ScreenMind
Free local screen memory with AI — privacy-first Microsoft Recall alternative
If you're on macOS and want screen memory without giving up privacy, ScreenMind is the strongest free option — it does vision, audio, and reasoning with one local model, and throws in automations. The catch is it's young (199 stars) and macOS-only; cloud sync and Windows/Linux support are missing. Worth trying for privacy-first users who can handle a GitHub-based setup.
Verified 1d ago · liveness 76/100 · cite: rightaichoice.com/tools/screenmind
- Privacy-conscious macOS users who want Recall-like screen memory without cloud telemetry
- Developers building automations on screen history via the Agent platform or MCP Server
- Researchers needing searchable, AI-analyzed screen logs entirely on-device
- Meeting-heavy workers who need local transcription and summaries, no subscription
- Users who need cloud sync or multi-device access to their screen history
- Teams requiring centralized screen history management or shared dashboards
- Non-technical users who shy away from GitHub setup and model downloads
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Skip ScreenMind if you need cloud sync or multi-device access to your screen history, are on Windows or Linux (it's macOS-only), want a polished commercial product with official support, or expect frontier-model chat quality.
Going past the default analysis mode (Accurate ~76s) may increase GPU/CPU usage and slow your machine during capture analysis.
ScreenMind is free and open-source (MIT), with no subscription — you only pay in compute (local GPU/CPU) and setup effort. It competes with free tiers of commercial screen-memory tools and compares favorably to screenpipe's source-available license, since ScreenMind is fully MIT. For teams considering Recall-like cloud products, ScreenMind's per-seat cost is $0, but you lose centralized management and cloud features.
In short
ScreenMind — Free local screen memory with AI — privacy-first Microsoft Recall alternative. Best for Privacy-conscious macOS users who want Recall-like screen memory without cloud telemetry, Developers building automations on screen history via the Agent platform or MCP Server, Researchers needing searchable, AI-analyzed screen logs entirely on-device. Free to use.
What people actually say about ScreenMind — 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.
21 mentions across 5 sources (Hacker News, YouTube, Product Hunt, Bluesky, GitHub) · researched Jul 26, 2026.
- +100% local – no cloud dependency or telemetry at all.
- +Free and open-source (MIT license) – no subscription or hidden fees.
- +Uses Gemma 4 with vision, audio, and reasoning on-device.
- +Smart content-change capture avoids pointless screenshots.
- +Three analysis modes (Accurate, Balanced, Fast) suit different hardware.
- −Linux Wayland capture is completely broken for many users.
- −Frequently misidentifies applications as VSCode or Programming.
- −Only captures main screen on multi-monitor setups.
- −No Windows multi-monitor support confirmed.
- −Limited community and slow support response times.
Viability Score
How well maintained and how widely used is ScreenMind? 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: August 2026
How we score →Key Features
- Content-change screen capture with pHash dedup and idle detection
- Gemma 4 vision analysis: app detection, activity, mood, layout
- Hybrid semantic (MiniLM) + FTS5 keyword search
- Conversational RAG chat with follow-up support and vision fallback
- Voice memos with native Gemma 4 audio transcription (Ctrl+Shift+V)
- Meeting transcription for Zoom, Teams, Google Meet with summaries
- Analytics dashboard: category breakdown, top apps, hourly heatmap, focus metrics
- Day Rewind timelapse with play/pause/scrub/speed controls
- Three analysis modes: Accurate (~76s), Balanced (~40s), Fast (~12s)
- Per-app pHash cache with 3-tier caching and app-aware staleness
- Chat-first GPU priority — cancels in-flight analysis in <1s
- Auto-pause for heavy apps (games, video editors, 3D software)
- Sensitive data redaction (credit cards, SSNs, API keys, passwords)
- AES encryption at rest (Fernet + OS keyring) and dashboard PIN lock
- Incognito mode one-click pause
About ScreenMind
