ReMyndnotes on memory, privacy, and your mac.
what we're learning while building a private, on device memory, plus honest guides to the tools around it.
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screen memory: the complete guide
what screen memory is, how capture and ocr actually work, what it costs in disk, what the law says, and how the 2026 tools compare. the full picture in one place.
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best rewind ai alternatives in 2026
rewind ai stopped recording in december 2025. an honest look at where to go now: remynd, limitless, openclaw and microsoft recall.
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the best second brain apps in 2026
notion, obsidian, logseq, mem, reflect and the screen memory tools, compared by the maintenance question that decides which one you still use in march.
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is microsoft recall safe in 2026?
recall returned off by default, biometric gated and encrypted on device. what microsoft fixed, what researchers still object to, and who should leave it off.
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apple intelligence on mac, and what siri ai still cannot recall
siri ai shipped with onscreen awareness and personal context in june 2026. it can see what is on your screen now. it still cannot tell you what was there in july.
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can chatgpt see my screen?
short answer: on your phone, usually yes. on your mac, it depends on which mode you are in. and either way it forgets the moment you stop sharing.
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how to find something you saw on your screen
you saw it, you closed the tab, it's gone. every real way to find something you saw on your mac again, from browser history to total recall apps.
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screen recording storage on a mac: the real numbers
we measured a working install: 26gb across 17 days of capture. video is 95% of it, the searchable index 5%, which changes what your retention policy should do.
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what ai note takers miss about your work
meeting transcripts cover the hours you were on a call. here is what happens to the other 30, and why your notes never answer the question you actually have.
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is it legal to record your screen at work?
the line is audio, not pixels. two party consent governs conversations, not screen capture, and the rules flip depending on who owns the machine.
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ai for consultants, and the client work problem
consulting runs on context you cannot keep. why generic ai tools fail on client work, what confidentiality requires, and how to set an archive up defensibly.
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what is an ai memory app? a plain english guide
an ai memory app records what you see and hear, then answers from it. how they work, what they're good at, and what to check before installing one.
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ai memory is everywhere in 2026. none of it is yours.
every major assistant shipped memory in 2026. here is what each one actually stores, who can read it, and whether you can take it with you when you leave.
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what happens to your data when an ai app shuts down
rewind gave users 14 days. a field guide to what actually happens to your archive in an acquisition or shutdown, and the four questions to ask before you trust one.
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private ai on your mac: how on device memory works
what on device actually means, why apple silicon changed the maths, and how to tell a genuinely private mac ai memory app from a marketing claim.
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your ai conversations are part of your work now
half of ai usage is long, iterative work sessions. when the tab closes, that thinking is gone. on keeping a memory of the conversations you now think in.
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ai browsers, and what they do with your history
atlas launched in october 2025 and was retired within nine months. what agentic browsers store, the same origin problem, and who ends up owning the trail.
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why you forget what you read
your brain stops storing what it expects to look up again. that trade is smart, and it fails only when the thing you relied on turns out not to be there.
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what is an ai agent?
an agent is a model that can call tools and run a loop until a goal is met. what that changes, where agents fail, and how to tell one from a chatbot with buttons.
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what is context engineering?
prompt engineering asks what words to use. context engineering asks what the model should know before it reads them. the failure modes, and what to build first.
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what is rag?
rag means looking something up before answering. how the pipeline works, why chunking decides your quality ceiling, and when it beats fine tuning.
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what is prompt injection?
the model cannot tell your instructions from instructions hidden in what it reads. why that is unfixed, how bad it got in 2026, and what actually reduces the risk.
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how to give an ai agent context about your own work
agents can read your repo and the web, but not your week. a practical guide to wiring your own history into claude code, cursor and codex over mcp.
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computer use agents on a mac
claude got mouse and keyboard control of the mac in march 2026, codex in april. what these agents can actually do, the permissions they need, and where they break.
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what people use ai for at work, by the numbers
the top task in ai conversations worldwide is searching for information, at 4.95%. a read of anthropic's may 2026 economic index, and the gap it exposes.