Vector
FreemiumOn-device semantic search for macOS — find apps, files, messages, clipboard instantly.
By Tanmay Verma, Founder · Last verified 03 Jul 2026
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Added 5d ago
77/100Safe BetIn short
Vector — On-device semantic search for macOS — find apps, files, messages, clipboard instantly. Best for macOS power users seeking a faster, smarter alternative to Spotlight, Privacy-conscious users who want local search without cloud dependence, Users who frequently search across files, messages, and clipboard history. Free to use.
Is Vector actually worth it?
LiveSee what real users actually say. We scan live discussions, reviews and complaints across the web and hand you an honest verdict — in under a minute.
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Editorial Verdict
Best for
macOS power users seeking a faster, smarter alternative to SpotlightPrivacy-conscious users who want local search without cloud dependenceUsers who frequently search across files, messages, and clipboard historyKeyboard-driven users who need unified app launching and contextual data
Not ideal for
Windows or Linux users (macOS only)Users who prefer cloud-based AI search tools with broader integrationsUsers on Intel Macs (requires Apple Silicon and macOS 26+)Users needing extensive third-party integrations or plugin ecosystemsUsers who want cloud sync or team collaboration features
A refreshingly privacy-first launcher that finally makes semantic search feel native on macOS. On-device ML keeps it fast and offline, but the lack of integrations and macOS-only limitation mean it won't replace every utility. Best for those who prioritize privacy and simplicity over extensibility.
Compare with: Vector vs findable, Vector vs Read.ai, Vector vs Juicebox PeopleGPT
Last verified: July 2026
What independent users actually report about Vector
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.
59 mentions across 4 sources (Reddit, Hacker News, Product Hunt, Lemmy).
38% positive62% critical
Recurring strengths
- +All processing happens on-device, ensuring user privacy.
- +Works offline with no cloud dependency.
- +Pay-what-you-want pricing with no subscription fees.
- +Intent-aware routing maps addresses, contacts, etc.
- +Ambient context shows calendar, weather based on time.
Recurring frustrations
- −Lack of community feedback makes reliability uncertain.
- −Only supports macOS 26+ on Apple Silicon Macs.
- −No integrations with common productivity tools.
- −Unclear how accurate semantic search is in practice.
- −Independent developer may offer limited support.
Patterns worth knowing
No community feedback exists for Vector itself
Seen on Reddit, Hacker News, Product Hunt, Lemmy
Privacy and offline capabilities are appealing
Seen on Reddit, Hacker News, Product Hunt, Lemmy
Pricing model is refreshing but unproven
Seen on Reddit, Hacker News, Product Hunt
Learning curve
beginnerProductive in ~5 minutes
Hidden costs people mention
- • None reported, but payment is optional
In users’ own words
“In this article I show how both text and images can be used for multimodal search. This allows for multi-part queries, multimodal queries, searching via prompting, promoting/suppressing content by themes, per query curation and personalization. Additionally, I show how other query independent signals can be used to rank documents in addition to similarity. These features allow the creation and curation of…”
“other than adobe products, are there any other vector editing software that can export to swf? Trying to find ones i can afford. EDIT: In addition, doesn't necessarily need to be animator. I have tried SoThink SWF editor but it just crashes,”
“Hey guys, need your opinion on design for a startup website homepage. The trend seems to be to use an evocative "hero image" with some text on the background, like this: http://www.knowtify.io but what do you think of going the opposite route and using vector art like this: http://seclgroup.com or http://www.liquidint.com/mobility/ ? what feel or impression do you get with the vector art approach? have you…”
Real posts from independent users, linked to the source — not testimonials we collected.
