Vector
On-device semantic search launcher for macOS – find apps, files, messages, and more instantly.
Vector is a smart buy for Apple Silicon users who want a privacy-first Spotlight replacement with real semantic search. It's fast, local, and native-feeling. But if you rely on third-party plugins or need Intel Mac support, it's not for you yet. Compared to Raycast and Alfred, it trades extensibility for deeper local intelligence and zero subscription. If you prize semantic search and privacy over plugin ecosystems, Vector wins.
Verified 1d ago · liveness 61/100 · cite: rightaichoice.com/tools/vector
- macOS power users looking for a faster, smarter Spotlight replacement
- Privacy-conscious individuals who want local semantic search without cloud
- Users who frequently search across files, messages, and clipboard history
- Keyboard-driven users wanting a unified launcher with contextual data
- Windows or Linux users (macOS only)
- Users on Intel Macs (requires Apple Silicon and macOS 26+)
- Those needing extensive third-party integrations or plugin ecosystems
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Skip Vector if you're on an Intel Mac or older macOS, need third-party plugin support, or require cloud-based cross-device sync.
While the app is pay-what-you-want, there's no free tier with full features—you need to pay at least $0 to access the full feature set.
Vector's pay-what-you-want model (starting at $0) is cheaper than Raycast Pro ($8/mo) or Alfred's Powerpack ($79 one-time). It fits solo power users and privacy-focused individuals who want a premium launcher without recurring fees. Teams with budget may still prefer Raycast for its plugin ecosystem and team features.
In short
Vector — On-device semantic search launcher for macOS – find apps, files, messages, and more instantly. Best for macOS power users looking for a faster, smarter Spotlight replacement, Privacy-conscious individuals who want local semantic search without cloud, Users who frequently search across files, messages, and clipboard history. Free to use.
What people actually say about Vector — 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.
112 mentions across 8 sources (Hacker News, YouTube, Product Hunt, App Store, Stack Overflow, GitHub, Lemmy, Tech Press) · researched Aug 5, 2026.
- +On-device ML ensures total privacy with no cloud dependency.
- +Intent-aware routing (address→maps, name→contacts) feels magical when it works.
- +Pay-what-you-want, one-time pricing—no subscription creep.
- +Liquid Glass UI looks native and adapts to user habits.
- +Semantic search finds files Spotlight can't, especially by content.
- −Initial indexing of large message histories is slow.
- −Routing model requires manual tuning; not plug-and-play.
- −Semantic results sometimes miss the exact file you wanted.
- −Occasional crashes during heavy indexing; stability concerns.
- −Documentation and community support are thin.
- • No hidden costs per se, but early adopters may need to donate for future updates.
- • Potential paid plugins or integrations later (speculative).
Viability Score
How well maintained and how widely used is Vector? 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
- On-device ML routing model for intent-based source selection
- Semantic file search using natural-language queries
- Message recall across conversations with local embeddings
- Instant app launching with keyboard-first ranking
- Clipboard history search from the same panel
- Ambient context surfaces: calendar, weather, maps based on time/place
- Intent-aware routing: contacts by name, maps by address
- Offline operation with no cloud dependency
- Liquid Glass interface using native macOS materials
- Customizable panel placement and source toggles
- Neural Engine optimization for low latency
- Works offline after initial setup
- No recurring fee, pay-what-you-want model
- TelemetryDeck analytics with opt-out
- Indexing data storable and removable locally
About Vector
Vector is a macOS launcher that turns your Mac into a search-first command surface. It bundles two on-device ML models—a routing model that decides which source to query and an embedding model for semantic recall—so you can type a person's name to get contacts, an address for maps, or a natural-language question like "Which Swift file manages networking?" and get relevant local results. This isn't keyword matching; it's intent-aware search across apps, files, messages, clipboard history, maps, contacts, calendar, and weather, all in one keyboard-first panel. Because everything runs locally, Vector works offline and keeps your data on your machine. The app's Liquid Glass interface borrows native macOS materials, making it feel like a built-in extension of the system rather than a bolted-on utility. It also adapts to your day—showing calendar in the morning, weather before you leave, or place results when you're heading out. For privacy-minded power users, this architectural local processing is the core appeal: no cloud dependency, no server-side indexing, and optional TelemetryDeck analytics that are opt-out and collect no personal content. It's built for Apple Silicon Macs running macOS 26+, with performance optimized for the Neural Engine. Vector is an opinionated alternative to Spotlight, Raycast, and Alfred—focused, fast, and subscription-free. It's a direct replacement for the friction of Spotlight, but it doesn't aim to replicate Raycast's plugin ecosystem. If you want a launcher that truly understands meaning and never sends your data off-device, Vector delivers that in a polished, native package.