ScreenMind is a free, open-source macOS app that records your screen, analyzes it with Gemma 4, and turns it into a searchable, chat-with-able AI memory — all on-device with zero cloud dependency. It was built as a direct answer to Microsoft Recall's privacy failings, and it currently sits at 199 GitHub stars with an MIT license. The pitch is simple: if you want Recall-style screen memory without telemetry or plaintext storage, this is the local route. The core loop is smart capture, not a fixed timer. ScreenMind detects actual content changes using pHash deduplication and auto-pauses for heavy apps like games or video editors. Every screenshot gets analyzed by Gemma 4 — the same model handles vision, audio, and reasoning — producing app detection, activity categorization, mood, and scene description. You can then search with hybrid semantic (MiniLM embeddings) and FTS5 keyword search, or just ask in natural language with conversational RAG chat that supports follow-ups. Beyond the basics, ScreenMind includes voice memos (Hold Ctrl+Shift+V, transcribed by Gemma 4's native audio encoder — no Whisper needed), auto-detected meeting transcription for Zoom, Teams, and Google Meet with structured summaries, an analytics dashboard with category breakdowns and hourly heatmaps, and Day Rewind timelapse playback. The in-app Model Hub downloads models with live progress, so you never touch a terminal for that part. Need automation? There's an Agent platform that runs Markdown or Python agents, plus an MCP Server to expose screen history to Claude Desktop, Cursor, VS Code, Obsidian, Notion, Slack, Discord, and IFTTT via webhooks. Privacy is the whole point: all data stays local, screenshots are AES-encrypted with Fernet and the OS keyring, and sensitive data like credit cards and API keys get auto-redacted. A dashboard PIN lock and one-click Incognito mode are also included. Compared to alternatives, ScreenMind is more open (MIT) than screenpipe's source-available license.
Behind the Verdict
ScreenMind is a compelling answer to Microsoft Recall for the privacy-conscious Mac user. The core pitch — 100% local, 100% private — is backed by real engineering choices, not marketing. The use of Gemma 4 as a single model for vision, audio, and reasoning is elegant: you don't juggle multiple local models or deal with Whisper + LLaVA + something else. The smart capture with pHash deduplication is a genuine differentiator; it's not just a fixed-interval screenshotter. It captures when your screen actually changes, which saves compute and storage. The three analysis modes (Accurate ~76s, Balanced ~40s, Fast ~12s) give you control over the latency/quality tradeoff, which is important if you're on modest hardware (the seed data explicitly mentions 4GB VRAM or CPU-only support). Where it gets interesting is the automation layer. The Agent platform runs Markdown or Python agents, and the MCP Server exposes your screen history to Claude Desktop, Cursor, VS Code, Obsidian, and even Slack and Discord via webhooks. That's a lot of integration surface for a free tool. If you live in Cursor or VS Code and want to ask 'what was that error message from yesterday' without alt-tabbing, this is genuinely useful. Meeting transcription is a highlight — it auto-detects Zoom, Teams, and Google Meet, records, transcribes, and generates structured summaries, all locally. For meeting-heavy workers who don't want to pay for a subscription transcription service, this is a significant value-add. Voice memos with Ctrl+Shift+V transcribe via Gemma 4's native audio encoder, no separate Whisper model needed. Weaknesses are real. First, macOS-only currently. Windows and Linux users are out of luck, despite the README mentioning cross-platform auto-start. Second, it's a young project (199 stars) — you're the early adopter, with limited official support and a DIY GitHub setup. Third, cloud sync and multi-device access are absent; if you want your screen history on your iPhone or a second Mac, there's no path. Fourth, Gemma 4 is good but not frontier-class — for nuanced chat about your screen history, you might find yourself wanting more reasoning power. Setup requires running a local model via the Model Hub, which downloads models with live progress — no terminal needed, but you do need the compute. The README mentions a Quick Start and architecture docs, so there's a path for the technical user. Where it fits: privacy-first Mac users, developers building automations, researchers needing searchable screen logs, meeting-heavy workers avoiding subscriptions, and people on modest hardware who can't afford NPU-based PCs. Where it doesn't: users needing cloud sync, teams requiring centralized management, non-technical users, and Windows/Linux users.
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Real-world workflow fit
Concrete scenarios for the personas ScreenMind actually fits — and what changes day-one when you adopt it.
You're debugging a stubborn error that flashed on screen yesterday. You set up the MCP Server and ask Cursor 'what was the error message on my screen yesterday afternoon?'
