Skip to main content
NexoraLaunch home

Build log live

Vectorize vs CogniCore

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 CogniCore
DetailVectorize logo VectorizeCogniCore logo CogniCore
What it doesAgent memory that learns from experience Memory that follows you between AI apps
StageStartup Not given
Founded2024 Not given
Based inUS Not given
Pricing modelFreemium Open source
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 Not given
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
  • Connect to Claude via custom connector in Settings
  • Add to ChatGPT with developer mode
  • Automatic session save for Claude Code and Codex
  • Save and resume sessions with brief summaries
  • GitHub sign-in for private separate memory
  • Delete individual memories or all data by email
  • Zero model calls to save a session
  • Session brief generated in ~450 tokens
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
  • Shared memory across multiple AI apps and agents, not confined to one app
  • Setup in about one minute with no credit card or waitlist
  • Open source code so users can verify data handling
  • No data selling, ads or use for AI model training
  • Private per-account database with no cross-account access
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)181
Citation Flow (Majestic)4710
Referring domains (Majestic)137812

4 details filled in for both companies.

More alternatives to Vectorize More alternatives to CogniCore

Ask a question