ReMind
Open-source macOS AI that turns your screen activity into searchable local memory.
ReMind is a brave open-source bet on local-only memory, but it's not for everyone — it's macOS-only, still a beta, and demands a bit of technical skill. If you value data sovereignty and can tolerate rough edges, it's a real alternative to Microsoft Recall. Otherwise, wait a few versions or stick with something more polished.
Verified 1d ago · liveness 59/100 · cite: rightaichoice.com/tools/remind
- Privacy-focused knowledge workers needing a local memory assistant
- Developers seeking an open-source, customizable AI memory tool
- Researchers tracking digital activity across apps on macOS
- Users wanting an offline alternative to Microsoft Recall
- Users needing cross-platform support (macOS only)
- Those wanting a polished, production-ready app
- Users requiring cloud sync or collaboration features
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Skip ReMind if you need a polished, plug-and-play app, require Windows or Linux support, want cloud sync or collaboration, or aren't comfortable building from source or side-loading a beta.
ReMind is completely free and open-source, which is ideal for privacy-conscious individuals and developers who want full control without subscription fees. Compared to Microsoft Recall (which is bundled with Windows but requires cloud processing and raises privacy concerns) or paid local memory tools, ReMind offers a no-cost, self-hosted alternative. The true cost is your time: you'll need to compile the app yourself and troubleshoot issues, so it's best suited for technical users.
In short
ReMind — Open-source macOS AI that turns your screen activity into searchable local memory. Best for Privacy-focused knowledge workers needing a local memory assistant, Developers seeking an open-source, customizable AI memory tool, Researchers tracking digital activity across apps on macOS. Free to use.
What people actually say about ReMind — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
111 mentions across 7 sources (Hacker News, Product Hunt, App Store, Bluesky, Stack Overflow, GitHub, Lemmy) · researched Jul 6, 2026.
- +Privacy-first local processing keeps data on-device.
- +Open-source Swift code invites community contributions.
- +Natural language queries for memory recall are intuitive.
- +Roadmap includes integration with on-device vision models.
- +Free and transparent about development progress.
- −Very few real users; community data mostly about other 'Remind' apps.
- −Only available on macOS, limiting reach.
- −Many planned features are not yet implemented.
- −No iOS support despite hinted roadmap.
- −Unclear reliability and performance from lack of reviews.
- • No hidden costs identified; project is completely free and open-source.
Viability Score
How well maintained and how widely used is ReMind? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Open-source macOS app built in Swift
- Local screenshot capture of screen activity
- Core ML-based indexing of captured data
- Natural language search over activity history
- App usage tracking to build a timeline
- Text snippet capture for quick recall
- On-device AI processing with Apple Core ML and local LLMs
- Fully offline operation, no cloud dependency
- Privacy-first: data never leaves the machine
- Community-driven development on Discord and GitHub
- Roadmap: phi-3-vision on-device vision model
- Roadmap: configurable capture prompts
- Early public beta phase
- Manual build from source or side-load required
About ReMind
ReMind is an open-source macOS app that records your screen activity and builds a searchable, private timeline of your digital life. Capturing screenshots, tracking app usage, and indexing text snippets automatically, it lets you query that history in plain English — like “Where did I put my meeting notes from yesterday’s Google Meet?” — all processed on-device with Apple Core ML and local LLMs. No cloud, no server, no data leaving your machine. It’s a privacy-first answer to Microsoft Recall, written in Swift and currently in early public beta. For now, you’ll need to build from source or side-load the beta, and it only runs on macOS. That technical barrier is real, but it’s also what keeps the tool fully community-driven, with an active Discord and GitHub repo where the roadmap — including on-device vision models like phi-3-vision and configurable capture prompts — is shaped by users and contributors. Built for privacy-conscious knowledge workers, developers, and researchers who want a personal AI memory assistant that runs entirely offline, ReMind automatically builds a searchable timeline of your activity. Because everything is local, it keeps working without an internet connection, and your data stays on your hardware — no accounts, no cloud sync, no third-party servers. ReMind is an early-stage tool that prioritizes data sovereignty over polish. If you trust cloud processing, Microsoft Recall is a more mature alternative; if you want a note-taking app, Obsidian with plugins might fit. But for a purpose-built local memory assistant that puts privacy first, ReMind is worth watching — and contributing to.
