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Voice Cursor vs Vectorize

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Voice Cursor compared with Vectorize
DetailVoice Cursor logo Voice CursorVectorize logo Vectorize
What it doesTurn your voice into action Agent memory that learns from experience
StageMVP Startup
FoundedNot given 2024
Based inNot given US
Pricing modelNot given Freemium
PricingNot given Self-hosted: Free, MIT licensed. Hindsight Cloud: Pay-as-you-go with free credits to start. Retain (store memories) $10.00 per million tokens, Recall (retrieve memories) $0.75 per million tokens, Reflect (synthesize patterns) $0.05 per call, Iris Extract (structured extraction) $7.50 per million tok
Key features
  • Find files across Finder, Gmail, Slack, and Google Calendar
  • Send emails and schedule meetings with voice commands
  • Review actions before execution or enable auto-execute
  • Handle multi-step workflows with a single voice request
  • Works across 20+ apps including Slack, Gmail, Cursor, and Notion
  • Automatic grammar correction and filler word removal
  • Per-user persistent memory with preferences, history and decisions kept separate
  • Cross-session persistence allows context to survive weeks between interactions
  • Fast parallel retrieval in under 100ms through four strategies running simultaneously
  • Works with any LLM without losing learned context when swapping models
  • Learns from mistakes and corrects behavior on repeated problems
  • Automatic pattern detection synthesizes individual facts into consolidated knowledge
  • Conflict detection preserves both old and new states with timestamps when facts change
  • Integrates with 20+ coding agents including Claude Code, Cursor, and Copilot
What makes it different
  • Turn voice into action across multiple apps without switching
  • Execute multi-step workflows with a single voice command
  • User maintains full control with review-before-running option
  • Integrates seamlessly with existing productivity tools and workflows
  • 94.6% retrieval accuracy on LongMemEval-S, beating next-best system at 74.0%
  • MIT licensed open source with no usage limits, telemetry or restrictions
  • Reflection layer automatically builds judgment and mental models over time without manual tagging
  • Entity resolution handles hundreds of entities with 99.5% query reduction
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)38 +1 (up) since last check68 +1 (up) since last check
Trust Flow (Majestic)418
Citation Flow (Majestic)2147
Referring domains (Majestic)231378

4 details filled in for both companies.

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