ScreenMind
FreePrivacy-first screen memory AI that runs 100% locally on your machine.
By Tanmay Verma, Founder · Last verified 20 Jun 2026
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Added 4d ago
87/100Safe BetIn short
ScreenMind — Privacy-first screen memory AI that runs 100% locally on your machine. Best for Privacy-conscious professionals who need a local screen memory tool, Developers building automations on top of screen history, Researchers wanting searchable, AI-analyzed screen logs without cloud. Free to use.
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Is ScreenMind actually worth it?
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Editorial Verdict
Best for
Privacy-conscious professionals who need a local screen memory toolDevelopers building automations on top of screen historyResearchers wanting searchable, AI-analyzed screen logs without cloudUsers seeking an open-source alternative to Microsoft RecallMeeting-heavy workers who need local transcription and summaries
Not ideal for
Users requiring cloud sync or multi-device accessTeams needing centralized screen history managementThose with low-end hardware (GPU required for Gemma 4)Non-technical users intimidated by command-line setup or self-hosting
ScreenMind is the strongest open-source alternative to Microsoft Recall for users who demand total privacy and local processing. Its Gemma 4 integration and agent platform are standout features, but the 76-second 'Accurate' mode may feel sluggish for power users. For teams needing centralized screen history or cloud sync, look elsewhere.
Compare with: ScreenMind vs Jamie, ScreenMind vs Circleback, ScreenMind vs Fellow
Last verified: June 2026
Behind the Verdict
ScreenMind hits a sweet spot for a specific audience: developers and privacy-conscious professionals who want to keep their screen history entirely local. The core value proposition — running a multimodal vision model (Gemma 4) on every screenshot without sending data to the cloud — is genuinely differentiated from cloud-based screen recorders or AI copilots. Features like smart content-change capture, hybrid semantic+FTS5 search, and conversational RAG make the captured history actually useful. The agent platform and MCP Server integration are forward-looking, enabling automations that connect screen context to other tools. However, ScreenMind has real constraints: the most accurate analysis mode takes ~76 seconds per capture, even Fast mode (~12s) feels slow for real-time search. It requires a GPU with at least 4GB VRAM (as shown by a user running it on a 4GB GPU), making it unsuitable for low-end machines. Setup is command-line based, and documentation is relatively thin — not for non-technical users. There's also no cloud sync, no multi-device access, and no team management. If you need those, look at cloud-based alternatives. For a solo developer or researcher who values privacy and is willing to tinker, ScreenMind is compelling.
Skip ScreenMind if Skip ScreenMind if you need cloud sync, multi-device access, or a polished GUI out of the box — this is a developer-focused, DIY open-source tool.
Latest from ScreenMind
Updated yesterdayAcross the latest 1 update: 1 news mention.
What independent users actually report about ScreenMind
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.
27 mentions across 3 sources (Hacker News, YouTube, Product Hunt).
40% positive60% critical
Recurring strengths
- +100% local and private with no cloud dependencies.
- +Uses Gemma 4 model for advanced screen analysis.
- +Low hardware requirements: runs on a 4GB GPU.
- +Open-source with SDK and MCP server for integration.
- +Cross-platform: Windows, macOS, and Linux support.
Recurring frustrations
- −Extremely limited community: almost no real user feedback.
- −YouTube comments unrelated to the tool, polluting data.
- −No evidence of reliability or bug-free operation.
- −Setup may require technical knowledge beyond beginners.
- −No clear timeline for updates or roadmap.
Patterns worth knowing
Privacy and locality praised but unproven in practice
Seen on Hacker News, Product Hunt
Low hardware requirements attract developers
Seen on Hacker News
No real user reviews create uncertainty
Seen on Hacker News, Product Hunt
Learning curve
intermediateProductive in ~A few hours
Hidden costs people mention
- • Potential hardware upgrade for heavy use
- • Time for setup and customization
Viability Score
87/100
Safe BetHow likely is ScreenMind to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
100
funding runway
40
website health
90
wrapper dependency
100
Last calculated: June 2026
How we score →About ScreenMind
ScreenMind is an open-source desktop application that captures, analyzes, and indexes your screen activity using Google's Gemma 4 multimodal model. Everything runs on-device — no cloud dependencies, no telemetry. You can later search or chat with your screen history via conversational RAG. It includes features like smart content-change capture, voice memos, meeting transcription, an analytics dashboard, day-rewind timelapse, and an agent platform for automations. Integrates with Obsidian, Notion, Slack, Discord, and more via MCP Server. Designed for developers, researchers, and privacy-conscious professionals who want an alternative to Microsoft Recall — with full local control and MIT licensing.
