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Vectorize vs Zep

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 Zep
DetailVectorize logo VectorizeZep logo Zep
What it doesAgent memory that learns from experience The unified context layer for enterprise data
StageStartup Not given
Founded2024 2023
Based inUS US
Pricing modelFreemium Freemium
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 Free plan: 10,000 credits per month. Flex plan: $125/month with 50,000 credits included, then $25 per 10,000 credits. Flex Plus: $375/month with 200,000 credits included, then $75 per 40,000 credits. Enterprise: custom credits with negotiated rates. Credits consumed based on Episode size: 1 credit p
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
  • Sub-200ms context retrieval at scale
  • Temporal context graphs with point-in-time queries
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
  • Reduces token use by up to 90% compared to traditional retrieval
  • Temporal context graphs that track how business information changes over time
  • Enterprise-scale Context Lake supporting millions of graphs
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 check70 +1 (up) since last check
Trust Flow (Majestic)1816
Citation Flow (Majestic)4744
Referring domains (Majestic)13782072

7 details filled in for both companies.

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