Outcome: Cursor connects to your screen history via MCP, retrieves the exact screenshot and Gemma 4's analysis, and you resolve the bug without digging through logs.
You join a Zoom call about requirements. ScreenMind auto-detects the meeting, records audio, transcribes it locally, and generates a structured summary.
Outcome: After the call, I ask 'what were the action items from the Zoom call?' and get a clean summary with timestamps, no cloud transcription subscription needed.
You spend hours reading PDFs and papers on screen. ScreenMind captures and analyzes each page with pHash dedup, so only meaningful changes are stored.
Outcome: Later I search 'what did the paper about attention mechanisms say?' and retrieve the exact moment, fully on-device with no telemetry leaving my Mac.
Use Cases
- Quickly recall a code snippet you saw in a tutorial but didn't bookmark.
- Search your screen history for a specific error message that appeared days ago.
- Chat with your screen memory to retrieve meeting notes or project ideas.
- Automate logging of your work by capturing screenshots at regular intervals.
- Build a custom agent that uses your screen history as context for decision-making.
- Get local transcription and summaries for Zoom/Teams/Meet calls without a subscription.
- Maintain a private, searchable archive of all information displayed on your monitor.
Models Under the Hood
as of 2026-08-10
Limitations
- ScreenMind is an open-source project hosted on GitHub, suggesting a DIY setup with limited official support.
- It relies on the Gemma 4 model running locally, which requires substantial compute resources for real-time screen analysis.
- Currently macOS-only — no Windows or Linux support.
- No cloud sync or multi-device access.
- The project is young (199 stars), so you're an early adopter with a smaller community for help.
- Gemma 4 is capable but not frontier-class, so very deep reasoning about screen history may be limited.
as of 2026-08-14
Verification history
We have re-verified ScreenMind 10 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
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where ScreenMind's pricing actually pencils out — and where peers do it cheaper.
ScreenMind is free and open-source (MIT), with no subscription — you only pay in compute (local GPU/CPU) and setup effort. It competes with free tiers of commercial screen-memory tools and compares favorably to screenpipe's source-available license, since ScreenMind is fully MIT. For teams considering Recall-like cloud products, ScreenMind's per-seat cost is $0, but you lose centralized management and cloud features.
Setup time & first value
How long it actually takes to get something useful out of ScreenMind — broken out by persona, not the marketing-page minute.
Technical macOS user: 15-30 minutes — clone the GitHub repo, install Python dependencies, and use the Model Hub to download Gemma 4 (live progress bar, no terminal). First value (searchable screen history) within an hour. Non-technical user: expect 1-2 hours, since there's no one-click installer and you'll read the README and docs.
Switching to or from ScreenMind
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Microsoft Recall (if you're on Windows and switching to Mac): export your screenshots manually — ScreenMind can't import Recall's database — then start fresh on macOS with ScreenMind's local capture.
- ↗To a cloud sync tool: no official export tooling, but screen history is stored locally as screenshots, so you can manually copy the image files to any destination.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with ScreenMind
Common stack mates teams adopt alongside ScreenMind, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Screenmind vs Sublime Security
ScreenMind is a fantastic free, open-source tool for privacy-conscious individuals needing local screen memory and analysis, while Sublime Security is a specialized enterprise-grade email security platform for teams fighting BEC/phishing. Choose ScreenMind for personal productivity and local AI; choose Sublime if you're a security team handling advanced email threats with low false positive requirements.
Screenmind vs Polycam
Don't pit them head-to-head — they solve completely different problems. If you need high-fidelity 3D scanning of real-world spaces with floor plans and drone support, Polycam is the clear choice, especially at under $12/mo for Pro. If you want a private, local screen memory that indexes your entire desktop activity and lets you chat with it, ScreenMind is a unique, free, and powerful tool — provided you're on macOS.
Screenmind vs Push Security
If your priority is browser security – blocking AiTM phishing, shadow SaaS, and AI data leaks – Push Security is the clear choice. But if you need private, on-device screen memory for personal productivity and recall, ScreenMind is a groundbreaking free tool. They solve completely different problems; pick based on whether you're securing a workforce or augmenting your own memory.
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