Behind the Verdict
ReMind is the kind of project that makes you root for it. It answers a real problem — the Microsoft Recall privacy backlash — with a genuinely different philosophy: keep everything on-device, make it open source, and let the community drive it. We’d reach for it when you want to search your own screen history without handing that history to a cloud provider, and when you’re comfortable compiling a Swift app from source. When to pick ReMind: you’re a developer or tinkerer on macOS, you care about data sovereignty, and you want a local, queryable memory of your screen activity. When to pass: you need cross-platform support, a polished UI, or cloud sync. ReMind is a beta with rough edges; non-technical users should probably wait. The closest alternative is Microsoft Recall, but it’s practically the opposite tradeoff: cloud-processed, closed-source, and deeply integrated into Windows. ReMind gives you local-first and open-source but asks for technical comfort in return. If you compare them, you’re really deciding how much you trust Microsoft with your screen data versus how much setup you’re willing to do. Real-world caveats: expect to build from source or side-load the beta. The roadmap mentions phi-3-vision for on-device vision and configurable capture prompts, but those aren’t here yet. You’ll also be capturing sensitive data — even locally, that means someone with access to your Mac could see your screen history. The community is active, but there’s no formal support; you’re relying on Discord and GitHub. In practice, ReMind works best for privacy-minded knowledge workers who spend all day in apps and want to recall where things were without a search-by-exact-match. The natural language search is the differentiator, but it’s only as good as the local LLM and your
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Real-world workflow fit
Concrete scenarios for the personas ReMind actually fits — and what changes day-one when you adopt it.
Install ReMind on your Mac, grant screen recording permission, and let it run in the background all day. When you need to recall a detail, open the app and type 'Where was that pricing table from yesterday's meeting?'
Outcome: ReMind searches your local index of screenshots, app usage, and text snippets, returning the relevant context without any data leaving your machine.
Clone the repository, build the app from source, and side-load it on your development Mac. Contribute a bug fix or feature to the GitHub repo while using it daily.
Outcome: You get a fully local memory assistant and the satisfaction of knowing every line of code is inspectable and modifiable to your needs.
Track your digital activity across research apps—browsers, PDF readers, note apps—for a week. Ask 'What sources did I open on Monday?' to reconstruct your workflow.
Outcome: ReMind provides a searchable timeline of your research process, helping you identify patterns and revisit sources you forgot about.
Use Cases
- Search for a specific file, URL, or note you saw across different apps yesterday.
- Ask 'What did I work on last Tuesday?' to get a summary of captured activity.
- Retrieve forgotten details from a previous browsing session without manual note-taking.
- Index your daily app usage to identify productivity patterns offline.
Models Under the Hood
as of 2026-08-30
Limitations
- ReMind is in early development (initial public beta released 2024-10-01); it currently runs only on macOS as a native app.
- Users may need to build from source or side-load, requiring familiarity with open-source build processes.
- The roadmap includes integration of phi-3-vision and configurable capture prompts.
as of 2026-08-27
Verification history
We have re-verified ReMind 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published ReMind tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Privacy-conscious individuals and developers who want a no-cost, open-source memory tool and are willing to build from source.
What this tier adds
Starting tier: everything included—all features free, open-source, no subscriptions.
Where the pricing makes sense
The company stage and team size where ReMind's pricing actually pencils out — and where peers do it cheaper.
ReMind is completely free and open-source, which is ideal for privacy-conscious individuals and developers who want full control without subscription fees. Compared to Microsoft Recall (which is bundled with Windows but requires cloud processing and raises privacy concerns) or paid local memory tools, ReMind offers a no-cost, self-hosted alternative. The true cost is your time: you'll need to compile the app yourself and troubleshoot issues, so it's best suited for technical users.
Setup time & first value
How long it actually takes to get something useful out of ReMind — broken out by persona, not the marketing-page minute.
For technical users: allow 1-2 hours to clone, build, and grant permissions. For non-technical users: expect 2-4 hours learning Xcode and command-line basics, or wait for a pre-built release.
Switching to or from ReMind
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- ↗To Microsoft Recall: ReMind is macOS-only, so if you switch to Windows, Recall is the native alternative—note it requires cloud processing which ReMind avoids.
- ↗To Obsidian with plugins: If you prefer manual note-taking over automatic capture, you can migrate by exporting your ReMind search results (screenshots, snippets) into Obsidian notes.
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with ReMind
Common stack mates teams adopt alongside ReMind, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Remind vs Surge Ai
ReMind and Surge AI are incomparable in purpose and audience. ReMind is a free, open-source, privacy-first local memory assistant for macOS, ideal for individuals wanting offline activity capture. Surge AI is a premium human feedback platform for frontier AI alignment, targeting labs and enterprises needing expert-grade RLHF and benchmarks. Choose ReMind for personal knowledge management; choose Surge AI for rigorous model training and evaluation.
Remind vs Praktika
Praktika and ReMind serve entirely different needs: Praktika is a polished language-learning app for improving spoken fluency through AI tutors, while ReMind is a privacy-first, open-source macOS tool for recording and searching digital activity. Choose Praktika if you want to practice conversation with instant feedback; choose ReMind if you need an offline memory assistant that respects your privacy. They are not direct competitors but rather complementary tools for different aspects of productivity and learning.
Alternatives to ReMind
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Clipto
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Frequently Asked Questions
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