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Vectorize vs Mobilebox

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

Vectorize compared with Mobilebox
DetailVectorize logo VectorizeMobilebox logo Mobilebox
What it doesAgent memory that learns from experience Mobile sandboxes for your AI agents controlled over REST API and MCP
StageStartup Not given
Founded2024 Not given
Based inUS US
Pricing modelFreemium Paid
PricingSelf-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 Cloud Android 14: $0.01 per phone-minute; iPhone and iPad: $0.05 per phone-minute; Real Android devices: $0.03 per phone-minute; Dedicated devices: from $79 per month. Billed per second with one-minute minimum. Boot time and parked phones free. New accounts start with $2 credit.
Key features
  • 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
  • Cloud Android 14 phones (arm64)
  • iPhone and iPad sandboxes
  • Real Android devices
  • REST API and MCP server
  • Screen as numbered text elements
  • Batch actions (tap, type, swipe up to 20 per call)
  • Park and resume phones with state preserved
  • Live view with step-by-step recording
  • App installation and management
  • Screenshot and text observation modes
What makes it different
  • 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
  • Same API and MCP for Android, iPhone, iPad and real devices
  • Agents interact with real apps like people do
  • Boot time and parked phones are free
  • Works with Claude Code, Codex, Cursor and any HTTP MCP client
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)68 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)180
Citation Flow (Majestic)470
Referring domains (Majestic)13780

6 details filled in for both companies.

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