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Toqan vs Vectorize

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

Toqan compared with Vectorize
DetailToqan logo ToqanVectorize logo Vectorize
What it doesYour AI workspace Agent memory that learns from experience
StageNot given Startup
FoundedNot given 2024
Based inNL 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
  • Build apps and dashboards from prompts without coding
  • Integrates with Slack, Google Drive, Gmail, Notion, and custom data via MCP and OAuth
  • Maintains context and picks up where you left off
  • Runs tasks on a schedule automatically
  • Search and analyze data from PDFs, Google Drive, and Sheets in plain language
  • Built on enterprise-grade infrastructure with GDPR compliance
  • No onboarding or configuration required
  • Send scheduled Slack alerts and digests
  • 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
  • No setup or configuration needed to start using
  • Remembers context and continues work without recaps
  • Learns tasks and runs them automatically on a schedule
  • Built by Prosus, one of the world's largest technology groups
  • 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)32 −1 (down) since last check68 +1 (up) since last check
Trust Flow (Majestic)2418
Citation Flow (Majestic)3247
Referring domains (Majestic)1451378

4 details filled in for both companies.

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