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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limitless pendant alternatives in 2026
meta bought limitless and the pendant stopped. what the options are now, which ones record what, and the question to ask before you trust the next one.
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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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does screen recording slow down your mac?
we sampled a continuous screen recorder every 5 seconds for 9 minutes on an m5 mac. the cpu, memory and disk cost, and which of the three actually matters.
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screen recording permission on a mac
what macos actually grants when you tick screen recording, why the permission keeps forgetting itself, and how to fix it when the toggle lies.
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how to write your weekly update from your own work
the weekly update is hard because you cannot remember the week. a template, and the recall problem underneath it that no template fixes.
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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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ai for researchers, and the sources you already read
every ai research tool searches the literature. none of them remember the paper you read last tuesday. what that gap costs, and how to close it.
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ai for founders, and the context problem
a founder switches context more than anyone in the company. every ai tool assumes you can explain the background first. that assumption is the whole problem.
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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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gdpr and screen recording
recording your own screen and recording someone else's are different legal questions. what gdpr covers, when a dpia is required, and where personal tools sit.
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is it safe to let ai see your screen?
the honest answer depends on four things, and none of them is the model. where the archive lives, what the agent can do, what it reads, and who inherits it.
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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 ocr?
ocr turns pixels into text a computer can search. how it works, what it still gets wrong in 2026, and why running it on your own mac changes what it costs.
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what is an mcp server?
mcp is how an ai assistant reaches data it was not trained on. what a server is, what the protocol does not solve, and the security part everyone skips.
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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.
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giving an ai coding agent memory of your actual work
every coding agent starts from zero. what it cannot see, why a claude.md file is not memory, and what changes when an agent can query your own work.
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the billable hours problem: reconstructing a week you already worked
friday timesheets are written from memory and they are wrong in one direction. why reconstruction fails, what it costs, and how to make the week checkable.
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the real cost of context switching
interrupted work gets finished faster, not slower. the price is paid in stress and reconstruction. what the research shows, and what cuts the bill in 2026.
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what is local first software?
local first software keeps the real copy of your data on your machine and treats the network as optional. what the term means, what it costs, and how to check.
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semantic search vs keyword search
keyword search matches strings. semantic search matches meaning. how each one actually works, where each one fails, and why hybrid search won in 2026.
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what is a context window?
a context window is a model's working memory for one request, not a memory of you. how tokens are counted, why bigger windows still forget, and what fixes it.
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what spotlight search can't find on your mac
spotlight indexes files, apps and actions. it never sees the dashboard, the call or the web app you were reading. here is the gap, and how to close it in 2026.
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which app did i see it in?
you remember the sentence but not the app. a method for narrowing it down fast, the search syntax worth knowing, and where each app's search quietly gives up.
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why your notes app was never going to work
every note taking system decays on the same schedule, and it is not discipline. the economics of manual capture, and what honestly replaces it.