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Key Features
- Smart content-change detection capture
- Gemma 4 multimodal vision analysis
- Hybrid semantic (MiniLM) + FTS5 keyword search
- Conversational RAG with follow-up support
- Voice memos with Gemma 4 audio encoding
- Meeting transcription for Zoom/Teams/Meet
- Analytics dashboard with category breakdown and heatmap
- Day Rewind timelapse playback
- Three analysis modes: Accurate (~76s), Balanced (~40s), Fast (~12s)
- Auto-pause on heavy apps (games, video editors)
- Sensitive data redaction (credit cards, API keys)
- AES encryption at rest with OS keyring
- Incognito mode one-click pause
- Agent platform for Markdown/Python automations
- System-wide customizable hotkeys
Real-world workflow fit
Concrete scenarios for the personas ScreenMind actually fits — and what changes day-one when you adopt it.
Developer recalling a code snippet
You saw a useful Python function in a tutorial video yesterday but didn't save it. You open ScreenMind, type 'that Python function with asyncio and retry logic', and get the exact screenshot with the code visible.
Outcome: Recovered the snippet in seconds without digging through browser history or video timestamps.
Researcher analyzing screen time
You want to know how much time you spent on research papers vs. email last week. ScreenMind's analytics dashboard shows category breakdowns and an hourly heatmap, letting you spot patterns.
Outcome: Identified that you spend 40% of screen time on reading papers, helping you plan focused blocks.
Meeting-heavy worker transcribing calls
You join a Zoom meeting. ScreenMind auto-detects the app, records audio, transcribes the conversation, and generates a structured summary with action items.
Outcome: You have a searchable transcript and summary without manual note-taking, even if you didn't know the meeting would be important.
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.
- Maintain a private, searchable archive of all information displayed on your monitor.
Models Under the Hood
Gemma 4MiniLM (semantic embeddings)
Limitations
ScreenMind is a relatively new open-source project with limited community documentation and no official GUI. Setup requires cloning the repository and running Python scripts. The Gemma 4 model requires significant local compute resources (at least 4GB GPU VRAM), and capture intervals may impact system performance on lower-end machines. Accurate mode takes ~76 seconds per capture, which may feel slow for power users.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published ScreenMind tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source
$0/mo
Ideal for
Solo developer or privacy enthusiast willing to clone a repo, run Python scripts, and self-host for zero cost.
What this tier adds
Free entry point with no usage limits. Single-user, local-only, community support via GitHub.
Integrations
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 under MIT license — zero cost. The only investment is your time for setup and a capable GPU. Comparable proprietary tools like Microsoft Recall are free but not private; cloud-based alternatives like Rewind AI charge $20+/mo. For privacy-first users, ScreenMind is the cheapest option, provided you have the hardware.
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.
For a developer familiar with Python and Git: clone the repo, install dependencies (~10 min), run setup script to download the Gemma 4 model (10-20 min depending on internet), then configure hotkeys and start capturing — about 30-40 minutes total. Non-technical users may need 1-2 hours following the README and MCP setup guide.
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.
Migrating in
- →From Microsoft Recall: Export your Recall data (if possible) via Microsoft's Data Export tool, then manually index it into ScreenMind's local storage. No direct import tool yet.
- →From Rewind AI: Export your recordings from Rewind (JSON or CSV), then use a custom script to convert and import into ScreenMind's SQLite database.
Migrating out
- ↗To another tool: ScreenMind stores data in local SQLite with AES encryption. You can export screenshots and metadata via a custom Python script using the SDK.
Recent material changes
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
- •2026-06-13: Hacker News Show HN confirms ScreenMind runs Gemma 4 on a 4GB GPU, demonstrating accessibility for budget hardware.
Resources & Guides
Frequently Asked Questions
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
If you need a private, local screen memory copilot for personal productivity and automation, ScreenMind is the clear winner—free, open-source, and runs entirely on your hardware. For enterprise security teams fighting advanced email threats like BEC and VEC, Sublime Security is purpose-built with low false positives and custom detection rules. They solve entirely different problems; choose based on your domain: personal productivity vs. corporate email defense.
Screenmind vs Polycam
Polycam and ScreenMind serve entirely different needs. If you're architecting or documenting the physical world, Polycam's LiDAR and photogrammetry are unmatched. If you need private, local screen memory and analysis on your computer, ScreenMind's open-source, zero-cloud design is the clear winner. Choose based on your reality: physical space vs digital activity.
Screenmind vs Push Security
Choose Push Security if you're an enterprise security team needing to protect against advanced browser attacks and control AI usage across your organization. Choose ScreenMind if you're a privacy-focused individual wanting a local, searchable screen memory tool for personal productivity. They serve entirely different needs.
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