Viability Score
77/100
Safe BetHow likely is Vector to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- On-device ML routing model for intent-aware search
- Semantic file search using natural language queries
- Message recall across conversations
- App launching with keyboard-first ranking
- Clipboard history search with instant recall
- Ambient context: calendar, weather, maps based on time/place
- Intent-aware routing: contacts via name, maps via address
- Offline operation without cloud dependency
- Liquid Glass interface using macOS native materials
- Customizable panel placement and source toggles
- Local embedding model for semantic message/file search
- Neural Engine optimization for low latency
- Pay-what-you-want pricing, no subscription
- TelemetryDeck analytics with opt-out for privacy
About Vector
FreemiumIntermediateNo APIDesktop
Vector is a macOS launcher that uses on-device machine learning to provide lightning-fast, privacy-preserving search across apps, files, messages, clipboard history, calendar, weather, maps, and contacts. It combines app launching with semantic file and message search, intelligent routing (e.g., typing an address yields maps), and ambient context (showing calendar in the morning, weather before leaving). The app is tailored for power users who want a faster, more intuitive alternative to Spotlight without sacrificing privacy. All intelligence runs locally on your Mac via embedded routing and embedding models, enabling offline operation and low latency. The Liquid Glass interface adapts to macOS materials and user habits, and customization options allow panel placement, source toggles, and shortcut control. Vector bundles two ML models: a routing model that decides which sources to surface, and an embedding model for semantic search. It uses the Neural Engine where possible, and indexing may briefly use up to 800MB RAM. The app is built by an independent developer, targets macOS Apple Silicon (macOS 26+), and is offered on a pay-what-you-want basis with no subscription. Compared to alternatives like Raycast or Alfred, Vector emphasizes privacy (no cloud dependency) and intention-aware routing over plugin ecosystems or extensive third-party integrations. It's a focused, opinionated tool for users who want a single, fast, and contextually intelligent search panel.
Behind the Verdict
Vector enters a crowded macOS launcher space, but it carves a distinct niche by prioritizing privacy and semantic intelligence over plugin quantity. Its pay-what-you-want model is a bold stand against subscription fatigue – you download it once and keep it. The on-device ML models (routing + embedding) make searches feel immediate and natural: typing 'when is Joseph visiting' brings up the right message. The ambient context (calendar in morning, weather before leaving) is genuinely useful, reducing the need for separate menu-bar widgets. Where Vector stumbles is in extensibility. If you rely on Raycast's deep integrations with Jira, GitHub, or Notion, you'll find Vector's source list limited to macOS-native apps and files. There's no plugin store, no cloud sync, no API. It's deliberately focused – some will call it limiting. Performance is excellent on Apple Silicon (M1-M3), but the 800MB indexing spike and 'macOS 26+' requirement may frustrate users on older hardware. Compared to Raycast, Vector trades workflow automation for a more unified, context-aware search experience. Raycast's strength is its marketplace; Vector's is its laser focus on local, semantic search. Alfred with Powerpack offers similar local search but lacks Vector's routing model and ambient intelligence. The real-world caveat: Vector is a solo developer project. Updates come at their own pace, and the FAQ admits 'new features land whenever they are ready enough.' Early adopters should expect occasional bugs and slower feature cadence than team-backed products. But the core search experience is polished – if you value privacy and speed above all, Vector is a strong choice.
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Use Cases
- Launch apps instantly by typing a few letters, with app results ranked first
- Find a file by describing its content, e.g., 'the Swift file managing networking'
- Recall a message or clipboard item from hours ago using natural language
- Get calendar events in the morning and weather before leaving without extra clicks
- Search for contacts by typing a name and get contact details directly
- Type an address and see map results without switching to Maps app
Models Under the Hood
Custom on-device routing modelCustom on-device embedding model
Limitations
- Vector is currently only available for macOS (Apple Silicon, macOS 26+).
- It does not offer an API or plugin system, and integration with third-party services is limited to what the Mac provides (e.g., no direct cloud service connections).
- The app is in early stages (one developer), so the feature set may evolve.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
One-time
Effective monthly
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Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Resources & Guides
Frequently Asked Questions
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Common stack mates teams adopt alongside Vector, with the specific reason each pairing earns its keep.
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