability keeps memory from becoming lock-in. |
| Does the privacy policy mention training, analytics, or third-party data products? | Those words tell you how the company thinks about your content. |
ThreadRecall's bet
ThreadRecall is built around a narrower claim: your AI conversation archive should stay on your Mac. During normal product use, we do not upload the content of your AI conversations to ThreadRecall servers. The public Privacy Policy says the app stores captured AI conversations locally and uses website form data only for the purposes described there.
We also choose not to capture the whole screen. That means ThreadRecall will not answer every possible memory question. It will not tell you what website you glanced at last Tuesday. It will not reconstruct a meeting from your microphone. It is built for the place where more and more of your active thinking now happens: AI conversations.
For this category, less capture is not a compromise. It is the privacy feature.
ThreadRecall captures supported AI conversations locally on your Mac, with Obsidian export when you want a Markdown copy.