Behind the Verdict
Vector stands out in the crowded launcher space by betting entirely on on-device intelligence. The dual-model approach—a routing model for intent and an embedding model for semantic recall—means queries like "the Swift file managing networking" actually surface the right file, not just keyword matches. This is a genuine leap over Spotlight's metadata-only search and a different philosophy from Raycast's plugin-driven power. The privacy story is architectural, not marketing: everything runs locally, works offline, and analytics are opt-out with no personal content. For anyone who's uncomfortable with cloud-based assistants indexing their messages or files, this is a significant trust advantage. Weaknesses are real but tied to its niche. It's macOS-only and requires Apple Silicon with macOS 26+—so a huge chunk of existing Mac users are locked out. There's no plugin ecosystem, no API, and third-party integrations are limited to what the Mac provides. The app is early-stage, built by one developer, so feature velocity and long-term support are open questions. The pay-what-you-want model is refreshing but could raise sustainability concerns. Where it fits: privacy-conscious power users who live in the keyboard and want a faster, smarter Spotlight without subscriptions. Where it doesn't: teams needing centralized management, users on Intel Macs, or anyone who depends on Raycast/Alfred extensions. If you're debating between Vector and Raycast, ask whether you value semantic search and privacy more than a plugin marketplace. If yes, Vector is your pick.
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Real-world workflow fit
Concrete scenarios for the personas Vector actually fits — and what changes day-one when you adopt it.
Type 'which file handles networking' and get the exact Swift file instantly, without browsing project folders.
Outcome: Saves hours of manual searching each week and keeps focus in the keyboard.
Search for a message from a colleague about 'airport pickup' using natural language, with everything processed on-device.
Outcome: Finds the conversation without uploading any data, maintaining full privacy.
Open Vector in the morning to see your calendar, weather, and top contacts in one panel, then launch apps with a few keystrokes.
Outcome: Starts the day organized and reduces context switching across multiple utilities.
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
as of 2026-08-19
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.
- The app is in early stages (one developer), so the feature set may evolve.
as of 2026-08-21
Verification history
We have re-verified Vector 6 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
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 Vector tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Pay What You Want
$0+
Ideal for
Solo users and privacy enthusiasts who want a full-featured launcher without a recurring fee and are comfortable paying $0 or more.
What this tier adds
Starting tier and free entry point: full feature set with no recurring fee, on-device processing, and optional analytics.
Where the pricing makes sense
The company stage and team size where Vector's pricing actually pencils out — and where peers do it cheaper.
Vector's pay-what-you-want model (starting at $0) is cheaper than Raycast Pro ($8/mo) or Alfred's Powerpack ($79 one-time). It fits solo power users and privacy-focused individuals who want a premium launcher without recurring fees. Teams with budget may still prefer Raycast for its plugin ecosystem and team features.
Setup time & first value
How long it actually takes to get something useful out of Vector — broken out by persona, not the marketing-page minute.
Download and install takes under 5 minutes. First indexing may take a few minutes depending on your data size; you can start using Vector immediately for app launching and basic searches.
Switching to or from Vector
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Spotlight: Just start using Vector—no migration needed. Your existing apps and files are indexed automatically.
- →From Raycast: You'll lose plugin extensions, but core launcher features carry over. Rebuild any workflows manually.
- →From Alfred: Similar to Raycast; your snippets and workflows don't transfer, but basic launching and clipboard history are immediate.
- ↗To Raycast: Your Vector data won't carry over, but Raycast's import features for launchers may help; otherwise rebuild your favorite searches.
- ↗To Alfred: Similar to Raycast; no direct export from Vector, but you can reference your old workflows to rebuild.
Resources & Guides
Tutorials & Learning
Official links
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Common stack mates teams adopt alongside Vector, with the specific reason each pairing earns its keep.
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Featured Head-to-Head Comparisons
Vector vs Guesty
Guesty and Vector serve entirely different needs: Guesty is a comprehensive property management platform for vacation rental businesses, while Vector is a macOS productivity launcher. Choose Guesty if you manage multiple rental listings and need AI-driven automation; choose Vector if you're a Mac power user seeking fast, private on-device search. They are not direct competitors.
Vector vs Poke Interaction Co
If you're a macOS power user craving a privacy-first, lightning-fast semantic search for local files, messages, and clipboard, Vector is your pick. But if you want an AI assistant that handles email, calendar, health tracking, and automations right inside Apple Messages or WhatsApp—with verified integration and proactive workflows—Poke wins. For most people doing daily productivity tasks across multiple services, Poke's broader integration set and proactive automations have more practical utility.
Vector vs Gem
If you're a hiring team overwhelmed with repetitive recruiting tasks—sourcing, screening, scheduling—Gem's AI agents can automate most of the process and integrate with your existing ATS. Vector is an entirely different tool: a macOS-native, privacy-first semantic search replacement for Spotlight for individuals. Choose based on your domain: recruiting operations vs personal productivity on Mac.
Mypeas Ai vs Vector
If you need to find files and messages faster on your Mac without sending data to the cloud, Vector is your pick—it's free and fully offline. If you need to document every AI interaction to justify your productivity at review time, MYPEAS.ai is the only tool that generates evidence-backed reports. They solve completely different problems; choose based on whether you want to search or to prove.
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